vpx/vp9/encoder/vp9_encodeframe.c

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2010-05-18 17:58:33 +02:00
/*
* Copyright (c) 2010 The WebM project authors. All Rights Reserved.
2010-05-18 17:58:33 +02:00
*
* Use of this source code is governed by a BSD-style license
* that can be found in the LICENSE file in the root of the source
* tree. An additional intellectual property rights grant can be found
* in the file PATENTS. All contributing project authors may
* be found in the AUTHORS file in the root of the source tree.
2010-05-18 17:58:33 +02:00
*/
#include <limits.h>
#include <math.h>
#include <stdio.h>
#include "./vp9_rtcd.h"
#include "./vpx_config.h"
#include "vpx_ports/vpx_timer.h"
#include "vp9/common/vp9_common.h"
#include "vp9/common/vp9_entropy.h"
#include "vp9/common/vp9_entropymode.h"
#include "vp9/common/vp9_extend.h"
#include "vp9/common/vp9_findnearmv.h"
#include "vp9/common/vp9_idct.h"
#include "vp9/common/vp9_mvref_common.h"
#include "vp9/common/vp9_pred_common.h"
#include "vp9/common/vp9_quant_common.h"
#include "vp9/common/vp9_reconintra.h"
#include "vp9/common/vp9_reconinter.h"
#include "vp9/common/vp9_seg_common.h"
#include "vp9/common/vp9_tile_common.h"
#include "vp9/encoder/vp9_encodeframe.h"
#include "vp9/encoder/vp9_encodemb.h"
#include "vp9/encoder/vp9_encodemv.h"
#include "vp9/encoder/vp9_onyx_int.h"
#include "vp9/encoder/vp9_rdopt.h"
#include "vp9/encoder/vp9_segmentation.h"
#include "vp9/common/vp9_systemdependent.h"
#include "vp9/encoder/vp9_tokenize.h"
#include "vp9/encoder/vp9_vaq.h"
#define DBG_PRNT_SEGMAP 0
// #define ENC_DEBUG
#ifdef ENC_DEBUG
int enc_debug = 0;
#endif
static INLINE uint8_t *get_sb_index(MACROBLOCK *x, BLOCK_SIZE subsize) {
switch (subsize) {
case BLOCK_64X64:
case BLOCK_64X32:
case BLOCK_32X64:
case BLOCK_32X32:
return &x->sb_index;
case BLOCK_32X16:
case BLOCK_16X32:
case BLOCK_16X16:
return &x->mb_index;
case BLOCK_16X8:
case BLOCK_8X16:
case BLOCK_8X8:
return &x->b_index;
case BLOCK_8X4:
case BLOCK_4X8:
case BLOCK_4X4:
return &x->ab_index;
default:
assert(0);
return NULL;
}
}
static void encode_superblock(VP9_COMP *cpi, TOKENEXTRA **t, int output_enabled,
int mi_row, int mi_col, BLOCK_SIZE bsize);
static void adjust_act_zbin(VP9_COMP *cpi, MACROBLOCK *x);
/* activity_avg must be positive, or flat regions could get a zero weight
* (infinite lambda), which confounds analysis.
* This also avoids the need for divide by zero checks in
* vp9_activity_masking().
*/
#define ACTIVITY_AVG_MIN (64)
/* Motion vector component magnitude threshold for defining fast motion. */
#define FAST_MOTION_MV_THRESH (24)
/* This is used as a reference when computing the source variance for the
* purposes of activity masking.
* Eventually this should be replaced by custom no-reference routines,
* which will be faster.
*/
static const uint8_t VP9_VAR_OFFS[64] = {
128, 128, 128, 128, 128, 128, 128, 128,
128, 128, 128, 128, 128, 128, 128, 128,
128, 128, 128, 128, 128, 128, 128, 128,
128, 128, 128, 128, 128, 128, 128, 128,
128, 128, 128, 128, 128, 128, 128, 128,
128, 128, 128, 128, 128, 128, 128, 128,
128, 128, 128, 128, 128, 128, 128, 128,
128, 128, 128, 128, 128, 128, 128, 128
};
static unsigned int get_sby_perpixel_variance(VP9_COMP *cpi, MACROBLOCK *x,
BLOCK_SIZE bs) {
unsigned int var, sse;
var = cpi->fn_ptr[bs].vf(x->plane[0].src.buf,
x->plane[0].src.stride,
VP9_VAR_OFFS, 0, &sse);
return (var + (1 << (num_pels_log2_lookup[bs] - 1))) >>
num_pels_log2_lookup[bs];
}
// Original activity measure from Tim T's code.
static unsigned int tt_activity_measure(MACROBLOCK *x) {
unsigned int act;
unsigned int sse;
/* TODO: This could also be done over smaller areas (8x8), but that would
* require extensive changes elsewhere, as lambda is assumed to be fixed
* over an entire MB in most of the code.
* Another option is to compute four 8x8 variances, and pick a single
* lambda using a non-linear combination (e.g., the smallest, or second
* smallest, etc.).
*/
act = vp9_variance16x16(x->plane[0].src.buf, x->plane[0].src.stride,
VP9_VAR_OFFS, 0, &sse);
act <<= 4;
/* If the region is flat, lower the activity some more. */
if (act < 8 << 12)
act = act < 5 << 12 ? act : 5 << 12;
return act;
}
// Stub for alternative experimental activity measures.
static unsigned int alt_activity_measure(MACROBLOCK *x, int use_dc_pred) {
return vp9_encode_intra(x, use_dc_pred);
}
// Measure the activity of the current macroblock
// What we measure here is TBD so abstracted to this function
#define ALT_ACT_MEASURE 1
static unsigned int mb_activity_measure(MACROBLOCK *x, int mb_row, int mb_col) {
unsigned int mb_activity;
if (ALT_ACT_MEASURE) {
int use_dc_pred = (mb_col || mb_row) && (!mb_col || !mb_row);
// Or use and alternative.
mb_activity = alt_activity_measure(x, use_dc_pred);
} else {
// Original activity measure from Tim T's code.
mb_activity = tt_activity_measure(x);
}
if (mb_activity < ACTIVITY_AVG_MIN)
mb_activity = ACTIVITY_AVG_MIN;
return mb_activity;
}
// Calculate an "average" mb activity value for the frame
#define ACT_MEDIAN 0
static void calc_av_activity(VP9_COMP *cpi, int64_t activity_sum) {
#if ACT_MEDIAN
// Find median: Simple n^2 algorithm for experimentation
{
unsigned int median;
unsigned int i, j;
unsigned int *sortlist;
unsigned int tmp;
// Create a list to sort to
CHECK_MEM_ERROR(&cpi->common, sortlist, vpx_calloc(sizeof(unsigned int),
cpi->common.MBs));
// Copy map to sort list
vpx_memcpy(sortlist, cpi->mb_activity_map,
sizeof(unsigned int) * cpi->common.MBs);
// Ripple each value down to its correct position
for (i = 1; i < cpi->common.MBs; i ++) {
for (j = i; j > 0; j --) {
if (sortlist[j] < sortlist[j - 1]) {
// Swap values
tmp = sortlist[j - 1];
sortlist[j - 1] = sortlist[j];
sortlist[j] = tmp;
} else {
break;
}
}
}
// Even number MBs so estimate median as mean of two either side.
median = (1 + sortlist[cpi->common.MBs >> 1] +
sortlist[(cpi->common.MBs >> 1) + 1]) >> 1;
cpi->activity_avg = median;
vpx_free(sortlist);
}
#else
// Simple mean for now
cpi->activity_avg = (unsigned int) (activity_sum / cpi->common.MBs);
#endif // ACT_MEDIAN
if (cpi->activity_avg < ACTIVITY_AVG_MIN)
cpi->activity_avg = ACTIVITY_AVG_MIN;
// Experimental code: return fixed value normalized for several clips
if (ALT_ACT_MEASURE)
cpi->activity_avg = 100000;
}
#define USE_ACT_INDEX 0
#define OUTPUT_NORM_ACT_STATS 0
#if USE_ACT_INDEX
// Calculate an activity index for each mb
static void calc_activity_index(VP9_COMP *cpi, MACROBLOCK *x) {
VP9_COMMON *const cm = &cpi->common;
int mb_row, mb_col;
int64_t act;
int64_t a;
int64_t b;
#if OUTPUT_NORM_ACT_STATS
FILE *f = fopen("norm_act.stt", "a");
fprintf(f, "\n%12d\n", cpi->activity_avg);
#endif
// Reset pointers to start of activity map
x->mb_activity_ptr = cpi->mb_activity_map;
// Calculate normalized mb activity number.
for (mb_row = 0; mb_row < cm->mb_rows; mb_row++) {
// for each macroblock col in image
for (mb_col = 0; mb_col < cm->mb_cols; mb_col++) {
// Read activity from the map
act = *(x->mb_activity_ptr);
// Calculate a normalized activity number
a = act + 4 * cpi->activity_avg;
b = 4 * act + cpi->activity_avg;
if (b >= a)
*(x->activity_ptr) = (int)((b + (a >> 1)) / a) - 1;
else
*(x->activity_ptr) = 1 - (int)((a + (b >> 1)) / b);
#if OUTPUT_NORM_ACT_STATS
fprintf(f, " %6d", *(x->mb_activity_ptr));
#endif
// Increment activity map pointers
x->mb_activity_ptr++;
}
#if OUTPUT_NORM_ACT_STATS
fprintf(f, "\n");
#endif
}
#if OUTPUT_NORM_ACT_STATS
fclose(f);
#endif
}
#endif // USE_ACT_INDEX
// Loop through all MBs. Note activity of each, average activity and
// calculate a normalized activity for each
static void build_activity_map(VP9_COMP *cpi) {
MACROBLOCK * const x = &cpi->mb;
MACROBLOCKD *xd = &x->e_mbd;
VP9_COMMON * const cm = &cpi->common;
#if ALT_ACT_MEASURE
YV12_BUFFER_CONFIG *new_yv12 = get_frame_new_buffer(cm);
int recon_yoffset;
int recon_y_stride = new_yv12->y_stride;
#endif
int mb_row, mb_col;
unsigned int mb_activity;
int64_t activity_sum = 0;
x->mb_activity_ptr = cpi->mb_activity_map;
// for each macroblock row in image
for (mb_row = 0; mb_row < cm->mb_rows; mb_row++) {
#if ALT_ACT_MEASURE
// reset above block coeffs
xd->up_available = (mb_row != 0);
recon_yoffset = (mb_row * recon_y_stride * 16);
#endif
// for each macroblock col in image
for (mb_col = 0; mb_col < cm->mb_cols; mb_col++) {
#if ALT_ACT_MEASURE
xd->plane[0].dst.buf = new_yv12->y_buffer + recon_yoffset;
xd->left_available = (mb_col != 0);
recon_yoffset += 16;
#endif
// measure activity
mb_activity = mb_activity_measure(x, mb_row, mb_col);
// Keep frame sum
activity_sum += mb_activity;
// Store MB level activity details.
*x->mb_activity_ptr = mb_activity;
// Increment activity map pointer
x->mb_activity_ptr++;
// adjust to the next column of source macroblocks
x->plane[0].src.buf += 16;
}
// adjust to the next row of mbs
x->plane[0].src.buf += 16 * x->plane[0].src.stride - 16 * cm->mb_cols;
}
// Calculate an "average" MB activity
calc_av_activity(cpi, activity_sum);
#if USE_ACT_INDEX
// Calculate an activity index number of each mb
calc_activity_index(cpi, x);
#endif
}
// Macroblock activity masking
void vp9_activity_masking(VP9_COMP *cpi, MACROBLOCK *x) {
#if USE_ACT_INDEX
x->rdmult += *(x->mb_activity_ptr) * (x->rdmult >> 2);
x->errorperbit = x->rdmult * 100 / (110 * x->rddiv);
x->errorperbit += (x->errorperbit == 0);
#else
int64_t a;
int64_t b;
int64_t act = *(x->mb_activity_ptr);
// Apply the masking to the RD multiplier.
a = act + (2 * cpi->activity_avg);
b = (2 * act) + cpi->activity_avg;
x->rdmult = (unsigned int) (((int64_t) x->rdmult * b + (a >> 1)) / a);
x->errorperbit = x->rdmult * 100 / (110 * x->rddiv);
x->errorperbit += (x->errorperbit == 0);
#endif
// Activity based Zbin adjustment
adjust_act_zbin(cpi, x);
}
2010-05-18 17:58:33 +02:00
static void update_state(VP9_COMP *cpi, PICK_MODE_CONTEXT *ctx,
BLOCK_SIZE bsize, int output_enabled) {
int i, x_idx, y;
VP9_COMMON *const cm = &cpi->common;
MACROBLOCK *const x = &cpi->mb;
MACROBLOCKD *const xd = &x->e_mbd;
struct macroblock_plane *const p = x->plane;
struct macroblockd_plane *const pd = xd->plane;
MODE_INFO *mi = &ctx->mic;
MB_MODE_INFO *const mbmi = &xd->mi_8x8[0]->mbmi;
MODE_INFO *mi_addr = xd->mi_8x8[0];
int mb_mode_index = ctx->best_mode_index;
const int mis = cm->mode_info_stride;
const int mi_width = num_8x8_blocks_wide_lookup[bsize];
const int mi_height = num_8x8_blocks_high_lookup[bsize];
int max_plane;
assert(mi->mbmi.mode < MB_MODE_COUNT);
assert(mi->mbmi.ref_frame[0] < MAX_REF_FRAMES);
assert(mi->mbmi.ref_frame[1] < MAX_REF_FRAMES);
assert(mi->mbmi.sb_type == bsize);
*mi_addr = *mi;
max_plane = is_inter_block(mbmi) ? MAX_MB_PLANE : 1;
for (i = 0; i < max_plane; ++i) {
p[i].coeff = ctx->coeff_pbuf[i][1];
pd[i].qcoeff = ctx->qcoeff_pbuf[i][1];
pd[i].dqcoeff = ctx->dqcoeff_pbuf[i][1];
pd[i].eobs = ctx->eobs_pbuf[i][1];
}
for (i = max_plane; i < MAX_MB_PLANE; ++i) {
p[i].coeff = ctx->coeff_pbuf[i][2];
pd[i].qcoeff = ctx->qcoeff_pbuf[i][2];
pd[i].dqcoeff = ctx->dqcoeff_pbuf[i][2];
pd[i].eobs = ctx->eobs_pbuf[i][2];
}
// Restore the coding context of the MB to that that was in place
// when the mode was picked for it
for (y = 0; y < mi_height; y++)
for (x_idx = 0; x_idx < mi_width; x_idx++)
if ((xd->mb_to_right_edge >> (3 + MI_SIZE_LOG2)) + mi_width > x_idx
&& (xd->mb_to_bottom_edge >> (3 + MI_SIZE_LOG2)) + mi_height > y)
xd->mi_8x8[x_idx + y * mis] = mi_addr;
if (cpi->sf.variance_adaptive_quantization) {
vp9_mb_init_quantizer(cpi, x);
}
// FIXME(rbultje) I'm pretty sure this should go to the end of this block
// (i.e. after the output_enabled)
if (bsize < BLOCK_32X32) {
if (bsize < BLOCK_16X16)
ctx->tx_rd_diff[ALLOW_16X16] = ctx->tx_rd_diff[ALLOW_8X8];
ctx->tx_rd_diff[ALLOW_32X32] = ctx->tx_rd_diff[ALLOW_16X16];
}
if (is_inter_block(mbmi) && mbmi->sb_type < BLOCK_8X8) {
mbmi->mv[0].as_int = mi->bmi[3].as_mv[0].as_int;
mbmi->mv[1].as_int = mi->bmi[3].as_mv[1].as_int;
}
x->skip = ctx->skip;
vpx_memcpy(x->zcoeff_blk[mbmi->tx_size], ctx->zcoeff_blk,
sizeof(uint8_t) * ctx->num_4x4_blk);
if (!output_enabled)
return;
if (!vp9_segfeature_active(&cm->seg, mbmi->segment_id, SEG_LVL_SKIP)) {
for (i = 0; i < TX_MODES; i++)
cpi->rd_tx_select_diff[i] += ctx->tx_rd_diff[i];
}
if (frame_is_intra_only(cm)) {
#if CONFIG_INTERNAL_STATS
static const int kf_mode_index[] = {
THR_DC /*DC_PRED*/,
THR_V_PRED /*V_PRED*/,
THR_H_PRED /*H_PRED*/,
THR_D45_PRED /*D45_PRED*/,
THR_D135_PRED /*D135_PRED*/,
THR_D117_PRED /*D117_PRED*/,
THR_D153_PRED /*D153_PRED*/,
THR_D207_PRED /*D207_PRED*/,
THR_D63_PRED /*D63_PRED*/,
THR_TM /*TM_PRED*/,
};
cpi->mode_chosen_counts[kf_mode_index[mi->mbmi.mode]]++;
#endif
} else {
// Note how often each mode chosen as best
cpi->mode_chosen_counts[mb_mode_index]++;
if (is_inter_block(mbmi)
&& (mbmi->sb_type < BLOCK_8X8 || mbmi->mode == NEWMV)) {
int_mv best_mv[2];
const MV_REFERENCE_FRAME rf1 = mbmi->ref_frame[0];
const MV_REFERENCE_FRAME rf2 = mbmi->ref_frame[1];
best_mv[0].as_int = ctx->best_ref_mv.as_int;
best_mv[1].as_int = ctx->second_best_ref_mv.as_int;
if (mbmi->mode == NEWMV) {
best_mv[0].as_int = mbmi->ref_mvs[rf1][0].as_int;
if (rf2 > 0)
best_mv[1].as_int = mbmi->ref_mvs[rf2][0].as_int;
}
mbmi->best_mv[0].as_int = best_mv[0].as_int;
mbmi->best_mv[1].as_int = best_mv[1].as_int;
vp9_update_mv_count(cpi, x, best_mv);
}
if (cm->mcomp_filter_type == SWITCHABLE && is_inter_mode(mbmi->mode)) {
const int ctx = vp9_get_pred_context_switchable_interp(xd);
++cm->counts.switchable_interp[ctx][mbmi->interp_filter];
}
cpi->rd_comp_pred_diff[SINGLE_PREDICTION_ONLY] += ctx->single_pred_diff;
cpi->rd_comp_pred_diff[COMP_PREDICTION_ONLY] += ctx->comp_pred_diff;
cpi->rd_comp_pred_diff[HYBRID_PREDICTION] += ctx->hybrid_pred_diff;
for (i = 0; i < SWITCHABLE_FILTER_CONTEXTS; i++)
cpi->rd_filter_diff[i] += ctx->best_filter_diff[i];
}
}
void vp9_setup_src_planes(MACROBLOCK *x, const YV12_BUFFER_CONFIG *src,
int mi_row, int mi_col) {
uint8_t *const buffers[4] = {src->y_buffer, src->u_buffer, src->v_buffer,
src->alpha_buffer};
const int strides[4] = {src->y_stride, src->uv_stride, src->uv_stride,
src->alpha_stride};
int i;
for (i = 0; i < MAX_MB_PLANE; i++)
setup_pred_plane(&x->plane[i].src, buffers[i], strides[i], mi_row, mi_col,
NULL, x->e_mbd.plane[i].subsampling_x,
x->e_mbd.plane[i].subsampling_y);
}
static void set_offsets(VP9_COMP *cpi, const TileInfo *const tile,
int mi_row, int mi_col, BLOCK_SIZE bsize) {
MACROBLOCK *const x = &cpi->mb;
VP9_COMMON *const cm = &cpi->common;
MACROBLOCKD *const xd = &x->e_mbd;
MB_MODE_INFO *mbmi;
const int dst_fb_idx = cm->new_fb_idx;
const int idx_str = xd->mode_info_stride * mi_row + mi_col;
const int mi_width = num_8x8_blocks_wide_lookup[bsize];
const int mi_height = num_8x8_blocks_high_lookup[bsize];
const int mb_row = mi_row >> 1;
const int mb_col = mi_col >> 1;
const int idx_map = mb_row * cm->mb_cols + mb_col;
const struct segmentation *const seg = &cm->seg;
set_skip_context(xd, cpi->above_context, cpi->left_context, mi_row, mi_col);
// Activity map pointer
x->mb_activity_ptr = &cpi->mb_activity_map[idx_map];
x->active_ptr = cpi->active_map + idx_map;
xd->mi_8x8 = cm->mi_grid_visible + idx_str;
xd->prev_mi_8x8 = cm->prev_mi_grid_visible + idx_str;
// Special case: if prev_mi is NULL, the previous mode info context
// cannot be used.
xd->last_mi = cm->prev_mi ? xd->prev_mi_8x8[0] : NULL;
xd->mi_8x8[0] = cm->mi + idx_str;
mbmi = &xd->mi_8x8[0]->mbmi;
// Set up destination pointers
setup_dst_planes(xd, &cm->yv12_fb[dst_fb_idx], mi_row, mi_col);
// Set up limit values for MV components
// mv beyond the range do not produce new/different prediction block
x->mv_row_min = -(((mi_row + mi_height) * MI_SIZE) + VP9_INTERP_EXTEND);
x->mv_col_min = -(((mi_col + mi_width) * MI_SIZE) + VP9_INTERP_EXTEND);
x->mv_row_max = (cm->mi_rows - mi_row) * MI_SIZE + VP9_INTERP_EXTEND;
x->mv_col_max = (cm->mi_cols - mi_col) * MI_SIZE + VP9_INTERP_EXTEND;
// Set up distance of MB to edge of frame in 1/8th pel units
assert(!(mi_col & (mi_width - 1)) && !(mi_row & (mi_height - 1)));
set_mi_row_col(xd, tile, mi_row, mi_height, mi_col, mi_width,
cm->mi_rows, cm->mi_cols);
/* set up source buffers */
vp9_setup_src_planes(x, cpi->Source, mi_row, mi_col);
/* R/D setup */
x->rddiv = cpi->RDDIV;
x->rdmult = cpi->RDMULT;
/* segment ID */
if (seg->enabled) {
if (!cpi->sf.variance_adaptive_quantization) {
uint8_t *map = seg->update_map ? cpi->segmentation_map
: cm->last_frame_seg_map;
mbmi->segment_id = vp9_get_segment_id(cm, map, bsize, mi_row, mi_col);
}
vp9_mb_init_quantizer(cpi, x);
if (seg->enabled && cpi->seg0_cnt > 0
&& !vp9_segfeature_active(seg, 0, SEG_LVL_REF_FRAME)
&& vp9_segfeature_active(seg, 1, SEG_LVL_REF_FRAME)) {
cpi->seg0_progress = (cpi->seg0_idx << 16) / cpi->seg0_cnt;
} else {
const int y = mb_row & ~3;
const int x = mb_col & ~3;
const int p16 = ((mb_row & 1) << 1) + (mb_col & 1);
const int p32 = ((mb_row & 2) << 2) + ((mb_col & 2) << 1);
const int tile_progress = tile->mi_col_start * cm->mb_rows >> 1;
const int mb_cols = (tile->mi_col_end - tile->mi_col_start) >> 1;
cpi->seg0_progress = ((y * mb_cols + x * 4 + p32 + p16 + tile_progress)
<< 16) / cm->MBs;
}
x->encode_breakout = cpi->segment_encode_breakout[mbmi->segment_id];
} else {
mbmi->segment_id = 0;
x->encode_breakout = cpi->oxcf.encode_breakout;
}
}
static void pick_sb_modes(VP9_COMP *cpi, const TileInfo *const tile,
int mi_row, int mi_col,
int *totalrate, int64_t *totaldist,
BLOCK_SIZE bsize, PICK_MODE_CONTEXT *ctx,
int64_t best_rd) {
VP9_COMMON *const cm = &cpi->common;
MACROBLOCK *const x = &cpi->mb;
MACROBLOCKD *const xd = &x->e_mbd;
struct macroblock_plane *const p = x->plane;
struct macroblockd_plane *const pd = xd->plane;
int i;
int orig_rdmult = x->rdmult;
double rdmult_ratio;
vp9_clear_system_state(); // __asm emms;
rdmult_ratio = 1.0; // avoid uninitialized warnings
// Use the lower precision, but faster, 32x32 fdct for mode selection.
x->use_lp32x32fdct = 1;
if (bsize < BLOCK_8X8) {
// When ab_index = 0 all sub-blocks are handled, so for ab_index != 0
// there is nothing to be done.
if (x->ab_index != 0) {
*totalrate = 0;
*totaldist = 0;
return;
}
}
set_offsets(cpi, tile, mi_row, mi_col, bsize);
xd->mi_8x8[0]->mbmi.sb_type = bsize;
for (i = 0; i < MAX_MB_PLANE; ++i) {
p[i].coeff = ctx->coeff_pbuf[i][0];
pd[i].qcoeff = ctx->qcoeff_pbuf[i][0];
pd[i].dqcoeff = ctx->dqcoeff_pbuf[i][0];
pd[i].eobs = ctx->eobs_pbuf[i][0];
}
ctx->is_coded = 0;
x->skip_recode = 0;
// Set to zero to make sure we do not use the previous encoded frame stats
xd->mi_8x8[0]->mbmi.skip_coeff = 0;
x->source_variance = get_sby_perpixel_variance(cpi, x, bsize);
if (cpi->sf.variance_adaptive_quantization) {
int energy;
if (bsize <= BLOCK_16X16) {
energy = x->mb_energy;
} else {
energy = vp9_block_energy(cpi, x, bsize);
}
xd->mi_8x8[0]->mbmi.segment_id = vp9_vaq_segment_id(energy);
rdmult_ratio = vp9_vaq_rdmult_ratio(energy);
vp9_mb_init_quantizer(cpi, x);
}
if (cpi->oxcf.tuning == VP8_TUNE_SSIM)
vp9_activity_masking(cpi, x);
if (cpi->sf.variance_adaptive_quantization) {
vp9_clear_system_state(); // __asm emms;
x->rdmult = round(x->rdmult * rdmult_ratio);
}
// Find best coding mode & reconstruct the MB so it is available
// as a predictor for MBs that follow in the SB
if (frame_is_intra_only(cm)) {
vp9_rd_pick_intra_mode_sb(cpi, x, totalrate, totaldist, bsize, ctx,
best_rd);
} else {
if (bsize >= BLOCK_8X8)
vp9_rd_pick_inter_mode_sb(cpi, x, tile, mi_row, mi_col,
totalrate, totaldist, bsize, ctx, best_rd);
else
vp9_rd_pick_inter_mode_sub8x8(cpi, x, tile, mi_row, mi_col, totalrate,
totaldist, bsize, ctx, best_rd);
}
if (cpi->sf.variance_adaptive_quantization) {
x->rdmult = orig_rdmult;
if (*totalrate != INT_MAX) {
vp9_clear_system_state(); // __asm emms;
*totalrate = round(*totalrate * rdmult_ratio);
}
}
}
static void update_stats(VP9_COMP *cpi) {
VP9_COMMON *const cm = &cpi->common;
MACROBLOCK *const x = &cpi->mb;
MACROBLOCKD *const xd = &x->e_mbd;
MODE_INFO *mi = xd->mi_8x8[0];
MB_MODE_INFO *const mbmi = &mi->mbmi;
if (!frame_is_intra_only(cm)) {
const int seg_ref_active = vp9_segfeature_active(&cm->seg, mbmi->segment_id,
SEG_LVL_REF_FRAME);
if (!seg_ref_active)
cpi->intra_inter_count[vp9_get_pred_context_intra_inter(xd)]
[is_inter_block(mbmi)]++;
// If the segment reference feature is enabled we have only a single
// reference frame allowed for the segment so exclude it from
// the reference frame counts used to work out probabilities.
if (is_inter_block(mbmi) && !seg_ref_active) {
if (cm->comp_pred_mode == HYBRID_PREDICTION)
cpi->comp_inter_count[vp9_get_pred_context_comp_inter_inter(cm, xd)]
[has_second_ref(mbmi)]++;
if (has_second_ref(mbmi)) {
cpi->comp_ref_count[vp9_get_pred_context_comp_ref_p(cm, xd)]
[mbmi->ref_frame[0] == GOLDEN_FRAME]++;
} else {
cpi->single_ref_count[vp9_get_pred_context_single_ref_p1(xd)][0]
[mbmi->ref_frame[0] != LAST_FRAME]++;
if (mbmi->ref_frame[0] != LAST_FRAME)
cpi->single_ref_count[vp9_get_pred_context_single_ref_p2(xd)][1]
[mbmi->ref_frame[0] != GOLDEN_FRAME]++;
}
}
}
}
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static BLOCK_SIZE *get_sb_partitioning(MACROBLOCK *x, BLOCK_SIZE bsize) {
switch (bsize) {
case BLOCK_64X64:
return &x->sb64_partitioning;
case BLOCK_32X32:
return &x->sb_partitioning[x->sb_index];
case BLOCK_16X16:
return &x->mb_partitioning[x->sb_index][x->mb_index];
case BLOCK_8X8:
return &x->b_partitioning[x->sb_index][x->mb_index][x->b_index];
default:
assert(0);
return NULL;
}
}
static void restore_context(VP9_COMP *cpi, int mi_row, int mi_col,
ENTROPY_CONTEXT a[16 * MAX_MB_PLANE],
ENTROPY_CONTEXT l[16 * MAX_MB_PLANE],
PARTITION_CONTEXT sa[8], PARTITION_CONTEXT sl[8],
BLOCK_SIZE bsize) {
MACROBLOCK *const x = &cpi->mb;
MACROBLOCKD *const xd = &x->e_mbd;
int p;
const int num_4x4_blocks_wide = num_4x4_blocks_wide_lookup[bsize];
const int num_4x4_blocks_high = num_4x4_blocks_high_lookup[bsize];
int mi_width = num_8x8_blocks_wide_lookup[bsize];
int mi_height = num_8x8_blocks_high_lookup[bsize];
for (p = 0; p < MAX_MB_PLANE; p++) {
vpx_memcpy(
cpi->above_context[p] + ((mi_col * 2) >> xd->plane[p].subsampling_x),
a + num_4x4_blocks_wide * p,
(sizeof(ENTROPY_CONTEXT) * num_4x4_blocks_wide) >>
xd->plane[p].subsampling_x);
vpx_memcpy(
cpi->left_context[p]
+ ((mi_row & MI_MASK) * 2 >> xd->plane[p].subsampling_y),
l + num_4x4_blocks_high * p,
(sizeof(ENTROPY_CONTEXT) * num_4x4_blocks_high) >>
xd->plane[p].subsampling_y);
}
vpx_memcpy(cpi->above_seg_context + mi_col, sa,
sizeof(*cpi->above_seg_context) * mi_width);
vpx_memcpy(cpi->left_seg_context + (mi_row & MI_MASK), sl,
sizeof(cpi->left_seg_context[0]) * mi_height);
}
static void save_context(VP9_COMP *cpi, int mi_row, int mi_col,
ENTROPY_CONTEXT a[16 * MAX_MB_PLANE],
ENTROPY_CONTEXT l[16 * MAX_MB_PLANE],
PARTITION_CONTEXT sa[8], PARTITION_CONTEXT sl[8],
BLOCK_SIZE bsize) {
const MACROBLOCK *const x = &cpi->mb;
const MACROBLOCKD *const xd = &x->e_mbd;
int p;
const int num_4x4_blocks_wide = num_4x4_blocks_wide_lookup[bsize];
const int num_4x4_blocks_high = num_4x4_blocks_high_lookup[bsize];
int mi_width = num_8x8_blocks_wide_lookup[bsize];
int mi_height = num_8x8_blocks_high_lookup[bsize];
// buffer the above/left context information of the block in search.
for (p = 0; p < MAX_MB_PLANE; ++p) {
vpx_memcpy(
a + num_4x4_blocks_wide * p,
cpi->above_context[p] + (mi_col * 2 >> xd->plane[p].subsampling_x),
(sizeof(ENTROPY_CONTEXT) * num_4x4_blocks_wide) >>
xd->plane[p].subsampling_x);
vpx_memcpy(
l + num_4x4_blocks_high * p,
cpi->left_context[p]
+ ((mi_row & MI_MASK) * 2 >> xd->plane[p].subsampling_y),
(sizeof(ENTROPY_CONTEXT) * num_4x4_blocks_high) >>
xd->plane[p].subsampling_y);
}
vpx_memcpy(sa, cpi->above_seg_context + mi_col,
sizeof(*cpi->above_seg_context) * mi_width);
vpx_memcpy(sl, cpi->left_seg_context + (mi_row & MI_MASK),
sizeof(cpi->left_seg_context[0]) * mi_height);
}
static void encode_b(VP9_COMP *cpi, const TileInfo *const tile,
TOKENEXTRA **tp, int mi_row, int mi_col,
int output_enabled, BLOCK_SIZE bsize, int sub_index) {
VP9_COMMON *const cm = &cpi->common;
MACROBLOCK *const x = &cpi->mb;
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if (mi_row >= cm->mi_rows || mi_col >= cm->mi_cols)
return;
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if (sub_index != -1)
*get_sb_index(x, bsize) = sub_index;
if (bsize < BLOCK_8X8) {
// When ab_index = 0 all sub-blocks are handled, so for ab_index != 0
// there is nothing to be done.
if (x->ab_index > 0)
return;
}
set_offsets(cpi, tile, mi_row, mi_col, bsize);
update_state(cpi, get_block_context(x, bsize), bsize, output_enabled);
encode_superblock(cpi, tp, output_enabled, mi_row, mi_col, bsize);
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if (output_enabled) {
update_stats(cpi);
(*tp)->token = EOSB_TOKEN;
(*tp)++;
}
}
static void encode_sb(VP9_COMP *cpi, const TileInfo *const tile,
TOKENEXTRA **tp, int mi_row, int mi_col,
int output_enabled, BLOCK_SIZE bsize) {
VP9_COMMON *const cm = &cpi->common;
MACROBLOCK *const x = &cpi->mb;
BLOCK_SIZE c1 = BLOCK_8X8;
const int bsl = b_width_log2(bsize), bs = (1 << bsl) / 4;
int pl = 0;
PARTITION_TYPE partition;
BLOCK_SIZE subsize;
int i;
if (mi_row >= cm->mi_rows || mi_col >= cm->mi_cols)
return;
c1 = BLOCK_4X4;
if (bsize >= BLOCK_8X8) {
pl = partition_plane_context(cpi->above_seg_context, cpi->left_seg_context,
mi_row, mi_col, bsize);
c1 = *(get_sb_partitioning(x, bsize));
}
partition = partition_lookup[bsl][c1];
switch (partition) {
case PARTITION_NONE:
if (output_enabled && bsize >= BLOCK_8X8)
cpi->partition_count[pl][PARTITION_NONE]++;
encode_b(cpi, tile, tp, mi_row, mi_col, output_enabled, c1, -1);
break;
case PARTITION_VERT:
if (output_enabled)
cpi->partition_count[pl][PARTITION_VERT]++;
encode_b(cpi, tile, tp, mi_row, mi_col, output_enabled, c1, 0);
encode_b(cpi, tile, tp, mi_row, mi_col + bs, output_enabled, c1, 1);
break;
case PARTITION_HORZ:
if (output_enabled)
cpi->partition_count[pl][PARTITION_HORZ]++;
encode_b(cpi, tile, tp, mi_row, mi_col, output_enabled, c1, 0);
encode_b(cpi, tile, tp, mi_row + bs, mi_col, output_enabled, c1, 1);
break;
case PARTITION_SPLIT:
subsize = get_subsize(bsize, PARTITION_SPLIT);
if (output_enabled)
cpi->partition_count[pl][PARTITION_SPLIT]++;
for (i = 0; i < 4; i++) {
const int x_idx = i & 1, y_idx = i >> 1;
*get_sb_index(x, subsize) = i;
encode_sb(cpi, tile, tp, mi_row + y_idx * bs, mi_col + x_idx * bs,
output_enabled, subsize);
}
break;
default:
assert(0);
break;
}
if (partition != PARTITION_SPLIT || bsize == BLOCK_8X8)
update_partition_context(cpi->above_seg_context, cpi->left_seg_context,
mi_row, mi_col, c1, bsize);
}
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// Check to see if the given partition size is allowed for a specified number
// of 8x8 block rows and columns remaining in the image.
// If not then return the largest allowed partition size
static BLOCK_SIZE find_partition_size(BLOCK_SIZE bsize,
int rows_left, int cols_left,
int *bh, int *bw) {
if ((rows_left <= 0) || (cols_left <= 0)) {
return MIN(bsize, BLOCK_8X8);
} else {
for (; bsize > 0; --bsize) {
*bh = num_8x8_blocks_high_lookup[bsize];
*bw = num_8x8_blocks_wide_lookup[bsize];
if ((*bh <= rows_left) && (*bw <= cols_left)) {
break;
}
}
}
return bsize;
}
// This function attempts to set all mode info entries in a given SB64
// to the same block partition size.
// However, at the bottom and right borders of the image the requested size
// may not be allowed in which case this code attempts to choose the largest
// allowable partition.
static void set_partitioning(VP9_COMP *cpi, const TileInfo *const tile,
MODE_INFO **mi_8x8, int mi_row, int mi_col) {
VP9_COMMON *const cm = &cpi->common;
BLOCK_SIZE bsize = cpi->sf.always_this_block_size;
const int mis = cm->mode_info_stride;
int row8x8_remaining = tile->mi_row_end - mi_row;
int col8x8_remaining = tile->mi_col_end - mi_col;
int block_row, block_col;
MODE_INFO * mi_upper_left = cm->mi + mi_row * mis + mi_col;
int bh = num_8x8_blocks_high_lookup[bsize];
int bw = num_8x8_blocks_wide_lookup[bsize];
assert((row8x8_remaining > 0) && (col8x8_remaining > 0));
// Apply the requested partition size to the SB64 if it is all "in image"
if ((col8x8_remaining >= MI_BLOCK_SIZE) &&
(row8x8_remaining >= MI_BLOCK_SIZE)) {
for (block_row = 0; block_row < MI_BLOCK_SIZE; block_row += bh) {
for (block_col = 0; block_col < MI_BLOCK_SIZE; block_col += bw) {
int index = block_row * mis + block_col;
mi_8x8[index] = mi_upper_left + index;
mi_8x8[index]->mbmi.sb_type = bsize;
}
}
} else {
// Else this is a partial SB64.
for (block_row = 0; block_row < MI_BLOCK_SIZE; block_row += bh) {
for (block_col = 0; block_col < MI_BLOCK_SIZE; block_col += bw) {
int index = block_row * mis + block_col;
// Find a partition size that fits
bsize = find_partition_size(cpi->sf.always_this_block_size,
(row8x8_remaining - block_row),
(col8x8_remaining - block_col), &bh, &bw);
mi_8x8[index] = mi_upper_left + index;
mi_8x8[index]->mbmi.sb_type = bsize;
}
}
}
}
static void copy_partitioning(VP9_COMP *cpi, MODE_INFO **mi_8x8,
MODE_INFO **prev_mi_8x8) {
VP9_COMMON *const cm = &cpi->common;
const int mis = cm->mode_info_stride;
int block_row, block_col;
for (block_row = 0; block_row < 8; ++block_row) {
for (block_col = 0; block_col < 8; ++block_col) {
MODE_INFO * prev_mi = prev_mi_8x8[block_row * mis + block_col];
BLOCK_SIZE sb_type = prev_mi ? prev_mi->mbmi.sb_type : 0;
ptrdiff_t offset;
if (prev_mi) {
offset = prev_mi - cm->prev_mi;
mi_8x8[block_row * mis + block_col] = cm->mi + offset;
mi_8x8[block_row * mis + block_col]->mbmi.sb_type = sb_type;
}
}
}
}
static int sb_has_motion(VP9_COMP *cpi, MODE_INFO **prev_mi_8x8) {
VP9_COMMON *const cm = &cpi->common;
const int mis = cm->mode_info_stride;
int block_row, block_col;
if (cm->prev_mi) {
for (block_row = 0; block_row < 8; ++block_row) {
for (block_col = 0; block_col < 8; ++block_col) {
MODE_INFO * prev_mi = prev_mi_8x8[block_row * mis + block_col];
if (prev_mi) {
if (abs(prev_mi->mbmi.mv[0].as_mv.row) >= 8 ||
abs(prev_mi->mbmi.mv[0].as_mv.col) >= 8)
return 1;
}
}
}
}
return 0;
}
static void rd_use_partition(VP9_COMP *cpi,
const TileInfo *const tile,
MODE_INFO **mi_8x8,
TOKENEXTRA **tp, int mi_row, int mi_col,
BLOCK_SIZE bsize, int *rate, int64_t *dist,
int do_recon) {
VP9_COMMON *const cm = &cpi->common;
MACROBLOCK *const x = &cpi->mb;
const int mis = cm->mode_info_stride;
int bsl = b_width_log2(bsize);
const int num_4x4_blocks_wide = num_4x4_blocks_wide_lookup[bsize];
const int num_4x4_blocks_high = num_4x4_blocks_high_lookup[bsize];
int ms = num_4x4_blocks_wide / 2;
int mh = num_4x4_blocks_high / 2;
int bss = (1 << bsl) / 4;
int i, pl;
PARTITION_TYPE partition = PARTITION_NONE;
BLOCK_SIZE subsize;
ENTROPY_CONTEXT l[16 * MAX_MB_PLANE], a[16 * MAX_MB_PLANE];
PARTITION_CONTEXT sl[8], sa[8];
int last_part_rate = INT_MAX;
int64_t last_part_dist = INT_MAX;
int split_rate = INT_MAX;
int64_t split_dist = INT_MAX;
int none_rate = INT_MAX;
int64_t none_dist = INT_MAX;
int chosen_rate = INT_MAX;
int64_t chosen_dist = INT_MAX;
BLOCK_SIZE sub_subsize = BLOCK_4X4;
int splits_below = 0;
BLOCK_SIZE bs_type = mi_8x8[0]->mbmi.sb_type;
if (mi_row >= cm->mi_rows || mi_col >= cm->mi_cols)
return;
partition = partition_lookup[bsl][bs_type];
subsize = get_subsize(bsize, partition);
if (bsize < BLOCK_8X8) {
// When ab_index = 0 all sub-blocks are handled, so for ab_index != 0
// there is nothing to be done.
if (x->ab_index != 0) {
*rate = 0;
*dist = 0;
return;
}
} else {
*(get_sb_partitioning(x, bsize)) = subsize;
}
save_context(cpi, mi_row, mi_col, a, l, sa, sl, bsize);
if (bsize == BLOCK_16X16) {
set_offsets(cpi, tile, mi_row, mi_col, bsize);
x->mb_energy = vp9_block_energy(cpi, x, bsize);
}
x->fast_ms = 0;
x->subblock_ref = 0;
if (cpi->sf.adjust_partitioning_from_last_frame) {
// Check if any of the sub blocks are further split.
if (partition == PARTITION_SPLIT && subsize > BLOCK_8X8) {
sub_subsize = get_subsize(subsize, PARTITION_SPLIT);
splits_below = 1;
for (i = 0; i < 4; i++) {
int jj = i >> 1, ii = i & 0x01;
MODE_INFO * this_mi = mi_8x8[jj * bss * mis + ii * bss];
if (this_mi && this_mi->mbmi.sb_type >= sub_subsize) {
splits_below = 0;
}
}
}
// If partition is not none try none unless each of the 4 splits are split
// even further..
if (partition != PARTITION_NONE && !splits_below &&
mi_row + (ms >> 1) < cm->mi_rows &&
mi_col + (ms >> 1) < cm->mi_cols) {
*(get_sb_partitioning(x, bsize)) = bsize;
pick_sb_modes(cpi, tile, mi_row, mi_col, &none_rate, &none_dist, bsize,
get_block_context(x, bsize), INT64_MAX);
pl = partition_plane_context(cpi->above_seg_context,
cpi->left_seg_context,
mi_row, mi_col, bsize);
none_rate += x->partition_cost[pl][PARTITION_NONE];
restore_context(cpi, mi_row, mi_col, a, l, sa, sl, bsize);
mi_8x8[0]->mbmi.sb_type = bs_type;
*(get_sb_partitioning(x, bsize)) = subsize;
}
}
switch (partition) {
case PARTITION_NONE:
pick_sb_modes(cpi, tile, mi_row, mi_col, &last_part_rate, &last_part_dist,
bsize, get_block_context(x, bsize), INT64_MAX);
break;
case PARTITION_HORZ:
*get_sb_index(x, subsize) = 0;
pick_sb_modes(cpi, tile, mi_row, mi_col, &last_part_rate, &last_part_dist,
subsize, get_block_context(x, subsize), INT64_MAX);
if (last_part_rate != INT_MAX &&
bsize >= BLOCK_8X8 && mi_row + (mh >> 1) < cm->mi_rows) {
int rt = 0;
int64_t dt = 0;
update_state(cpi, get_block_context(x, subsize), subsize, 0);
encode_superblock(cpi, tp, 0, mi_row, mi_col, subsize);
*get_sb_index(x, subsize) = 1;
pick_sb_modes(cpi, tile, mi_row + (ms >> 1), mi_col, &rt, &dt, subsize,
get_block_context(x, subsize), INT64_MAX);
if (rt == INT_MAX || dt == INT_MAX) {
last_part_rate = INT_MAX;
last_part_dist = INT_MAX;
break;
}
last_part_rate += rt;
last_part_dist += dt;
}
break;
case PARTITION_VERT:
*get_sb_index(x, subsize) = 0;
pick_sb_modes(cpi, tile, mi_row, mi_col, &last_part_rate, &last_part_dist,
subsize, get_block_context(x, subsize), INT64_MAX);
if (last_part_rate != INT_MAX &&
bsize >= BLOCK_8X8 && mi_col + (ms >> 1) < cm->mi_cols) {
int rt = 0;
int64_t dt = 0;
update_state(cpi, get_block_context(x, subsize), subsize, 0);
encode_superblock(cpi, tp, 0, mi_row, mi_col, subsize);
*get_sb_index(x, subsize) = 1;
pick_sb_modes(cpi, tile, mi_row, mi_col + (ms >> 1), &rt, &dt, subsize,
get_block_context(x, subsize), INT64_MAX);
if (rt == INT_MAX || dt == INT_MAX) {
last_part_rate = INT_MAX;
last_part_dist = INT_MAX;
break;
}
last_part_rate += rt;
last_part_dist += dt;
}
break;
case PARTITION_SPLIT:
// Split partition.
last_part_rate = 0;
last_part_dist = 0;
for (i = 0; i < 4; i++) {
int x_idx = (i & 1) * (ms >> 1);
int y_idx = (i >> 1) * (ms >> 1);
int jj = i >> 1, ii = i & 0x01;
int rt;
int64_t dt;
if ((mi_row + y_idx >= cm->mi_rows) || (mi_col + x_idx >= cm->mi_cols))
continue;
*get_sb_index(x, subsize) = i;
rd_use_partition(cpi, tile, mi_8x8 + jj * bss * mis + ii * bss, tp,
mi_row + y_idx, mi_col + x_idx, subsize, &rt, &dt,
i != 3);
if (rt == INT_MAX || dt == INT_MAX) {
last_part_rate = INT_MAX;
last_part_dist = INT_MAX;
break;
}
last_part_rate += rt;
last_part_dist += dt;
}
break;
default:
assert(0);
}
pl = partition_plane_context(cpi->above_seg_context, cpi->left_seg_context,
mi_row, mi_col, bsize);
if (last_part_rate < INT_MAX)
last_part_rate += x->partition_cost[pl][partition];
if (cpi->sf.adjust_partitioning_from_last_frame
&& partition != PARTITION_SPLIT && bsize > BLOCK_8X8
&& (mi_row + ms < cm->mi_rows || mi_row + (ms >> 1) == cm->mi_rows)
&& (mi_col + ms < cm->mi_cols || mi_col + (ms >> 1) == cm->mi_cols)) {
BLOCK_SIZE split_subsize = get_subsize(bsize, PARTITION_SPLIT);
split_rate = 0;
split_dist = 0;
restore_context(cpi, mi_row, mi_col, a, l, sa, sl, bsize);
// Split partition.
for (i = 0; i < 4; i++) {
int x_idx = (i & 1) * (num_4x4_blocks_wide >> 2);
int y_idx = (i >> 1) * (num_4x4_blocks_wide >> 2);
int rt = 0;
int64_t dt = 0;
ENTROPY_CONTEXT l[16 * MAX_MB_PLANE], a[16 * MAX_MB_PLANE];
PARTITION_CONTEXT sl[8], sa[8];
if ((mi_row + y_idx >= cm->mi_rows) || (mi_col + x_idx >= cm->mi_cols))
continue;
*get_sb_index(x, split_subsize) = i;
*get_sb_partitioning(x, bsize) = split_subsize;
*get_sb_partitioning(x, split_subsize) = split_subsize;
save_context(cpi, mi_row, mi_col, a, l, sa, sl, bsize);
pick_sb_modes(cpi, tile, mi_row + y_idx, mi_col + x_idx, &rt, &dt,
split_subsize, get_block_context(x, split_subsize),
INT64_MAX);
restore_context(cpi, mi_row, mi_col, a, l, sa, sl, bsize);
if (rt == INT_MAX || dt == INT_MAX) {
split_rate = INT_MAX;
split_dist = INT_MAX;
break;
}
if (i != 3)
encode_sb(cpi, tile, tp, mi_row + y_idx, mi_col + x_idx, 0,
split_subsize);
split_rate += rt;
split_dist += dt;
pl = partition_plane_context(cpi->above_seg_context,
cpi->left_seg_context,
mi_row + y_idx, mi_col + x_idx, bsize);
split_rate += x->partition_cost[pl][PARTITION_NONE];
}
pl = partition_plane_context(cpi->above_seg_context, cpi->left_seg_context,
mi_row, mi_col, bsize);
if (split_rate < INT_MAX) {
split_rate += x->partition_cost[pl][PARTITION_SPLIT];
chosen_rate = split_rate;
chosen_dist = split_dist;
}
}
// If last_part is better set the partitioning to that...
if (RDCOST(x->rdmult, x->rddiv, last_part_rate, last_part_dist)
< RDCOST(x->rdmult, x->rddiv, chosen_rate, chosen_dist)) {
mi_8x8[0]->mbmi.sb_type = bsize;
if (bsize >= BLOCK_8X8)
*(get_sb_partitioning(x, bsize)) = subsize;
chosen_rate = last_part_rate;
chosen_dist = last_part_dist;
}
// If none was better set the partitioning to that...
if (RDCOST(x->rdmult, x->rddiv, chosen_rate, chosen_dist)
> RDCOST(x->rdmult, x->rddiv, none_rate, none_dist)) {
if (bsize >= BLOCK_8X8)
*(get_sb_partitioning(x, bsize)) = bsize;
chosen_rate = none_rate;
chosen_dist = none_dist;
}
restore_context(cpi, mi_row, mi_col, a, l, sa, sl, bsize);
// We must have chosen a partitioning and encoding or we'll fail later on.
// No other opportunities for success.
if ( bsize == BLOCK_64X64)
assert(chosen_rate < INT_MAX && chosen_dist < INT_MAX);
if (do_recon)
encode_sb(cpi, tile, tp, mi_row, mi_col, bsize == BLOCK_64X64, bsize);
*rate = chosen_rate;
*dist = chosen_dist;
}
static const BLOCK_SIZE min_partition_size[BLOCK_SIZES] = {
BLOCK_4X4, BLOCK_4X4, BLOCK_4X4, BLOCK_4X4,
BLOCK_4X4, BLOCK_4X4, BLOCK_8X8, BLOCK_8X8,
BLOCK_8X8, BLOCK_16X16, BLOCK_16X16, BLOCK_16X16, BLOCK_16X16
};
static const BLOCK_SIZE max_partition_size[BLOCK_SIZES] = {
BLOCK_8X8, BLOCK_16X16, BLOCK_16X16, BLOCK_16X16,
BLOCK_32X32, BLOCK_32X32, BLOCK_32X32, BLOCK_64X64,
BLOCK_64X64, BLOCK_64X64, BLOCK_64X64, BLOCK_64X64, BLOCK_64X64
};
// Look at all the mode_info entries for blocks that are part of this
// partition and find the min and max values for sb_type.
// At the moment this is designed to work on a 64x64 SB but could be
// adjusted to use a size parameter.
//
// The min and max are assumed to have been initialized prior to calling this
// function so repeat calls can accumulate a min and max of more than one sb64.
static void get_sb_partition_size_range(VP9_COMP *cpi, MODE_INFO ** mi_8x8,
BLOCK_SIZE * min_block_size,
BLOCK_SIZE * max_block_size ) {
MACROBLOCKD *const xd = &cpi->mb.e_mbd;
int sb_width_in_blocks = MI_BLOCK_SIZE;
int sb_height_in_blocks = MI_BLOCK_SIZE;
int i, j;
int index = 0;
// Check the sb_type for each block that belongs to this region.
for (i = 0; i < sb_height_in_blocks; ++i) {
for (j = 0; j < sb_width_in_blocks; ++j) {
MODE_INFO * mi = mi_8x8[index+j];
BLOCK_SIZE sb_type = mi ? mi->mbmi.sb_type : 0;
*min_block_size = MIN(*min_block_size, sb_type);
*max_block_size = MAX(*max_block_size, sb_type);
}
index += xd->mode_info_stride;
}
}
// Look at neighboring blocks and set a min and max partition size based on
// what they chose.
static void rd_auto_partition_range(VP9_COMP *cpi, const TileInfo *const tile,
int row, int col,
BLOCK_SIZE *min_block_size,
BLOCK_SIZE *max_block_size) {
VP9_COMMON * const cm = &cpi->common;
MACROBLOCKD *const xd = &cpi->mb.e_mbd;
MODE_INFO ** mi_8x8 = xd->mi_8x8;
MODE_INFO ** prev_mi_8x8 = xd->prev_mi_8x8;
const int left_in_image = xd->left_available && mi_8x8[-1];
const int above_in_image = xd->up_available &&
mi_8x8[-xd->mode_info_stride];
MODE_INFO ** above_sb64_mi_8x8;
MODE_INFO ** left_sb64_mi_8x8;
int row8x8_remaining = tile->mi_row_end - row;
int col8x8_remaining = tile->mi_col_end - col;
int bh, bw;
// Trap case where we do not have a prediction.
if (!left_in_image && !above_in_image &&
((cm->frame_type == KEY_FRAME) || !cm->prev_mi)) {
*min_block_size = BLOCK_4X4;
*max_block_size = BLOCK_64X64;
} else {
// Default "min to max" and "max to min"
*min_block_size = BLOCK_64X64;
*max_block_size = BLOCK_4X4;
// NOTE: each call to get_sb_partition_size_range() uses the previous
// passed in values for min and max as a starting point.
//
// Find the min and max partition used in previous frame at this location
if (cm->prev_mi && (cm->frame_type != KEY_FRAME)) {
get_sb_partition_size_range(cpi, prev_mi_8x8,
min_block_size, max_block_size);
}
// Find the min and max partition sizes used in the left SB64
if (left_in_image) {
left_sb64_mi_8x8 = &mi_8x8[-MI_BLOCK_SIZE];
get_sb_partition_size_range(cpi, left_sb64_mi_8x8,
min_block_size, max_block_size);
}
// Find the min and max partition sizes used in the above SB64.
if (above_in_image) {
above_sb64_mi_8x8 = &mi_8x8[-xd->mode_info_stride * MI_BLOCK_SIZE];
get_sb_partition_size_range(cpi, above_sb64_mi_8x8,
min_block_size, max_block_size);
}
}
// Give a bit of leaway either side of the observed min and max
*min_block_size = min_partition_size[*min_block_size];
*max_block_size = max_partition_size[*max_block_size];
// Check border cases where max and min from neighbours may not be legal.
*max_block_size = find_partition_size(*max_block_size,
row8x8_remaining, col8x8_remaining,
&bh, &bw);
*min_block_size = MIN(*min_block_size, *max_block_size);
}
static void compute_fast_motion_search_level(VP9_COMP *cpi, BLOCK_SIZE bsize) {
VP9_COMMON *const cm = &cpi->common;
MACROBLOCK *const x = &cpi->mb;
// Only use 8x8 result for non HD videos.
// int use_8x8 = (MIN(cpi->common.width, cpi->common.height) < 720) ? 1 : 0;
int use_8x8 = 1;
if (cm->frame_type && !cpi->is_src_frame_alt_ref &&
((use_8x8 && bsize == BLOCK_16X16) ||
bsize == BLOCK_32X32 || bsize == BLOCK_64X64)) {
int ref0 = 0, ref1 = 0, ref2 = 0, ref3 = 0;
PICK_MODE_CONTEXT *block_context = NULL;
if (bsize == BLOCK_16X16) {
block_context = x->sb8x8_context[x->sb_index][x->mb_index];
} else if (bsize == BLOCK_32X32) {
block_context = x->mb_context[x->sb_index];
} else if (bsize == BLOCK_64X64) {
block_context = x->sb32_context;
}
if (block_context) {
ref0 = block_context[0].mic.mbmi.ref_frame[0];
ref1 = block_context[1].mic.mbmi.ref_frame[0];
ref2 = block_context[2].mic.mbmi.ref_frame[0];
ref3 = block_context[3].mic.mbmi.ref_frame[0];
}
// Currently, only consider 4 inter reference frames.
if (ref0 && ref1 && ref2 && ref3) {
int d01, d23, d02, d13;
// Motion vectors for the four subblocks.
int16_t mvr0 = block_context[0].mic.mbmi.mv[0].as_mv.row;
int16_t mvc0 = block_context[0].mic.mbmi.mv[0].as_mv.col;
int16_t mvr1 = block_context[1].mic.mbmi.mv[0].as_mv.row;
int16_t mvc1 = block_context[1].mic.mbmi.mv[0].as_mv.col;
int16_t mvr2 = block_context[2].mic.mbmi.mv[0].as_mv.row;
int16_t mvc2 = block_context[2].mic.mbmi.mv[0].as_mv.col;
int16_t mvr3 = block_context[3].mic.mbmi.mv[0].as_mv.row;
int16_t mvc3 = block_context[3].mic.mbmi.mv[0].as_mv.col;
// Adjust sign if ref is alt_ref.
if (cm->ref_frame_sign_bias[ref0]) {
mvr0 *= -1;
mvc0 *= -1;
}
if (cm->ref_frame_sign_bias[ref1]) {
mvr1 *= -1;
mvc1 *= -1;
}
if (cm->ref_frame_sign_bias[ref2]) {
mvr2 *= -1;
mvc2 *= -1;
}
if (cm->ref_frame_sign_bias[ref3]) {
mvr3 *= -1;
mvc3 *= -1;
}
// Calculate mv distances.
d01 = MAX(abs(mvr0 - mvr1), abs(mvc0 - mvc1));
d23 = MAX(abs(mvr2 - mvr3), abs(mvc2 - mvc3));
d02 = MAX(abs(mvr0 - mvr2), abs(mvc0 - mvc2));
d13 = MAX(abs(mvr1 - mvr3), abs(mvc1 - mvc3));
if (d01 < FAST_MOTION_MV_THRESH && d23 < FAST_MOTION_MV_THRESH &&
d02 < FAST_MOTION_MV_THRESH && d13 < FAST_MOTION_MV_THRESH) {
// Set fast motion search level.
x->fast_ms = 1;
if (ref0 == ref1 && ref1 == ref2 && ref2 == ref3 &&
d01 < 2 && d23 < 2 && d02 < 2 && d13 < 2) {
// Set fast motion search level.
x->fast_ms = 2;
if (!d01 && !d23 && !d02 && !d13) {
x->fast_ms = 3;
x->subblock_ref = ref0;
}
}
}
}
}
}
static INLINE void store_pred_mv(MACROBLOCK *x, PICK_MODE_CONTEXT *ctx) {
vpx_memcpy(ctx->pred_mv, x->pred_mv, sizeof(x->pred_mv));
}
static INLINE void load_pred_mv(MACROBLOCK *x, PICK_MODE_CONTEXT *ctx) {
vpx_memcpy(x->pred_mv, ctx->pred_mv, sizeof(x->pred_mv));
}
// TODO(jingning,jimbankoski,rbultje): properly skip partition types that are
// unlikely to be selected depending on previous rate-distortion optimization
// results, for encoding speed-up.
static void rd_pick_partition(VP9_COMP *cpi, const TileInfo *const tile,
TOKENEXTRA **tp, int mi_row,
int mi_col, BLOCK_SIZE bsize, int *rate,
int64_t *dist, int do_recon, int64_t best_rd) {
VP9_COMMON *const cm = &cpi->common;
MACROBLOCK *const x = &cpi->mb;
const int ms = num_8x8_blocks_wide_lookup[bsize] / 2;
ENTROPY_CONTEXT l[16 * MAX_MB_PLANE], a[16 * MAX_MB_PLANE];
PARTITION_CONTEXT sl[8], sa[8];
TOKENEXTRA *tp_orig = *tp;
int i, pl;
BLOCK_SIZE subsize;
int this_rate, sum_rate = 0, best_rate = INT_MAX;
int64_t this_dist, sum_dist = 0, best_dist = INT64_MAX;
int64_t sum_rd = 0;
int do_split = bsize >= BLOCK_8X8;
int do_rect = 1;
// Override skipping rectangular partition operations for edge blocks
const int force_horz_split = (mi_row + ms >= cm->mi_rows);
const int force_vert_split = (mi_col + ms >= cm->mi_cols);
int partition_none_allowed = !force_horz_split && !force_vert_split;
int partition_horz_allowed = !force_vert_split && bsize >= BLOCK_8X8;
int partition_vert_allowed = !force_horz_split && bsize >= BLOCK_8X8;
int partition_split_done = 0;
(void) *tp_orig;
if (bsize < BLOCK_8X8) {
// When ab_index = 0 all sub-blocks are handled, so for ab_index != 0
// there is nothing to be done.
if (x->ab_index != 0) {
*rate = 0;
*dist = 0;
return;
}
}
assert(num_8x8_blocks_wide_lookup[bsize] ==
num_8x8_blocks_high_lookup[bsize]);
if (bsize == BLOCK_16X16) {
set_offsets(cpi, tile, mi_row, mi_col, bsize);
x->mb_energy = vp9_block_energy(cpi, x, bsize);
}
// Determine partition types in search according to the speed features.
// The threshold set here has to be of square block size.
if (cpi->sf.auto_min_max_partition_size) {
partition_none_allowed &= (bsize <= cpi->sf.max_partition_size &&
bsize >= cpi->sf.min_partition_size);
partition_horz_allowed &= ((bsize <= cpi->sf.max_partition_size &&
bsize > cpi->sf.min_partition_size) ||
force_horz_split);
partition_vert_allowed &= ((bsize <= cpi->sf.max_partition_size &&
bsize > cpi->sf.min_partition_size) ||
force_vert_split);
do_split &= bsize > cpi->sf.min_partition_size;
}
if (cpi->sf.use_square_partition_only) {
partition_horz_allowed &= force_horz_split;
partition_vert_allowed &= force_vert_split;
}
save_context(cpi, mi_row, mi_col, a, l, sa, sl, bsize);
if (cpi->sf.disable_split_var_thresh && partition_none_allowed) {
unsigned int source_variancey;
vp9_setup_src_planes(x, cpi->Source, mi_row, mi_col);
source_variancey = get_sby_perpixel_variance(cpi, x, bsize);
if (source_variancey < cpi->sf.disable_split_var_thresh) {
do_split = 0;
if (source_variancey < cpi->sf.disable_split_var_thresh / 2)
do_rect = 0;
}
}
// PARTITION_NONE
if (partition_none_allowed) {
pick_sb_modes(cpi, tile, mi_row, mi_col, &this_rate, &this_dist, bsize,
get_block_context(x, bsize), best_rd);
if (this_rate != INT_MAX) {
if (bsize >= BLOCK_8X8) {
pl = partition_plane_context(cpi->above_seg_context,
cpi->left_seg_context,
mi_row, mi_col, bsize);
this_rate += x->partition_cost[pl][PARTITION_NONE];
}
sum_rd = RDCOST(x->rdmult, x->rddiv, this_rate, this_dist);
if (sum_rd < best_rd) {
int64_t stop_thresh = 2048;
best_rate = this_rate;
best_dist = this_dist;
best_rd = sum_rd;
if (bsize >= BLOCK_8X8)
*(get_sb_partitioning(x, bsize)) = bsize;
// Adjust threshold according to partition size.
stop_thresh >>= 8 - (b_width_log2_lookup[bsize] +
b_height_log2_lookup[bsize]);
// If obtained distortion is very small, choose current partition
// and stop splitting.
if (this_dist < stop_thresh) {
do_split = 0;
do_rect = 0;
}
}
}
restore_context(cpi, mi_row, mi_col, a, l, sa, sl, bsize);
}
// store estimated motion vector
if (cpi->sf.adaptive_motion_search)
store_pred_mv(x, get_block_context(x, bsize));
// PARTITION_SPLIT
sum_rd = 0;
// TODO(jingning): use the motion vectors given by the above search as
// the starting point of motion search in the following partition type check.
if (do_split) {
subsize = get_subsize(bsize, PARTITION_SPLIT);
for (i = 0; i < 4 && sum_rd < best_rd; ++i) {
const int x_idx = (i & 1) * ms;
const int y_idx = (i >> 1) * ms;
if (mi_row + y_idx >= cm->mi_rows || mi_col + x_idx >= cm->mi_cols)
continue;
*get_sb_index(x, subsize) = i;
if (cpi->sf.adaptive_motion_search)
load_pred_mv(x, get_block_context(x, bsize));
rd_pick_partition(cpi, tile, tp, mi_row + y_idx, mi_col + x_idx, subsize,
&this_rate, &this_dist, i != 3, best_rd - sum_rd);
if (this_rate == INT_MAX) {
sum_rd = INT64_MAX;
} else {
sum_rate += this_rate;
sum_dist += this_dist;
sum_rd = RDCOST(x->rdmult, x->rddiv, sum_rate, sum_dist);
}
}
if (sum_rd < best_rd && i == 4) {
pl = partition_plane_context(cpi->above_seg_context,
cpi->left_seg_context,
mi_row, mi_col, bsize);
sum_rate += x->partition_cost[pl][PARTITION_SPLIT];
sum_rd = RDCOST(x->rdmult, x->rddiv, sum_rate, sum_dist);
if (sum_rd < best_rd) {
best_rate = sum_rate;
best_dist = sum_dist;
best_rd = sum_rd;
*(get_sb_partitioning(x, bsize)) = subsize;
}
} else {
// skip rectangular partition test when larger block size
// gives better rd cost
if (cpi->sf.less_rectangular_check)
do_rect &= !partition_none_allowed;
}
partition_split_done = 1;
restore_context(cpi, mi_row, mi_col, a, l, sa, sl, bsize);
}
x->fast_ms = 0;
x->subblock_ref = 0;
if (partition_split_done &&
cpi->sf.using_small_partition_info) {
compute_fast_motion_search_level(cpi, bsize);
}
// PARTITION_HORZ
if (partition_horz_allowed && do_rect) {
subsize = get_subsize(bsize, PARTITION_HORZ);
*get_sb_index(x, subsize) = 0;
if (cpi->sf.adaptive_motion_search)
load_pred_mv(x, get_block_context(x, bsize));
pick_sb_modes(cpi, tile, mi_row, mi_col, &sum_rate, &sum_dist, subsize,
get_block_context(x, subsize), best_rd);
sum_rd = RDCOST(x->rdmult, x->rddiv, sum_rate, sum_dist);
if (sum_rd < best_rd && mi_row + ms < cm->mi_rows) {
update_state(cpi, get_block_context(x, subsize), subsize, 0);
encode_superblock(cpi, tp, 0, mi_row, mi_col, subsize);
*get_sb_index(x, subsize) = 1;
if (cpi->sf.adaptive_motion_search)
load_pred_mv(x, get_block_context(x, bsize));
pick_sb_modes(cpi, tile, mi_row + ms, mi_col, &this_rate,
&this_dist, subsize, get_block_context(x, subsize),
best_rd - sum_rd);
if (this_rate == INT_MAX) {
sum_rd = INT64_MAX;
} else {
sum_rate += this_rate;
sum_dist += this_dist;
sum_rd = RDCOST(x->rdmult, x->rddiv, sum_rate, sum_dist);
}
}
if (sum_rd < best_rd) {
pl = partition_plane_context(cpi->above_seg_context,
cpi->left_seg_context,
mi_row, mi_col, bsize);
sum_rate += x->partition_cost[pl][PARTITION_HORZ];
sum_rd = RDCOST(x->rdmult, x->rddiv, sum_rate, sum_dist);
if (sum_rd < best_rd) {
best_rd = sum_rd;
best_rate = sum_rate;
best_dist = sum_dist;
*(get_sb_partitioning(x, bsize)) = subsize;
}
}
restore_context(cpi, mi_row, mi_col, a, l, sa, sl, bsize);
}
// PARTITION_VERT
if (partition_vert_allowed && do_rect) {
subsize = get_subsize(bsize, PARTITION_VERT);
*get_sb_index(x, subsize) = 0;
if (cpi->sf.adaptive_motion_search)
load_pred_mv(x, get_block_context(x, bsize));
pick_sb_modes(cpi, tile, mi_row, mi_col, &sum_rate, &sum_dist, subsize,
get_block_context(x, subsize), best_rd);
sum_rd = RDCOST(x->rdmult, x->rddiv, sum_rate, sum_dist);
if (sum_rd < best_rd && mi_col + ms < cm->mi_cols) {
update_state(cpi, get_block_context(x, subsize), subsize, 0);
encode_superblock(cpi, tp, 0, mi_row, mi_col, subsize);
*get_sb_index(x, subsize) = 1;
if (cpi->sf.adaptive_motion_search)
load_pred_mv(x, get_block_context(x, bsize));
pick_sb_modes(cpi, tile, mi_row, mi_col + ms, &this_rate,
&this_dist, subsize, get_block_context(x, subsize),
best_rd - sum_rd);
if (this_rate == INT_MAX) {
sum_rd = INT64_MAX;
} else {
sum_rate += this_rate;
sum_dist += this_dist;
sum_rd = RDCOST(x->rdmult, x->rddiv, sum_rate, sum_dist);
}
}
if (sum_rd < best_rd) {
pl = partition_plane_context(cpi->above_seg_context,
cpi->left_seg_context,
mi_row, mi_col, bsize);
sum_rate += x->partition_cost[pl][PARTITION_VERT];
sum_rd = RDCOST(x->rdmult, x->rddiv, sum_rate, sum_dist);
if (sum_rd < best_rd) {
best_rate = sum_rate;
best_dist = sum_dist;
best_rd = sum_rd;
*(get_sb_partitioning(x, bsize)) = subsize;
}
}
restore_context(cpi, mi_row, mi_col, a, l, sa, sl, bsize);
}
*rate = best_rate;
*dist = best_dist;
if (best_rate < INT_MAX && best_dist < INT64_MAX && do_recon)
encode_sb(cpi, tile, tp, mi_row, mi_col, bsize == BLOCK_64X64, bsize);
if (bsize == BLOCK_64X64) {
assert(tp_orig < *tp);
assert(best_rate < INT_MAX);
assert(best_dist < INT_MAX);
} else {
assert(tp_orig == *tp);
}
}
// Examines 64x64 block and chooses a best reference frame
static void rd_pick_reference_frame(VP9_COMP *cpi, const TileInfo *const tile,
int mi_row, int mi_col) {
VP9_COMMON * const cm = &cpi->common;
MACROBLOCK * const x = &cpi->mb;
int bsl = b_width_log2(BLOCK_64X64), bs = 1 << bsl;
int ms = bs / 2;
ENTROPY_CONTEXT l[16 * MAX_MB_PLANE], a[16 * MAX_MB_PLANE];
PARTITION_CONTEXT sl[8], sa[8];
int pl;
int r;
int64_t d;
save_context(cpi, mi_row, mi_col, a, l, sa, sl, BLOCK_64X64);
// Default is non mask (all reference frames allowed.
cpi->ref_frame_mask = 0;
// Do RD search for 64x64.
if ((mi_row + (ms >> 1) < cm->mi_rows) &&
(mi_col + (ms >> 1) < cm->mi_cols)) {
cpi->set_ref_frame_mask = 1;
pick_sb_modes(cpi, tile, mi_row, mi_col, &r, &d, BLOCK_64X64,
get_block_context(x, BLOCK_64X64), INT64_MAX);
pl = partition_plane_context(cpi->above_seg_context, cpi->left_seg_context,
mi_row, mi_col, BLOCK_64X64);
r += x->partition_cost[pl][PARTITION_NONE];
*(get_sb_partitioning(x, BLOCK_64X64)) = BLOCK_64X64;
cpi->set_ref_frame_mask = 0;
}
restore_context(cpi, mi_row, mi_col, a, l, sa, sl, BLOCK_64X64);
}
static void encode_sb_row(VP9_COMP *cpi, const TileInfo *const tile,
int mi_row, TOKENEXTRA **tp) {
VP9_COMMON * const cm = &cpi->common;
int mi_col;
// Initialize the left context for the new SB row
vpx_memset(&cpi->left_context, 0, sizeof(cpi->left_context));
vpx_memset(cpi->left_seg_context, 0, sizeof(cpi->left_seg_context));
// Code each SB in the row
for (mi_col = tile->mi_col_start; mi_col < tile->mi_col_end;
mi_col += MI_BLOCK_SIZE) {
int dummy_rate;
int64_t dummy_dist;
vp9_zero(cpi->mb.pred_mv);
if (cpi->sf.reference_masking)
rd_pick_reference_frame(cpi, tile, mi_row, mi_col);
if (cpi->sf.use_lastframe_partitioning ||
cpi->sf.use_one_partition_size_always ) {
const int idx_str = cm->mode_info_stride * mi_row + mi_col;
MODE_INFO **mi_8x8 = cm->mi_grid_visible + idx_str;
MODE_INFO **prev_mi_8x8 = cm->prev_mi_grid_visible + idx_str;
cpi->mb.source_variance = UINT_MAX;
if (cpi->sf.use_one_partition_size_always) {
set_offsets(cpi, tile, mi_row, mi_col, BLOCK_64X64);
set_partitioning(cpi, tile, mi_8x8, mi_row, mi_col);
rd_use_partition(cpi, tile, mi_8x8, tp, mi_row, mi_col, BLOCK_64X64,
&dummy_rate, &dummy_dist, 1);
} else {
if ((cpi->common.current_video_frame
% cpi->sf.last_partitioning_redo_frequency) == 0
|| cm->prev_mi == 0
|| cpi->common.show_frame == 0
|| cpi->common.frame_type == KEY_FRAME
|| cpi->is_src_frame_alt_ref
|| ((cpi->sf.use_lastframe_partitioning ==
LAST_FRAME_PARTITION_LOW_MOTION) &&
sb_has_motion(cpi, prev_mi_8x8))) {
// If required set upper and lower partition size limits
if (cpi->sf.auto_min_max_partition_size) {
set_offsets(cpi, tile, mi_row, mi_col, BLOCK_64X64);
rd_auto_partition_range(cpi, tile, mi_row, mi_col,
&cpi->sf.min_partition_size,
&cpi->sf.max_partition_size);
}
rd_pick_partition(cpi, tile, tp, mi_row, mi_col, BLOCK_64X64,
&dummy_rate, &dummy_dist, 1, INT64_MAX);
} else {
copy_partitioning(cpi, mi_8x8, prev_mi_8x8);
rd_use_partition(cpi, tile, mi_8x8, tp, mi_row, mi_col, BLOCK_64X64,
&dummy_rate, &dummy_dist, 1);
}
}
} else {
// If required set upper and lower partition size limits
if (cpi->sf.auto_min_max_partition_size) {
set_offsets(cpi, tile, mi_row, mi_col, BLOCK_64X64);
rd_auto_partition_range(cpi, tile, mi_row, mi_col,
&cpi->sf.min_partition_size,
&cpi->sf.max_partition_size);
}
rd_pick_partition(cpi, tile, tp, mi_row, mi_col, BLOCK_64X64,
&dummy_rate, &dummy_dist, 1, INT64_MAX);
}
}
}
static void init_encode_frame_mb_context(VP9_COMP *cpi) {
MACROBLOCK *const x = &cpi->mb;
VP9_COMMON *const cm = &cpi->common;
MACROBLOCKD *const xd = &x->e_mbd;
const int aligned_mi_cols = mi_cols_aligned_to_sb(cm->mi_cols);
x->act_zbin_adj = 0;
cpi->seg0_idx = 0;
xd->mode_info_stride = cm->mode_info_stride;
// reset intra mode contexts
if (frame_is_intra_only(cm))
vp9_init_mbmode_probs(cm);
// Copy data over into macro block data structures.
vp9_setup_src_planes(x, cpi->Source, 0, 0);
// TODO(jkoleszar): are these initializations required?
setup_pre_planes(xd, 0, &cm->yv12_fb[cm->ref_frame_map[cpi->lst_fb_idx]],
0, 0, NULL);
setup_dst_planes(xd, get_frame_new_buffer(cm), 0, 0);
setup_block_dptrs(&x->e_mbd, cm->subsampling_x, cm->subsampling_y);
xd->mi_8x8[0]->mbmi.mode = DC_PRED;
xd->mi_8x8[0]->mbmi.uv_mode = DC_PRED;
vp9_zero(cpi->y_mode_count);
vp9_zero(cpi->y_uv_mode_count);
vp9_zero(cm->counts.inter_mode);
vp9_zero(cpi->partition_count);
vp9_zero(cpi->intra_inter_count);
vp9_zero(cpi->comp_inter_count);
vp9_zero(cpi->single_ref_count);
vp9_zero(cpi->comp_ref_count);
vp9_zero(cm->counts.tx);
vp9_zero(cm->counts.mbskip);
// Note: this memset assumes above_context[0], [1] and [2]
// are allocated as part of the same buffer.
vpx_memset(cpi->above_context[0], 0,
sizeof(*cpi->above_context[0]) *
2 * aligned_mi_cols * MAX_MB_PLANE);
vpx_memset(cpi->above_seg_context, 0,
sizeof(*cpi->above_seg_context) * aligned_mi_cols);
}
static void switch_lossless_mode(VP9_COMP *cpi, int lossless) {
if (lossless) {
Tx size selection enhancements (1) Refines the modeling function and uses that to add some speed features. Specifically, intead of using a flag use_largest_txfm as a speed feature, an enum tx_size_search_method is used, of which two of the types are USE_FULL_RD and USE_LARGESTALL. Two other new types are added: USE_LARGESTINTRA (use largest only for intra) USE_LARGESTINTRA_MODELINTER (use largest for intra, and model for inter) (2) Another change is that the framework for deciding transform type is simplified to use a heuristic count based method rather than an rd based method using txfm_cache. In practice the new method is found to work just as well - with derf only -0.01 down. The new method is more compatible with the new framework where certain rd costs are based on full rd and certain others are based on modeled rd or are not computed. In this patch the existing rd based method is still kept for use in the USE_FULL_RD mode. In the other modes, the count based method is used. However the recommendation is to remove it eventually since the benefit is limited, and will remove a lot of complications in the code (3) Finally a bug is fixed with the existing use_largest_txfm speed feature that causes mismatches when the lossless mode and 4x4 WH transform is forced. Results on derf: USE_FULL_RD: +0.03% (due to change in the tables), 0% encode time reduction USE_LARGESTINTRA: -0.21%, 15% encode time reduction (this one is a pretty good compromise) USE_LARGESTINTRA_MODELINTER: -0.98%, 22% encode time reduction (currently the benefit of modeling is limited for txfm size selection, but keeping this enum as a placeholder) . USE_LARGESTALL: -1.05%, 27% encode-time reduction (same as existing use_largest_txfm speed feature). Change-Id: I4d60a5f9ce78fbc90cddf2f97ed91d8bc0d4f936
2013-06-22 01:31:12 +02:00
// printf("Switching to lossless\n");
cpi->mb.fwd_txm4x4 = vp9_fwht4x4;
cpi->mb.e_mbd.itxm_add = vp9_iwht4x4_add;
cpi->mb.optimize = 0;
cpi->common.lf.filter_level = 0;
cpi->zbin_mode_boost_enabled = 0;
cpi->common.tx_mode = ONLY_4X4;
} else {
Tx size selection enhancements (1) Refines the modeling function and uses that to add some speed features. Specifically, intead of using a flag use_largest_txfm as a speed feature, an enum tx_size_search_method is used, of which two of the types are USE_FULL_RD and USE_LARGESTALL. Two other new types are added: USE_LARGESTINTRA (use largest only for intra) USE_LARGESTINTRA_MODELINTER (use largest for intra, and model for inter) (2) Another change is that the framework for deciding transform type is simplified to use a heuristic count based method rather than an rd based method using txfm_cache. In practice the new method is found to work just as well - with derf only -0.01 down. The new method is more compatible with the new framework where certain rd costs are based on full rd and certain others are based on modeled rd or are not computed. In this patch the existing rd based method is still kept for use in the USE_FULL_RD mode. In the other modes, the count based method is used. However the recommendation is to remove it eventually since the benefit is limited, and will remove a lot of complications in the code (3) Finally a bug is fixed with the existing use_largest_txfm speed feature that causes mismatches when the lossless mode and 4x4 WH transform is forced. Results on derf: USE_FULL_RD: +0.03% (due to change in the tables), 0% encode time reduction USE_LARGESTINTRA: -0.21%, 15% encode time reduction (this one is a pretty good compromise) USE_LARGESTINTRA_MODELINTER: -0.98%, 22% encode time reduction (currently the benefit of modeling is limited for txfm size selection, but keeping this enum as a placeholder) . USE_LARGESTALL: -1.05%, 27% encode-time reduction (same as existing use_largest_txfm speed feature). Change-Id: I4d60a5f9ce78fbc90cddf2f97ed91d8bc0d4f936
2013-06-22 01:31:12 +02:00
// printf("Not lossless\n");
cpi->mb.fwd_txm4x4 = vp9_fdct4x4;
cpi->mb.e_mbd.itxm_add = vp9_idct4x4_add;
}
}
static void switch_tx_mode(VP9_COMP *cpi) {
Tx size selection enhancements (1) Refines the modeling function and uses that to add some speed features. Specifically, intead of using a flag use_largest_txfm as a speed feature, an enum tx_size_search_method is used, of which two of the types are USE_FULL_RD and USE_LARGESTALL. Two other new types are added: USE_LARGESTINTRA (use largest only for intra) USE_LARGESTINTRA_MODELINTER (use largest for intra, and model for inter) (2) Another change is that the framework for deciding transform type is simplified to use a heuristic count based method rather than an rd based method using txfm_cache. In practice the new method is found to work just as well - with derf only -0.01 down. The new method is more compatible with the new framework where certain rd costs are based on full rd and certain others are based on modeled rd or are not computed. In this patch the existing rd based method is still kept for use in the USE_FULL_RD mode. In the other modes, the count based method is used. However the recommendation is to remove it eventually since the benefit is limited, and will remove a lot of complications in the code (3) Finally a bug is fixed with the existing use_largest_txfm speed feature that causes mismatches when the lossless mode and 4x4 WH transform is forced. Results on derf: USE_FULL_RD: +0.03% (due to change in the tables), 0% encode time reduction USE_LARGESTINTRA: -0.21%, 15% encode time reduction (this one is a pretty good compromise) USE_LARGESTINTRA_MODELINTER: -0.98%, 22% encode time reduction (currently the benefit of modeling is limited for txfm size selection, but keeping this enum as a placeholder) . USE_LARGESTALL: -1.05%, 27% encode-time reduction (same as existing use_largest_txfm speed feature). Change-Id: I4d60a5f9ce78fbc90cddf2f97ed91d8bc0d4f936
2013-06-22 01:31:12 +02:00
if (cpi->sf.tx_size_search_method == USE_LARGESTALL &&
cpi->common.tx_mode >= ALLOW_32X32)
cpi->common.tx_mode = ALLOW_32X32;
}
static void encode_frame_internal(VP9_COMP *cpi) {
int mi_row;
MACROBLOCK * const x = &cpi->mb;
VP9_COMMON * const cm = &cpi->common;
MACROBLOCKD * const xd = &x->e_mbd;
2010-05-18 17:58:33 +02:00
// fprintf(stderr, "encode_frame_internal frame %d (%d) type %d\n",
// cpi->common.current_video_frame, cpi->common.show_frame,
// cm->frame_type);
// debug output
#if DBG_PRNT_SEGMAP
{
FILE *statsfile;
statsfile = fopen("segmap2.stt", "a");
fprintf(statsfile, "\n");
fclose(statsfile);
}
#endif
vp9_zero(cm->counts.switchable_interp);
vp9_zero(cpi->tx_stepdown_count);
2010-05-18 17:58:33 +02:00
xd->mi_8x8 = cm->mi_grid_visible;
// required for vp9_frame_init_quantizer
xd->mi_8x8[0] = cm->mi;
xd->last_mi = cm->prev_mi;
vp9_zero(cpi->NMVcount);
vp9_zero(cpi->coef_counts);
vp9_zero(cm->counts.eob_branch);
2010-05-18 17:58:33 +02:00
cpi->mb.e_mbd.lossless = cm->base_qindex == 0 && cm->y_dc_delta_q == 0
&& cm->uv_dc_delta_q == 0 && cm->uv_ac_delta_q == 0;
switch_lossless_mode(cpi, cpi->mb.e_mbd.lossless);
vp9_frame_init_quantizer(cpi);
2010-05-18 17:58:33 +02:00
vp9_initialize_rd_consts(cpi);
vp9_initialize_me_consts(cpi, cm->base_qindex);
switch_tx_mode(cpi);
2010-05-18 17:58:33 +02:00
if (cpi->oxcf.tuning == VP8_TUNE_SSIM) {
// Initialize encode frame context.
init_encode_frame_mb_context(cpi);
// Build a frame level activity map
build_activity_map(cpi);
}
// Re-initialize encode frame context.
init_encode_frame_mb_context(cpi);
2010-05-18 17:58:33 +02:00
vp9_zero(cpi->rd_comp_pred_diff);
vp9_zero(cpi->rd_filter_diff);
vp9_zero(cpi->rd_tx_select_diff);
vp9_zero(cpi->rd_tx_select_threshes);
set_prev_mi(cm);
{
struct vpx_usec_timer emr_timer;
vpx_usec_timer_start(&emr_timer);
{
[WIP] Add column-based tiling. This patch adds column-based tiling. The idea is to make each tile independently decodable (after reading the common frame header) and also independendly encodable (minus within-frame cost adjustments in the RD loop) to speed-up hardware & software en/decoders if they used multi-threading. Column-based tiling has the added advantage (over other tiling methods) that it minimizes realtime use-case latency, since all threads can start encoding data as soon as the first SB-row worth of data is available to the encoder. There is some test code that does random tile ordering in the decoder, to confirm that each tile is indeed independently decodable from other tiles in the same frame. At tile edges, all contexts assume default values (i.e. 0, 0 motion vector, no coefficients, DC intra4x4 mode), and motion vector search and ordering do not cross tiles in the same frame. t log Tile independence is not maintained between frames ATM, i.e. tile 0 of frame 1 is free to use motion vectors that point into any tile of frame 0. We support 1 (i.e. no tiling), 2 or 4 column-tiles. The loopfilter crosses tile boundaries. I discussed this briefly with Aki and he says that's OK. An in-loop loopfilter would need to do some sync between tile threads, but that shouldn't be a big issue. Resuls: with tiling disabled, we go up slightly because of improved edge use in the intra4x4 prediction. With 2 tiles, we lose about ~1% on derf, ~0.35% on HD and ~0.55% on STD/HD. With 4 tiles, we lose another ~1.5% on derf ~0.77% on HD and ~0.85% on STD/HD. Most of this loss is concentrated in the low-bitrate end of clips, and most of it is because of the loss of edges at tile boundaries and the resulting loss of intra predictors. TODO: - more tiles (perhaps allow row-based tiling also, and max. 8 tiles)? - maybe optionally (for EC purposes), motion vectors themselves should not cross tile edges, or we should emulate such borders as if they were off-frame, to limit error propagation to within one tile only. This doesn't have to be the default behaviour but could be an optional bitstream flag. Change-Id: I5951c3a0742a767b20bc9fb5af685d9892c2c96f
2013-02-01 18:35:28 +01:00
// Take tiles into account and give start/end MB
int tile_col, tile_row;
TOKENEXTRA *tp = cpi->tok;
const int tile_cols = 1 << cm->log2_tile_cols;
const int tile_rows = 1 << cm->log2_tile_rows;
for (tile_row = 0; tile_row < tile_rows; tile_row++) {
for (tile_col = 0; tile_col < tile_cols; tile_col++) {
TileInfo tile;
TOKENEXTRA *tp_old = tp;
// For each row of SBs in the frame
vp9_tile_init(&tile, cm, tile_row, tile_col);
for (mi_row = tile.mi_row_start;
mi_row < tile.mi_row_end; mi_row += 8)
encode_sb_row(cpi, &tile, mi_row, &tp);
cpi->tok_count[tile_row][tile_col] = (unsigned int)(tp - tp_old);
assert(tp - cpi->tok <= get_token_alloc(cm->mb_rows, cm->mb_cols));
[WIP] Add column-based tiling. This patch adds column-based tiling. The idea is to make each tile independently decodable (after reading the common frame header) and also independendly encodable (minus within-frame cost adjustments in the RD loop) to speed-up hardware & software en/decoders if they used multi-threading. Column-based tiling has the added advantage (over other tiling methods) that it minimizes realtime use-case latency, since all threads can start encoding data as soon as the first SB-row worth of data is available to the encoder. There is some test code that does random tile ordering in the decoder, to confirm that each tile is indeed independently decodable from other tiles in the same frame. At tile edges, all contexts assume default values (i.e. 0, 0 motion vector, no coefficients, DC intra4x4 mode), and motion vector search and ordering do not cross tiles in the same frame. t log Tile independence is not maintained between frames ATM, i.e. tile 0 of frame 1 is free to use motion vectors that point into any tile of frame 0. We support 1 (i.e. no tiling), 2 or 4 column-tiles. The loopfilter crosses tile boundaries. I discussed this briefly with Aki and he says that's OK. An in-loop loopfilter would need to do some sync between tile threads, but that shouldn't be a big issue. Resuls: with tiling disabled, we go up slightly because of improved edge use in the intra4x4 prediction. With 2 tiles, we lose about ~1% on derf, ~0.35% on HD and ~0.55% on STD/HD. With 4 tiles, we lose another ~1.5% on derf ~0.77% on HD and ~0.85% on STD/HD. Most of this loss is concentrated in the low-bitrate end of clips, and most of it is because of the loss of edges at tile boundaries and the resulting loss of intra predictors. TODO: - more tiles (perhaps allow row-based tiling also, and max. 8 tiles)? - maybe optionally (for EC purposes), motion vectors themselves should not cross tile edges, or we should emulate such borders as if they were off-frame, to limit error propagation to within one tile only. This doesn't have to be the default behaviour but could be an optional bitstream flag. Change-Id: I5951c3a0742a767b20bc9fb5af685d9892c2c96f
2013-02-01 18:35:28 +01:00
}
}
2010-05-18 17:58:33 +02:00
}
vpx_usec_timer_mark(&emr_timer);
cpi->time_encode_sb_row += vpx_usec_timer_elapsed(&emr_timer);
}
if (cpi->sf.skip_encode_sb) {
int j;
unsigned int intra_count = 0, inter_count = 0;
for (j = 0; j < INTRA_INTER_CONTEXTS; ++j) {
intra_count += cpi->intra_inter_count[j][0];
inter_count += cpi->intra_inter_count[j][1];
}
cpi->sf.skip_encode_frame = ((intra_count << 2) < inter_count);
cpi->sf.skip_encode_frame &= (cm->frame_type != KEY_FRAME);
cpi->sf.skip_encode_frame &= cm->show_frame;
} else {
cpi->sf.skip_encode_frame = 0;
}
2010-05-18 17:58:33 +02:00
#if 0
// Keep record of the total distortion this time around for future use
cpi->last_frame_distortion = cpi->frame_distortion;
2010-05-18 17:58:33 +02:00
#endif
}
static int check_dual_ref_flags(VP9_COMP *cpi) {
const int ref_flags = cpi->ref_frame_flags;
if (vp9_segfeature_active(&cpi->common.seg, 1, SEG_LVL_REF_FRAME)) {
return 0;
} else {
return (!!(ref_flags & VP9_GOLD_FLAG) + !!(ref_flags & VP9_LAST_FLAG)
+ !!(ref_flags & VP9_ALT_FLAG)) >= 2;
}
}
static int get_skip_flag(MODE_INFO **mi_8x8, int mis, int ymbs, int xmbs) {
int x, y;
for (y = 0; y < ymbs; y++) {
for (x = 0; x < xmbs; x++) {
if (!mi_8x8[y * mis + x]->mbmi.skip_coeff)
return 0;
}
}
return 1;
}
static void set_txfm_flag(MODE_INFO **mi_8x8, int mis, int ymbs, int xmbs,
TX_SIZE tx_size) {
int x, y;
for (y = 0; y < ymbs; y++) {
for (x = 0; x < xmbs; x++)
mi_8x8[y * mis + x]->mbmi.tx_size = tx_size;
}
}
static void reset_skip_txfm_size_b(VP9_COMP *cpi, MODE_INFO **mi_8x8,
int mis, TX_SIZE max_tx_size, int bw, int bh,
int mi_row, int mi_col, BLOCK_SIZE bsize) {
VP9_COMMON * const cm = &cpi->common;
if (mi_row >= cm->mi_rows || mi_col >= cm->mi_cols) {
return;
} else {
MB_MODE_INFO * const mbmi = &mi_8x8[0]->mbmi;
if (mbmi->tx_size > max_tx_size) {
const int ymbs = MIN(bh, cm->mi_rows - mi_row);
const int xmbs = MIN(bw, cm->mi_cols - mi_col);
assert(vp9_segfeature_active(&cm->seg, mbmi->segment_id, SEG_LVL_SKIP) ||
get_skip_flag(mi_8x8, mis, ymbs, xmbs));
set_txfm_flag(mi_8x8, mis, ymbs, xmbs, max_tx_size);
}
}
}
static void reset_skip_txfm_size_sb(VP9_COMP *cpi, MODE_INFO **mi_8x8,
TX_SIZE max_tx_size, int mi_row, int mi_col,
BLOCK_SIZE bsize) {
VP9_COMMON * const cm = &cpi->common;
const int mis = cm->mode_info_stride;
int bw, bh;
const int bs = num_8x8_blocks_wide_lookup[bsize], hbs = bs / 2;
if (mi_row >= cm->mi_rows || mi_col >= cm->mi_cols)
return;
bw = num_8x8_blocks_wide_lookup[mi_8x8[0]->mbmi.sb_type];
bh = num_8x8_blocks_high_lookup[mi_8x8[0]->mbmi.sb_type];
if (bw == bs && bh == bs) {
reset_skip_txfm_size_b(cpi, mi_8x8, mis, max_tx_size, bs, bs, mi_row,
mi_col, bsize);
} else if (bw == bs && bh < bs) {
reset_skip_txfm_size_b(cpi, mi_8x8, mis, max_tx_size, bs, hbs, mi_row,
mi_col, bsize);
reset_skip_txfm_size_b(cpi, mi_8x8 + hbs * mis, mis, max_tx_size, bs, hbs,
mi_row + hbs, mi_col, bsize);
} else if (bw < bs && bh == bs) {
reset_skip_txfm_size_b(cpi, mi_8x8, mis, max_tx_size, hbs, bs, mi_row,
mi_col, bsize);
reset_skip_txfm_size_b(cpi, mi_8x8 + hbs, mis, max_tx_size, hbs, bs, mi_row,
mi_col + hbs, bsize);
} else {
const BLOCK_SIZE subsize = subsize_lookup[PARTITION_SPLIT][bsize];
int n;
assert(bw < bs && bh < bs);
for (n = 0; n < 4; n++) {
const int mi_dc = hbs * (n & 1);
const int mi_dr = hbs * (n >> 1);
reset_skip_txfm_size_sb(cpi, &mi_8x8[mi_dr * mis + mi_dc], max_tx_size,
mi_row + mi_dr, mi_col + mi_dc, subsize);
}
}
}
static void reset_skip_txfm_size(VP9_COMP *cpi, TX_SIZE txfm_max) {
VP9_COMMON * const cm = &cpi->common;
int mi_row, mi_col;
const int mis = cm->mode_info_stride;
// MODE_INFO *mi, *mi_ptr = cm->mi;
MODE_INFO **mi_8x8, **mi_ptr = cm->mi_grid_visible;
for (mi_row = 0; mi_row < cm->mi_rows; mi_row += 8, mi_ptr += 8 * mis) {
mi_8x8 = mi_ptr;
for (mi_col = 0; mi_col < cm->mi_cols; mi_col += 8, mi_8x8 += 8) {
reset_skip_txfm_size_sb(cpi, mi_8x8, txfm_max, mi_row, mi_col,
BLOCK_64X64);
}
}
}
Tx size selection enhancements (1) Refines the modeling function and uses that to add some speed features. Specifically, intead of using a flag use_largest_txfm as a speed feature, an enum tx_size_search_method is used, of which two of the types are USE_FULL_RD and USE_LARGESTALL. Two other new types are added: USE_LARGESTINTRA (use largest only for intra) USE_LARGESTINTRA_MODELINTER (use largest for intra, and model for inter) (2) Another change is that the framework for deciding transform type is simplified to use a heuristic count based method rather than an rd based method using txfm_cache. In practice the new method is found to work just as well - with derf only -0.01 down. The new method is more compatible with the new framework where certain rd costs are based on full rd and certain others are based on modeled rd or are not computed. In this patch the existing rd based method is still kept for use in the USE_FULL_RD mode. In the other modes, the count based method is used. However the recommendation is to remove it eventually since the benefit is limited, and will remove a lot of complications in the code (3) Finally a bug is fixed with the existing use_largest_txfm speed feature that causes mismatches when the lossless mode and 4x4 WH transform is forced. Results on derf: USE_FULL_RD: +0.03% (due to change in the tables), 0% encode time reduction USE_LARGESTINTRA: -0.21%, 15% encode time reduction (this one is a pretty good compromise) USE_LARGESTINTRA_MODELINTER: -0.98%, 22% encode time reduction (currently the benefit of modeling is limited for txfm size selection, but keeping this enum as a placeholder) . USE_LARGESTALL: -1.05%, 27% encode-time reduction (same as existing use_largest_txfm speed feature). Change-Id: I4d60a5f9ce78fbc90cddf2f97ed91d8bc0d4f936
2013-06-22 01:31:12 +02:00
static int get_frame_type(VP9_COMP *cpi) {
int frame_type;
if (frame_is_intra_only(&cpi->common))
Tx size selection enhancements (1) Refines the modeling function and uses that to add some speed features. Specifically, intead of using a flag use_largest_txfm as a speed feature, an enum tx_size_search_method is used, of which two of the types are USE_FULL_RD and USE_LARGESTALL. Two other new types are added: USE_LARGESTINTRA (use largest only for intra) USE_LARGESTINTRA_MODELINTER (use largest for intra, and model for inter) (2) Another change is that the framework for deciding transform type is simplified to use a heuristic count based method rather than an rd based method using txfm_cache. In practice the new method is found to work just as well - with derf only -0.01 down. The new method is more compatible with the new framework where certain rd costs are based on full rd and certain others are based on modeled rd or are not computed. In this patch the existing rd based method is still kept for use in the USE_FULL_RD mode. In the other modes, the count based method is used. However the recommendation is to remove it eventually since the benefit is limited, and will remove a lot of complications in the code (3) Finally a bug is fixed with the existing use_largest_txfm speed feature that causes mismatches when the lossless mode and 4x4 WH transform is forced. Results on derf: USE_FULL_RD: +0.03% (due to change in the tables), 0% encode time reduction USE_LARGESTINTRA: -0.21%, 15% encode time reduction (this one is a pretty good compromise) USE_LARGESTINTRA_MODELINTER: -0.98%, 22% encode time reduction (currently the benefit of modeling is limited for txfm size selection, but keeping this enum as a placeholder) . USE_LARGESTALL: -1.05%, 27% encode-time reduction (same as existing use_largest_txfm speed feature). Change-Id: I4d60a5f9ce78fbc90cddf2f97ed91d8bc0d4f936
2013-06-22 01:31:12 +02:00
frame_type = 0;
else if (cpi->is_src_frame_alt_ref && cpi->refresh_golden_frame)
frame_type = 3;
else if (cpi->refresh_golden_frame || cpi->refresh_alt_ref_frame)
frame_type = 1;
else
frame_type = 2;
return frame_type;
}
static void select_tx_mode(VP9_COMP *cpi) {
Tx size selection enhancements (1) Refines the modeling function and uses that to add some speed features. Specifically, intead of using a flag use_largest_txfm as a speed feature, an enum tx_size_search_method is used, of which two of the types are USE_FULL_RD and USE_LARGESTALL. Two other new types are added: USE_LARGESTINTRA (use largest only for intra) USE_LARGESTINTRA_MODELINTER (use largest for intra, and model for inter) (2) Another change is that the framework for deciding transform type is simplified to use a heuristic count based method rather than an rd based method using txfm_cache. In practice the new method is found to work just as well - with derf only -0.01 down. The new method is more compatible with the new framework where certain rd costs are based on full rd and certain others are based on modeled rd or are not computed. In this patch the existing rd based method is still kept for use in the USE_FULL_RD mode. In the other modes, the count based method is used. However the recommendation is to remove it eventually since the benefit is limited, and will remove a lot of complications in the code (3) Finally a bug is fixed with the existing use_largest_txfm speed feature that causes mismatches when the lossless mode and 4x4 WH transform is forced. Results on derf: USE_FULL_RD: +0.03% (due to change in the tables), 0% encode time reduction USE_LARGESTINTRA: -0.21%, 15% encode time reduction (this one is a pretty good compromise) USE_LARGESTINTRA_MODELINTER: -0.98%, 22% encode time reduction (currently the benefit of modeling is limited for txfm size selection, but keeping this enum as a placeholder) . USE_LARGESTALL: -1.05%, 27% encode-time reduction (same as existing use_largest_txfm speed feature). Change-Id: I4d60a5f9ce78fbc90cddf2f97ed91d8bc0d4f936
2013-06-22 01:31:12 +02:00
if (cpi->oxcf.lossless) {
cpi->common.tx_mode = ONLY_4X4;
Tx size selection enhancements (1) Refines the modeling function and uses that to add some speed features. Specifically, intead of using a flag use_largest_txfm as a speed feature, an enum tx_size_search_method is used, of which two of the types are USE_FULL_RD and USE_LARGESTALL. Two other new types are added: USE_LARGESTINTRA (use largest only for intra) USE_LARGESTINTRA_MODELINTER (use largest for intra, and model for inter) (2) Another change is that the framework for deciding transform type is simplified to use a heuristic count based method rather than an rd based method using txfm_cache. In practice the new method is found to work just as well - with derf only -0.01 down. The new method is more compatible with the new framework where certain rd costs are based on full rd and certain others are based on modeled rd or are not computed. In this patch the existing rd based method is still kept for use in the USE_FULL_RD mode. In the other modes, the count based method is used. However the recommendation is to remove it eventually since the benefit is limited, and will remove a lot of complications in the code (3) Finally a bug is fixed with the existing use_largest_txfm speed feature that causes mismatches when the lossless mode and 4x4 WH transform is forced. Results on derf: USE_FULL_RD: +0.03% (due to change in the tables), 0% encode time reduction USE_LARGESTINTRA: -0.21%, 15% encode time reduction (this one is a pretty good compromise) USE_LARGESTINTRA_MODELINTER: -0.98%, 22% encode time reduction (currently the benefit of modeling is limited for txfm size selection, but keeping this enum as a placeholder) . USE_LARGESTALL: -1.05%, 27% encode-time reduction (same as existing use_largest_txfm speed feature). Change-Id: I4d60a5f9ce78fbc90cddf2f97ed91d8bc0d4f936
2013-06-22 01:31:12 +02:00
} else if (cpi->common.current_video_frame == 0) {
cpi->common.tx_mode = TX_MODE_SELECT;
Tx size selection enhancements (1) Refines the modeling function and uses that to add some speed features. Specifically, intead of using a flag use_largest_txfm as a speed feature, an enum tx_size_search_method is used, of which two of the types are USE_FULL_RD and USE_LARGESTALL. Two other new types are added: USE_LARGESTINTRA (use largest only for intra) USE_LARGESTINTRA_MODELINTER (use largest for intra, and model for inter) (2) Another change is that the framework for deciding transform type is simplified to use a heuristic count based method rather than an rd based method using txfm_cache. In practice the new method is found to work just as well - with derf only -0.01 down. The new method is more compatible with the new framework where certain rd costs are based on full rd and certain others are based on modeled rd or are not computed. In this patch the existing rd based method is still kept for use in the USE_FULL_RD mode. In the other modes, the count based method is used. However the recommendation is to remove it eventually since the benefit is limited, and will remove a lot of complications in the code (3) Finally a bug is fixed with the existing use_largest_txfm speed feature that causes mismatches when the lossless mode and 4x4 WH transform is forced. Results on derf: USE_FULL_RD: +0.03% (due to change in the tables), 0% encode time reduction USE_LARGESTINTRA: -0.21%, 15% encode time reduction (this one is a pretty good compromise) USE_LARGESTINTRA_MODELINTER: -0.98%, 22% encode time reduction (currently the benefit of modeling is limited for txfm size selection, but keeping this enum as a placeholder) . USE_LARGESTALL: -1.05%, 27% encode-time reduction (same as existing use_largest_txfm speed feature). Change-Id: I4d60a5f9ce78fbc90cddf2f97ed91d8bc0d4f936
2013-06-22 01:31:12 +02:00
} else {
if (cpi->sf.tx_size_search_method == USE_LARGESTALL) {
cpi->common.tx_mode = ALLOW_32X32;
} else if (cpi->sf.tx_size_search_method == USE_FULL_RD) {
Tx size selection enhancements (1) Refines the modeling function and uses that to add some speed features. Specifically, intead of using a flag use_largest_txfm as a speed feature, an enum tx_size_search_method is used, of which two of the types are USE_FULL_RD and USE_LARGESTALL. Two other new types are added: USE_LARGESTINTRA (use largest only for intra) USE_LARGESTINTRA_MODELINTER (use largest for intra, and model for inter) (2) Another change is that the framework for deciding transform type is simplified to use a heuristic count based method rather than an rd based method using txfm_cache. In practice the new method is found to work just as well - with derf only -0.01 down. The new method is more compatible with the new framework where certain rd costs are based on full rd and certain others are based on modeled rd or are not computed. In this patch the existing rd based method is still kept for use in the USE_FULL_RD mode. In the other modes, the count based method is used. However the recommendation is to remove it eventually since the benefit is limited, and will remove a lot of complications in the code (3) Finally a bug is fixed with the existing use_largest_txfm speed feature that causes mismatches when the lossless mode and 4x4 WH transform is forced. Results on derf: USE_FULL_RD: +0.03% (due to change in the tables), 0% encode time reduction USE_LARGESTINTRA: -0.21%, 15% encode time reduction (this one is a pretty good compromise) USE_LARGESTINTRA_MODELINTER: -0.98%, 22% encode time reduction (currently the benefit of modeling is limited for txfm size selection, but keeping this enum as a placeholder) . USE_LARGESTALL: -1.05%, 27% encode-time reduction (same as existing use_largest_txfm speed feature). Change-Id: I4d60a5f9ce78fbc90cddf2f97ed91d8bc0d4f936
2013-06-22 01:31:12 +02:00
int frame_type = get_frame_type(cpi);
cpi->common.tx_mode =
Tx size selection enhancements (1) Refines the modeling function and uses that to add some speed features. Specifically, intead of using a flag use_largest_txfm as a speed feature, an enum tx_size_search_method is used, of which two of the types are USE_FULL_RD and USE_LARGESTALL. Two other new types are added: USE_LARGESTINTRA (use largest only for intra) USE_LARGESTINTRA_MODELINTER (use largest for intra, and model for inter) (2) Another change is that the framework for deciding transform type is simplified to use a heuristic count based method rather than an rd based method using txfm_cache. In practice the new method is found to work just as well - with derf only -0.01 down. The new method is more compatible with the new framework where certain rd costs are based on full rd and certain others are based on modeled rd or are not computed. In this patch the existing rd based method is still kept for use in the USE_FULL_RD mode. In the other modes, the count based method is used. However the recommendation is to remove it eventually since the benefit is limited, and will remove a lot of complications in the code (3) Finally a bug is fixed with the existing use_largest_txfm speed feature that causes mismatches when the lossless mode and 4x4 WH transform is forced. Results on derf: USE_FULL_RD: +0.03% (due to change in the tables), 0% encode time reduction USE_LARGESTINTRA: -0.21%, 15% encode time reduction (this one is a pretty good compromise) USE_LARGESTINTRA_MODELINTER: -0.98%, 22% encode time reduction (currently the benefit of modeling is limited for txfm size selection, but keeping this enum as a placeholder) . USE_LARGESTALL: -1.05%, 27% encode-time reduction (same as existing use_largest_txfm speed feature). Change-Id: I4d60a5f9ce78fbc90cddf2f97ed91d8bc0d4f936
2013-06-22 01:31:12 +02:00
cpi->rd_tx_select_threshes[frame_type][ALLOW_32X32]
> cpi->rd_tx_select_threshes[frame_type][TX_MODE_SELECT] ?
ALLOW_32X32 : TX_MODE_SELECT;
} else {
unsigned int total = 0;
int i;
for (i = 0; i < TX_SIZES; ++i)
total += cpi->tx_stepdown_count[i];
Tx size selection enhancements (1) Refines the modeling function and uses that to add some speed features. Specifically, intead of using a flag use_largest_txfm as a speed feature, an enum tx_size_search_method is used, of which two of the types are USE_FULL_RD and USE_LARGESTALL. Two other new types are added: USE_LARGESTINTRA (use largest only for intra) USE_LARGESTINTRA_MODELINTER (use largest for intra, and model for inter) (2) Another change is that the framework for deciding transform type is simplified to use a heuristic count based method rather than an rd based method using txfm_cache. In practice the new method is found to work just as well - with derf only -0.01 down. The new method is more compatible with the new framework where certain rd costs are based on full rd and certain others are based on modeled rd or are not computed. In this patch the existing rd based method is still kept for use in the USE_FULL_RD mode. In the other modes, the count based method is used. However the recommendation is to remove it eventually since the benefit is limited, and will remove a lot of complications in the code (3) Finally a bug is fixed with the existing use_largest_txfm speed feature that causes mismatches when the lossless mode and 4x4 WH transform is forced. Results on derf: USE_FULL_RD: +0.03% (due to change in the tables), 0% encode time reduction USE_LARGESTINTRA: -0.21%, 15% encode time reduction (this one is a pretty good compromise) USE_LARGESTINTRA_MODELINTER: -0.98%, 22% encode time reduction (currently the benefit of modeling is limited for txfm size selection, but keeping this enum as a placeholder) . USE_LARGESTALL: -1.05%, 27% encode-time reduction (same as existing use_largest_txfm speed feature). Change-Id: I4d60a5f9ce78fbc90cddf2f97ed91d8bc0d4f936
2013-06-22 01:31:12 +02:00
if (total) {
double fraction = (double)cpi->tx_stepdown_count[0] / total;
cpi->common.tx_mode = fraction > 0.90 ? ALLOW_32X32 : TX_MODE_SELECT;
Tx size selection enhancements (1) Refines the modeling function and uses that to add some speed features. Specifically, intead of using a flag use_largest_txfm as a speed feature, an enum tx_size_search_method is used, of which two of the types are USE_FULL_RD and USE_LARGESTALL. Two other new types are added: USE_LARGESTINTRA (use largest only for intra) USE_LARGESTINTRA_MODELINTER (use largest for intra, and model for inter) (2) Another change is that the framework for deciding transform type is simplified to use a heuristic count based method rather than an rd based method using txfm_cache. In practice the new method is found to work just as well - with derf only -0.01 down. The new method is more compatible with the new framework where certain rd costs are based on full rd and certain others are based on modeled rd or are not computed. In this patch the existing rd based method is still kept for use in the USE_FULL_RD mode. In the other modes, the count based method is used. However the recommendation is to remove it eventually since the benefit is limited, and will remove a lot of complications in the code (3) Finally a bug is fixed with the existing use_largest_txfm speed feature that causes mismatches when the lossless mode and 4x4 WH transform is forced. Results on derf: USE_FULL_RD: +0.03% (due to change in the tables), 0% encode time reduction USE_LARGESTINTRA: -0.21%, 15% encode time reduction (this one is a pretty good compromise) USE_LARGESTINTRA_MODELINTER: -0.98%, 22% encode time reduction (currently the benefit of modeling is limited for txfm size selection, but keeping this enum as a placeholder) . USE_LARGESTALL: -1.05%, 27% encode-time reduction (same as existing use_largest_txfm speed feature). Change-Id: I4d60a5f9ce78fbc90cddf2f97ed91d8bc0d4f936
2013-06-22 01:31:12 +02:00
// printf("fraction = %f\n", fraction);
} // else keep unchanged
}
}
}
void vp9_encode_frame(VP9_COMP *cpi) {
VP9_COMMON * const cm = &cpi->common;
// In the longer term the encoder should be generalized to match the
// decoder such that we allow compound where one of the 3 buffers has a
// different sign bias and that buffer is then the fixed ref. However, this
// requires further work in the rd loop. For now the only supported encoder
// side behavior is where the ALT ref buffer has opposite sign bias to
// the other two.
if (!frame_is_intra_only(cm)) {
if ((cm->ref_frame_sign_bias[ALTREF_FRAME]
== cm->ref_frame_sign_bias[GOLDEN_FRAME])
|| (cm->ref_frame_sign_bias[ALTREF_FRAME]
== cm->ref_frame_sign_bias[LAST_FRAME])) {
cm->allow_comp_inter_inter = 0;
} else {
cm->allow_comp_inter_inter = 1;
cm->comp_fixed_ref = ALTREF_FRAME;
cm->comp_var_ref[0] = LAST_FRAME;
cm->comp_var_ref[1] = GOLDEN_FRAME;
}
}
if (cpi->sf.RD) {
Tx size selection enhancements (1) Refines the modeling function and uses that to add some speed features. Specifically, intead of using a flag use_largest_txfm as a speed feature, an enum tx_size_search_method is used, of which two of the types are USE_FULL_RD and USE_LARGESTALL. Two other new types are added: USE_LARGESTINTRA (use largest only for intra) USE_LARGESTINTRA_MODELINTER (use largest for intra, and model for inter) (2) Another change is that the framework for deciding transform type is simplified to use a heuristic count based method rather than an rd based method using txfm_cache. In practice the new method is found to work just as well - with derf only -0.01 down. The new method is more compatible with the new framework where certain rd costs are based on full rd and certain others are based on modeled rd or are not computed. In this patch the existing rd based method is still kept for use in the USE_FULL_RD mode. In the other modes, the count based method is used. However the recommendation is to remove it eventually since the benefit is limited, and will remove a lot of complications in the code (3) Finally a bug is fixed with the existing use_largest_txfm speed feature that causes mismatches when the lossless mode and 4x4 WH transform is forced. Results on derf: USE_FULL_RD: +0.03% (due to change in the tables), 0% encode time reduction USE_LARGESTINTRA: -0.21%, 15% encode time reduction (this one is a pretty good compromise) USE_LARGESTINTRA_MODELINTER: -0.98%, 22% encode time reduction (currently the benefit of modeling is limited for txfm size selection, but keeping this enum as a placeholder) . USE_LARGESTALL: -1.05%, 27% encode-time reduction (same as existing use_largest_txfm speed feature). Change-Id: I4d60a5f9ce78fbc90cddf2f97ed91d8bc0d4f936
2013-06-22 01:31:12 +02:00
int i, pred_type;
INTERPOLATION_TYPE filter_type;
/*
* This code does a single RD pass over the whole frame assuming
* either compound, single or hybrid prediction as per whatever has
* worked best for that type of frame in the past.
* It also predicts whether another coding mode would have worked
* better that this coding mode. If that is the case, it remembers
* that for subsequent frames.
* It does the same analysis for transform size selection also.
*/
Tx size selection enhancements (1) Refines the modeling function and uses that to add some speed features. Specifically, intead of using a flag use_largest_txfm as a speed feature, an enum tx_size_search_method is used, of which two of the types are USE_FULL_RD and USE_LARGESTALL. Two other new types are added: USE_LARGESTINTRA (use largest only for intra) USE_LARGESTINTRA_MODELINTER (use largest for intra, and model for inter) (2) Another change is that the framework for deciding transform type is simplified to use a heuristic count based method rather than an rd based method using txfm_cache. In practice the new method is found to work just as well - with derf only -0.01 down. The new method is more compatible with the new framework where certain rd costs are based on full rd and certain others are based on modeled rd or are not computed. In this patch the existing rd based method is still kept for use in the USE_FULL_RD mode. In the other modes, the count based method is used. However the recommendation is to remove it eventually since the benefit is limited, and will remove a lot of complications in the code (3) Finally a bug is fixed with the existing use_largest_txfm speed feature that causes mismatches when the lossless mode and 4x4 WH transform is forced. Results on derf: USE_FULL_RD: +0.03% (due to change in the tables), 0% encode time reduction USE_LARGESTINTRA: -0.21%, 15% encode time reduction (this one is a pretty good compromise) USE_LARGESTINTRA_MODELINTER: -0.98%, 22% encode time reduction (currently the benefit of modeling is limited for txfm size selection, but keeping this enum as a placeholder) . USE_LARGESTALL: -1.05%, 27% encode-time reduction (same as existing use_largest_txfm speed feature). Change-Id: I4d60a5f9ce78fbc90cddf2f97ed91d8bc0d4f936
2013-06-22 01:31:12 +02:00
int frame_type = get_frame_type(cpi);
/* prediction (compound, single or hybrid) mode selection */
if (frame_type == 3 || !cm->allow_comp_inter_inter)
pred_type = SINGLE_PREDICTION_ONLY;
else if (cpi->rd_prediction_type_threshes[frame_type][1]
Tx size selection enhancements (1) Refines the modeling function and uses that to add some speed features. Specifically, intead of using a flag use_largest_txfm as a speed feature, an enum tx_size_search_method is used, of which two of the types are USE_FULL_RD and USE_LARGESTALL. Two other new types are added: USE_LARGESTINTRA (use largest only for intra) USE_LARGESTINTRA_MODELINTER (use largest for intra, and model for inter) (2) Another change is that the framework for deciding transform type is simplified to use a heuristic count based method rather than an rd based method using txfm_cache. In practice the new method is found to work just as well - with derf only -0.01 down. The new method is more compatible with the new framework where certain rd costs are based on full rd and certain others are based on modeled rd or are not computed. In this patch the existing rd based method is still kept for use in the USE_FULL_RD mode. In the other modes, the count based method is used. However the recommendation is to remove it eventually since the benefit is limited, and will remove a lot of complications in the code (3) Finally a bug is fixed with the existing use_largest_txfm speed feature that causes mismatches when the lossless mode and 4x4 WH transform is forced. Results on derf: USE_FULL_RD: +0.03% (due to change in the tables), 0% encode time reduction USE_LARGESTINTRA: -0.21%, 15% encode time reduction (this one is a pretty good compromise) USE_LARGESTINTRA_MODELINTER: -0.98%, 22% encode time reduction (currently the benefit of modeling is limited for txfm size selection, but keeping this enum as a placeholder) . USE_LARGESTALL: -1.05%, 27% encode-time reduction (same as existing use_largest_txfm speed feature). Change-Id: I4d60a5f9ce78fbc90cddf2f97ed91d8bc0d4f936
2013-06-22 01:31:12 +02:00
> cpi->rd_prediction_type_threshes[frame_type][0]
&& cpi->rd_prediction_type_threshes[frame_type][1]
> cpi->rd_prediction_type_threshes[frame_type][2]
&& check_dual_ref_flags(cpi) && cpi->static_mb_pct == 100)
pred_type = COMP_PREDICTION_ONLY;
else if (cpi->rd_prediction_type_threshes[frame_type][0]
Tx size selection enhancements (1) Refines the modeling function and uses that to add some speed features. Specifically, intead of using a flag use_largest_txfm as a speed feature, an enum tx_size_search_method is used, of which two of the types are USE_FULL_RD and USE_LARGESTALL. Two other new types are added: USE_LARGESTINTRA (use largest only for intra) USE_LARGESTINTRA_MODELINTER (use largest for intra, and model for inter) (2) Another change is that the framework for deciding transform type is simplified to use a heuristic count based method rather than an rd based method using txfm_cache. In practice the new method is found to work just as well - with derf only -0.01 down. The new method is more compatible with the new framework where certain rd costs are based on full rd and certain others are based on modeled rd or are not computed. In this patch the existing rd based method is still kept for use in the USE_FULL_RD mode. In the other modes, the count based method is used. However the recommendation is to remove it eventually since the benefit is limited, and will remove a lot of complications in the code (3) Finally a bug is fixed with the existing use_largest_txfm speed feature that causes mismatches when the lossless mode and 4x4 WH transform is forced. Results on derf: USE_FULL_RD: +0.03% (due to change in the tables), 0% encode time reduction USE_LARGESTINTRA: -0.21%, 15% encode time reduction (this one is a pretty good compromise) USE_LARGESTINTRA_MODELINTER: -0.98%, 22% encode time reduction (currently the benefit of modeling is limited for txfm size selection, but keeping this enum as a placeholder) . USE_LARGESTALL: -1.05%, 27% encode-time reduction (same as existing use_largest_txfm speed feature). Change-Id: I4d60a5f9ce78fbc90cddf2f97ed91d8bc0d4f936
2013-06-22 01:31:12 +02:00
> cpi->rd_prediction_type_threshes[frame_type][2])
pred_type = SINGLE_PREDICTION_ONLY;
else
pred_type = HYBRID_PREDICTION;
/* filter type selection */
// FIXME(rbultje) for some odd reason, we often select smooth_filter
// as default filter for ARF overlay frames. This is a REALLY BAD
// IDEA so we explicitly disable it here.
if (frame_type != 3 &&
cpi->rd_filter_threshes[frame_type][1] >
cpi->rd_filter_threshes[frame_type][0] &&
cpi->rd_filter_threshes[frame_type][1] >
cpi->rd_filter_threshes[frame_type][2] &&
cpi->rd_filter_threshes[frame_type][1] >
cpi->rd_filter_threshes[frame_type][SWITCHABLE_FILTERS]) {
filter_type = EIGHTTAP_SMOOTH;
} else if (cpi->rd_filter_threshes[frame_type][2] >
cpi->rd_filter_threshes[frame_type][0] &&
cpi->rd_filter_threshes[frame_type][2] >
cpi->rd_filter_threshes[frame_type][SWITCHABLE_FILTERS]) {
filter_type = EIGHTTAP_SHARP;
} else if (cpi->rd_filter_threshes[frame_type][0] >
cpi->rd_filter_threshes[frame_type][SWITCHABLE_FILTERS]) {
filter_type = EIGHTTAP;
} else {
filter_type = SWITCHABLE;
}
cpi->mb.e_mbd.lossless = 0;
if (cpi->oxcf.lossless) {
cpi->mb.e_mbd.lossless = 1;
Tx size selection enhancements (1) Refines the modeling function and uses that to add some speed features. Specifically, intead of using a flag use_largest_txfm as a speed feature, an enum tx_size_search_method is used, of which two of the types are USE_FULL_RD and USE_LARGESTALL. Two other new types are added: USE_LARGESTINTRA (use largest only for intra) USE_LARGESTINTRA_MODELINTER (use largest for intra, and model for inter) (2) Another change is that the framework for deciding transform type is simplified to use a heuristic count based method rather than an rd based method using txfm_cache. In practice the new method is found to work just as well - with derf only -0.01 down. The new method is more compatible with the new framework where certain rd costs are based on full rd and certain others are based on modeled rd or are not computed. In this patch the existing rd based method is still kept for use in the USE_FULL_RD mode. In the other modes, the count based method is used. However the recommendation is to remove it eventually since the benefit is limited, and will remove a lot of complications in the code (3) Finally a bug is fixed with the existing use_largest_txfm speed feature that causes mismatches when the lossless mode and 4x4 WH transform is forced. Results on derf: USE_FULL_RD: +0.03% (due to change in the tables), 0% encode time reduction USE_LARGESTINTRA: -0.21%, 15% encode time reduction (this one is a pretty good compromise) USE_LARGESTINTRA_MODELINTER: -0.98%, 22% encode time reduction (currently the benefit of modeling is limited for txfm size selection, but keeping this enum as a placeholder) . USE_LARGESTALL: -1.05%, 27% encode-time reduction (same as existing use_largest_txfm speed feature). Change-Id: I4d60a5f9ce78fbc90cddf2f97ed91d8bc0d4f936
2013-06-22 01:31:12 +02:00
}
/* transform size selection (4x4, 8x8, 16x16 or select-per-mb) */
select_tx_mode(cpi);
cpi->common.comp_pred_mode = pred_type;
cpi->common.mcomp_filter_type = filter_type;
encode_frame_internal(cpi);
for (i = 0; i < NB_PREDICTION_TYPES; ++i) {
const int diff = (int) (cpi->rd_comp_pred_diff[i] / cpi->common.MBs);
cpi->rd_prediction_type_threshes[frame_type][i] += diff;
cpi->rd_prediction_type_threshes[frame_type][i] >>= 1;
}
for (i = 0; i < SWITCHABLE_FILTER_CONTEXTS; i++) {
const int64_t diff = cpi->rd_filter_diff[i] / cpi->common.MBs;
cpi->rd_filter_threshes[frame_type][i] =
(cpi->rd_filter_threshes[frame_type][i] + diff) / 2;
}
for (i = 0; i < TX_MODES; ++i) {
int64_t pd = cpi->rd_tx_select_diff[i];
int diff;
if (i == TX_MODE_SELECT)
32x32 transform for superblocks. This adds Debargha's DCT/DWT hybrid and a regular 32x32 DCT, and adds code all over the place to wrap that in the bitstream/encoder/decoder/RD. Some implementation notes (these probably need careful review): - token range is extended by 1 bit, since the value range out of this transform is [-16384,16383]. - the coefficients coming out of the FDCT are manually scaled back by 1 bit, or else they won't fit in int16_t (they are 17 bits). Because of this, the RD error scoring does not right-shift the MSE score by two (unlike for 4x4/8x8/16x16). - to compensate for this loss in precision, the quantizer is halved also. This is currently a little hacky. - FDCT and IDCT is double-only right now. Needs a fixed-point impl. - There are no default probabilities for the 32x32 transform yet; I'm simply using the 16x16 luma ones. A future commit will add newly generated probabilities for all transforms. - No ADST version. I don't think we'll add one for this level; if an ADST is desired, transform-size selection can scale back to 16x16 or lower, and use an ADST at that level. Additional notes specific to Debargha's DWT/DCT hybrid: - coefficient scale is different for the top/left 16x16 (DCT-over-DWT) block than for the rest (DWT pixel differences) of the block. Therefore, RD error scoring isn't easily scalable between coefficient and pixel domain. Thus, unfortunately, we need to compute the RD distortion in the pixel domain until we figure out how to scale these appropriately. Change-Id: I00386f20f35d7fabb19aba94c8162f8aee64ef2b
2012-12-07 23:45:05 +01:00
pd -= RDCOST(cpi->mb.rdmult, cpi->mb.rddiv,
2048 * (TX_SIZES - 1), 0);
diff = (int) (pd / cpi->common.MBs);
cpi->rd_tx_select_threshes[frame_type][i] += diff;
cpi->rd_tx_select_threshes[frame_type][i] /= 2;
}
if (cpi->common.comp_pred_mode == HYBRID_PREDICTION) {
int single_count_zero = 0;
int comp_count_zero = 0;
for (i = 0; i < COMP_INTER_CONTEXTS; i++) {
single_count_zero += cpi->comp_inter_count[i][0];
comp_count_zero += cpi->comp_inter_count[i][1];
}
if (comp_count_zero == 0) {
cpi->common.comp_pred_mode = SINGLE_PREDICTION_ONLY;
vp9_zero(cpi->comp_inter_count);
} else if (single_count_zero == 0) {
cpi->common.comp_pred_mode = COMP_PREDICTION_ONLY;
vp9_zero(cpi->comp_inter_count);
}
}
if (cpi->common.tx_mode == TX_MODE_SELECT) {
int count4x4 = 0;
int count8x8_lp = 0, count8x8_8x8p = 0;
int count16x16_16x16p = 0, count16x16_lp = 0;
int count32x32 = 0;
for (i = 0; i < TX_SIZE_CONTEXTS; ++i) {
count4x4 += cm->counts.tx.p32x32[i][TX_4X4];
count4x4 += cm->counts.tx.p16x16[i][TX_4X4];
count4x4 += cm->counts.tx.p8x8[i][TX_4X4];
count8x8_lp += cm->counts.tx.p32x32[i][TX_8X8];
count8x8_lp += cm->counts.tx.p16x16[i][TX_8X8];
count8x8_8x8p += cm->counts.tx.p8x8[i][TX_8X8];
count16x16_16x16p += cm->counts.tx.p16x16[i][TX_16X16];
count16x16_lp += cm->counts.tx.p32x32[i][TX_16X16];
count32x32 += cm->counts.tx.p32x32[i][TX_32X32];
}
if (count4x4 == 0 && count16x16_lp == 0 && count16x16_16x16p == 0
&& count32x32 == 0) {
cpi->common.tx_mode = ALLOW_8X8;
reset_skip_txfm_size(cpi, TX_8X8);
} else if (count8x8_8x8p == 0 && count16x16_16x16p == 0
Tx size selection enhancements (1) Refines the modeling function and uses that to add some speed features. Specifically, intead of using a flag use_largest_txfm as a speed feature, an enum tx_size_search_method is used, of which two of the types are USE_FULL_RD and USE_LARGESTALL. Two other new types are added: USE_LARGESTINTRA (use largest only for intra) USE_LARGESTINTRA_MODELINTER (use largest for intra, and model for inter) (2) Another change is that the framework for deciding transform type is simplified to use a heuristic count based method rather than an rd based method using txfm_cache. In practice the new method is found to work just as well - with derf only -0.01 down. The new method is more compatible with the new framework where certain rd costs are based on full rd and certain others are based on modeled rd or are not computed. In this patch the existing rd based method is still kept for use in the USE_FULL_RD mode. In the other modes, the count based method is used. However the recommendation is to remove it eventually since the benefit is limited, and will remove a lot of complications in the code (3) Finally a bug is fixed with the existing use_largest_txfm speed feature that causes mismatches when the lossless mode and 4x4 WH transform is forced. Results on derf: USE_FULL_RD: +0.03% (due to change in the tables), 0% encode time reduction USE_LARGESTINTRA: -0.21%, 15% encode time reduction (this one is a pretty good compromise) USE_LARGESTINTRA_MODELINTER: -0.98%, 22% encode time reduction (currently the benefit of modeling is limited for txfm size selection, but keeping this enum as a placeholder) . USE_LARGESTALL: -1.05%, 27% encode-time reduction (same as existing use_largest_txfm speed feature). Change-Id: I4d60a5f9ce78fbc90cddf2f97ed91d8bc0d4f936
2013-06-22 01:31:12 +02:00
&& count8x8_lp == 0 && count16x16_lp == 0 && count32x32 == 0) {
cpi->common.tx_mode = ONLY_4X4;
reset_skip_txfm_size(cpi, TX_4X4);
32x32 transform for superblocks. This adds Debargha's DCT/DWT hybrid and a regular 32x32 DCT, and adds code all over the place to wrap that in the bitstream/encoder/decoder/RD. Some implementation notes (these probably need careful review): - token range is extended by 1 bit, since the value range out of this transform is [-16384,16383]. - the coefficients coming out of the FDCT are manually scaled back by 1 bit, or else they won't fit in int16_t (they are 17 bits). Because of this, the RD error scoring does not right-shift the MSE score by two (unlike for 4x4/8x8/16x16). - to compensate for this loss in precision, the quantizer is halved also. This is currently a little hacky. - FDCT and IDCT is double-only right now. Needs a fixed-point impl. - There are no default probabilities for the 32x32 transform yet; I'm simply using the 16x16 luma ones. A future commit will add newly generated probabilities for all transforms. - No ADST version. I don't think we'll add one for this level; if an ADST is desired, transform-size selection can scale back to 16x16 or lower, and use an ADST at that level. Additional notes specific to Debargha's DWT/DCT hybrid: - coefficient scale is different for the top/left 16x16 (DCT-over-DWT) block than for the rest (DWT pixel differences) of the block. Therefore, RD error scoring isn't easily scalable between coefficient and pixel domain. Thus, unfortunately, we need to compute the RD distortion in the pixel domain until we figure out how to scale these appropriately. Change-Id: I00386f20f35d7fabb19aba94c8162f8aee64ef2b
2012-12-07 23:45:05 +01:00
} else if (count8x8_lp == 0 && count16x16_lp == 0 && count4x4 == 0) {
cpi->common.tx_mode = ALLOW_32X32;
32x32 transform for superblocks. This adds Debargha's DCT/DWT hybrid and a regular 32x32 DCT, and adds code all over the place to wrap that in the bitstream/encoder/decoder/RD. Some implementation notes (these probably need careful review): - token range is extended by 1 bit, since the value range out of this transform is [-16384,16383]. - the coefficients coming out of the FDCT are manually scaled back by 1 bit, or else they won't fit in int16_t (they are 17 bits). Because of this, the RD error scoring does not right-shift the MSE score by two (unlike for 4x4/8x8/16x16). - to compensate for this loss in precision, the quantizer is halved also. This is currently a little hacky. - FDCT and IDCT is double-only right now. Needs a fixed-point impl. - There are no default probabilities for the 32x32 transform yet; I'm simply using the 16x16 luma ones. A future commit will add newly generated probabilities for all transforms. - No ADST version. I don't think we'll add one for this level; if an ADST is desired, transform-size selection can scale back to 16x16 or lower, and use an ADST at that level. Additional notes specific to Debargha's DWT/DCT hybrid: - coefficient scale is different for the top/left 16x16 (DCT-over-DWT) block than for the rest (DWT pixel differences) of the block. Therefore, RD error scoring isn't easily scalable between coefficient and pixel domain. Thus, unfortunately, we need to compute the RD distortion in the pixel domain until we figure out how to scale these appropriately. Change-Id: I00386f20f35d7fabb19aba94c8162f8aee64ef2b
2012-12-07 23:45:05 +01:00
} else if (count32x32 == 0 && count8x8_lp == 0 && count4x4 == 0) {
cpi->common.tx_mode = ALLOW_16X16;
32x32 transform for superblocks. This adds Debargha's DCT/DWT hybrid and a regular 32x32 DCT, and adds code all over the place to wrap that in the bitstream/encoder/decoder/RD. Some implementation notes (these probably need careful review): - token range is extended by 1 bit, since the value range out of this transform is [-16384,16383]. - the coefficients coming out of the FDCT are manually scaled back by 1 bit, or else they won't fit in int16_t (they are 17 bits). Because of this, the RD error scoring does not right-shift the MSE score by two (unlike for 4x4/8x8/16x16). - to compensate for this loss in precision, the quantizer is halved also. This is currently a little hacky. - FDCT and IDCT is double-only right now. Needs a fixed-point impl. - There are no default probabilities for the 32x32 transform yet; I'm simply using the 16x16 luma ones. A future commit will add newly generated probabilities for all transforms. - No ADST version. I don't think we'll add one for this level; if an ADST is desired, transform-size selection can scale back to 16x16 or lower, and use an ADST at that level. Additional notes specific to Debargha's DWT/DCT hybrid: - coefficient scale is different for the top/left 16x16 (DCT-over-DWT) block than for the rest (DWT pixel differences) of the block. Therefore, RD error scoring isn't easily scalable between coefficient and pixel domain. Thus, unfortunately, we need to compute the RD distortion in the pixel domain until we figure out how to scale these appropriately. Change-Id: I00386f20f35d7fabb19aba94c8162f8aee64ef2b
2012-12-07 23:45:05 +01:00
reset_skip_txfm_size(cpi, TX_16X16);
}
}
} else {
encode_frame_internal(cpi);
}
}
static void sum_intra_stats(VP9_COMP *cpi, const MODE_INFO *mi) {
const MB_PREDICTION_MODE y_mode = mi->mbmi.mode;
const MB_PREDICTION_MODE uv_mode = mi->mbmi.uv_mode;
const BLOCK_SIZE bsize = mi->mbmi.sb_type;
++cpi->y_uv_mode_count[y_mode][uv_mode];
if (bsize < BLOCK_8X8) {
int idx, idy;
const int num_4x4_blocks_wide = num_4x4_blocks_wide_lookup[bsize];
const int num_4x4_blocks_high = num_4x4_blocks_high_lookup[bsize];
for (idy = 0; idy < 2; idy += num_4x4_blocks_high)
for (idx = 0; idx < 2; idx += num_4x4_blocks_wide)
++cpi->y_mode_count[0][mi->bmi[idy * 2 + idx].as_mode];
} else {
++cpi->y_mode_count[size_group_lookup[bsize]][y_mode];
}
2010-05-18 17:58:33 +02:00
}
// Experimental stub function to create a per MB zbin adjustment based on
// some previously calculated measure of MB activity.
static void adjust_act_zbin(VP9_COMP *cpi, MACROBLOCK *x) {
#if USE_ACT_INDEX
x->act_zbin_adj = *(x->mb_activity_ptr);
#else
int64_t a;
int64_t b;
int64_t act = *(x->mb_activity_ptr);
// Apply the masking to the RD multiplier.
a = act + 4 * cpi->activity_avg;
b = 4 * act + cpi->activity_avg;
if (act > cpi->activity_avg)
x->act_zbin_adj = (int) (((int64_t) b + (a >> 1)) / a) - 1;
else
x->act_zbin_adj = 1 - (int) (((int64_t) a + (b >> 1)) / b);
#endif
}
static void encode_superblock(VP9_COMP *cpi, TOKENEXTRA **t, int output_enabled,
int mi_row, int mi_col, BLOCK_SIZE bsize) {
VP9_COMMON * const cm = &cpi->common;
MACROBLOCK * const x = &cpi->mb;
MACROBLOCKD * const xd = &x->e_mbd;
MODE_INFO **mi_8x8 = xd->mi_8x8;
MODE_INFO *mi = mi_8x8[0];
MB_MODE_INFO *mbmi = &mi->mbmi;
PICK_MODE_CONTEXT *ctx = get_block_context(x, bsize);
unsigned int segment_id = mbmi->segment_id;
const int mis = cm->mode_info_stride;
const int mi_width = num_8x8_blocks_wide_lookup[bsize];
const int mi_height = num_8x8_blocks_high_lookup[bsize];
x->skip_recode = !x->select_txfm_size && mbmi->sb_type >= BLOCK_8X8;
x->skip_optimize = ctx->is_coded;
ctx->is_coded = 1;
x->use_lp32x32fdct = cpi->sf.use_lp32x32fdct;
x->skip_encode = (!output_enabled && cpi->sf.skip_encode_frame &&
x->q_index < QIDX_SKIP_THRESH);
if (x->skip_encode)
return;
if (cm->frame_type == KEY_FRAME) {
if (cpi->oxcf.tuning == VP8_TUNE_SSIM) {
adjust_act_zbin(cpi, x);
vp9_update_zbin_extra(cpi, x);
}
} else {
vp9_setup_interp_filters(xd, mbmi->interp_filter, cm);
if (cpi->oxcf.tuning == VP8_TUNE_SSIM) {
// Adjust the zbin based on this MB rate.
adjust_act_zbin(cpi, x);
}
// Experimental code. Special case for gf and arf zeromv modes.
// Increase zbin size to suppress noise
cpi->zbin_mode_boost = 0;
if (cpi->zbin_mode_boost_enabled) {
if (is_inter_block(mbmi)) {
if (mbmi->mode == ZEROMV) {
if (mbmi->ref_frame[0] != LAST_FRAME)
cpi->zbin_mode_boost = GF_ZEROMV_ZBIN_BOOST;
else
cpi->zbin_mode_boost = LF_ZEROMV_ZBIN_BOOST;
} else if (mbmi->sb_type < BLOCK_8X8) {
cpi->zbin_mode_boost = SPLIT_MV_ZBIN_BOOST;
} else {
cpi->zbin_mode_boost = MV_ZBIN_BOOST;
}
} else {
cpi->zbin_mode_boost = INTRA_ZBIN_BOOST;
}
}
vp9_update_zbin_extra(cpi, x);
}
if (!is_inter_block(mbmi)) {
vp9_encode_intra_block_y(x, MAX(bsize, BLOCK_8X8));
vp9_encode_intra_block_uv(x, MAX(bsize, BLOCK_8X8));
if (output_enabled)
sum_intra_stats(cpi, mi);
} else {
int idx = cm->ref_frame_map[get_ref_frame_idx(cpi, mbmi->ref_frame[0])];
YV12_BUFFER_CONFIG *ref_fb = &cm->yv12_fb[idx];
YV12_BUFFER_CONFIG *second_ref_fb = NULL;
if (has_second_ref(mbmi)) {
idx = cm->ref_frame_map[get_ref_frame_idx(cpi, mbmi->ref_frame[1])];
second_ref_fb = &cm->yv12_fb[idx];
}
assert(cm->frame_type != KEY_FRAME);
setup_pre_planes(xd, 0, ref_fb, mi_row, mi_col,
&xd->scale_factor[0]);
setup_pre_planes(xd, 1, second_ref_fb, mi_row, mi_col,
&xd->scale_factor[1]);
vp9_build_inter_predictors_sb(xd, mi_row, mi_col, MAX(bsize, BLOCK_8X8));
}
if (!is_inter_block(mbmi)) {
vp9_tokenize_sb(cpi, t, !output_enabled, MAX(bsize, BLOCK_8X8));
} else if (!x->skip) {
vp9_encode_sb(x, MAX(bsize, BLOCK_8X8));
vp9_tokenize_sb(cpi, t, !output_enabled, MAX(bsize, BLOCK_8X8));
} else {
int mb_skip_context = xd->left_available ? mi_8x8[-1]->mbmi.skip_coeff : 0;
mb_skip_context += mi_8x8[-mis] ? mi_8x8[-mis]->mbmi.skip_coeff : 0;
mbmi->skip_coeff = 1;
if (output_enabled)
cm->counts.mbskip[mb_skip_context][1]++;
reset_skip_context(xd, MAX(bsize, BLOCK_8X8));
}
if (output_enabled) {
if (cm->tx_mode == TX_MODE_SELECT &&
mbmi->sb_type >= BLOCK_8X8 &&
!(is_inter_block(mbmi) &&
(mbmi->skip_coeff ||
vp9_segfeature_active(&cm->seg, segment_id, SEG_LVL_SKIP)))) {
const uint8_t context = vp9_get_pred_context_tx_size(xd);
++get_tx_counts(max_txsize_lookup[bsize],
context, &cm->counts.tx)[mbmi->tx_size];
} else {
int x, y;
TX_SIZE sz = tx_mode_to_biggest_tx_size[cm->tx_mode];
assert(sizeof(tx_mode_to_biggest_tx_size) /
sizeof(tx_mode_to_biggest_tx_size[0]) == TX_MODES);
// The new intra coding scheme requires no change of transform size
if (is_inter_block(&mi->mbmi)) {
if (sz == TX_32X32 && bsize < BLOCK_32X32)
sz = TX_16X16;
if (sz == TX_16X16 && bsize < BLOCK_16X16)
sz = TX_8X8;
if (sz == TX_8X8 && bsize < BLOCK_8X8)
sz = TX_4X4;
} else if (bsize >= BLOCK_8X8) {
sz = mbmi->tx_size;
} else {
sz = TX_4X4;
}
for (y = 0; y < mi_height; y++)
for (x = 0; x < mi_width; x++)
if (mi_col + x < cm->mi_cols && mi_row + y < cm->mi_rows)
mi_8x8[mis * y + x]->mbmi.tx_size = sz;
}
}
}