ed9c66f584
Instead of using the predict buffer, the decoder now writes the predictor into the recon buffer. For blocks with eob=0, unnecessary idcts can be eliminated. This gave a performance boost of ~1.8% for the HD clips used. Tero: Added needed changes to ARM side and scheduled some assembly code to prevent interlocks. Patch Set 6: Merged (I1bcdca7a95aacc3a181b9faa6b10e3a71ee24df3) into this commit because of similarities in the idct functions. Patch Set 7: EC bug fix. Change-Id: Ie31d90b5d3522e1108163f2ac491e455e3f955e6
629 lines
22 KiB
C
629 lines
22 KiB
C
/*
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* Copyright (c) 2011 The WebM project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#include "error_concealment.h"
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#include "onyxd_int.h"
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#include "decodemv.h"
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#include "vpx_mem/vpx_mem.h"
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#include "vp8/common/recon.h"
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#include "vp8/common/findnearmv.h"
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#include <assert.h>
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#define MIN(x,y) (((x)<(y))?(x):(y))
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#define MAX(x,y) (((x)>(y))?(x):(y))
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#define FLOOR(x,q) ((x) & -(1 << (q)))
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#define NUM_NEIGHBORS 20
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typedef struct ec_position
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{
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int row;
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int col;
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} EC_POS;
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/*
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* Regenerate the table in Matlab with:
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* x = meshgrid((1:4), (1:4));
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* y = meshgrid((1:4), (1:4))';
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* W = round((1./(sqrt(x.^2 + y.^2))*2^7));
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* W(1,1) = 0;
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*/
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static const int weights_q7[5][5] = {
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{ 0, 128, 64, 43, 32 },
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{128, 91, 57, 40, 31 },
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{ 64, 57, 45, 36, 29 },
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{ 43, 40, 36, 30, 26 },
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{ 32, 31, 29, 26, 23 }
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};
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int vp8_alloc_overlap_lists(VP8D_COMP *pbi)
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{
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if (pbi->overlaps != NULL)
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{
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vpx_free(pbi->overlaps);
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pbi->overlaps = NULL;
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}
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pbi->overlaps = vpx_calloc(pbi->common.mb_rows * pbi->common.mb_cols,
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sizeof(MB_OVERLAP));
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if (pbi->overlaps == NULL)
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return -1;
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vpx_memset(pbi->overlaps, 0,
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sizeof(MB_OVERLAP) * pbi->common.mb_rows * pbi->common.mb_cols);
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return 0;
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}
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void vp8_de_alloc_overlap_lists(VP8D_COMP *pbi)
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{
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vpx_free(pbi->overlaps);
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pbi->overlaps = NULL;
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}
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/* Inserts a new overlap area value to the list of overlaps of a block */
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static void assign_overlap(OVERLAP_NODE* overlaps,
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union b_mode_info *bmi,
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int overlap)
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{
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int i;
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if (overlap <= 0)
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return;
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/* Find and assign to the next empty overlap node in the list of overlaps.
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* Empty is defined as bmi == NULL */
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for (i = 0; i < MAX_OVERLAPS; i++)
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{
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if (overlaps[i].bmi == NULL)
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{
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overlaps[i].bmi = bmi;
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overlaps[i].overlap = overlap;
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break;
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}
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}
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}
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/* Calculates the overlap area between two 4x4 squares, where the first
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* square has its upper-left corner at (b1_row, b1_col) and the second
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* square has its upper-left corner at (b2_row, b2_col). Doesn't
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* properly handle squares which do not overlap.
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*/
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static int block_overlap(int b1_row, int b1_col, int b2_row, int b2_col)
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{
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const int int_top = MAX(b1_row, b2_row); // top
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const int int_left = MAX(b1_col, b2_col); // left
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/* Since each block is 4x4 pixels, adding 4 (Q3) to the left/top edge
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* gives us the right/bottom edge.
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*/
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const int int_right = MIN(b1_col + (4<<3), b2_col + (4<<3)); // right
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const int int_bottom = MIN(b1_row + (4<<3), b2_row + (4<<3)); // bottom
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return (int_bottom - int_top) * (int_right - int_left);
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}
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/* Calculates the overlap area for all blocks in a macroblock at position
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* (mb_row, mb_col) in macroblocks, which are being overlapped by a given
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* overlapping block at position (new_row, new_col) (in pixels, Q3). The
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* first block being overlapped in the macroblock has position (first_blk_row,
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* first_blk_col) in blocks relative the upper-left corner of the image.
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*/
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static void calculate_overlaps_mb(B_OVERLAP *b_overlaps, union b_mode_info *bmi,
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int new_row, int new_col,
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int mb_row, int mb_col,
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int first_blk_row, int first_blk_col)
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{
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/* Find the blocks within this MB (defined by mb_row, mb_col) which are
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* overlapped by bmi and calculate and assign overlap for each of those
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* blocks. */
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/* Block coordinates relative the upper-left block */
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const int rel_ol_blk_row = first_blk_row - mb_row * 4;
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const int rel_ol_blk_col = first_blk_col - mb_col * 4;
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/* If the block partly overlaps any previous MB, these coordinates
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* can be < 0. We don't want to access blocks in previous MBs.
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*/
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const int blk_idx = MAX(rel_ol_blk_row,0) * 4 + MAX(rel_ol_blk_col,0);
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/* Upper left overlapping block */
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B_OVERLAP *b_ol_ul = &(b_overlaps[blk_idx]);
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/* Calculate and assign overlaps for all blocks in this MB
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* which the motion compensated block overlaps
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*/
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/* Avoid calculating overlaps for blocks in later MBs */
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int end_row = MIN(4 + mb_row * 4 - first_blk_row, 2);
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int end_col = MIN(4 + mb_col * 4 - first_blk_col, 2);
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int row, col;
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/* Check if new_row and new_col are evenly divisible by 4 (Q3),
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* and if so we shouldn't check neighboring blocks
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*/
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if (new_row >= 0 && (new_row & 0x1F) == 0)
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end_row = 1;
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if (new_col >= 0 && (new_col & 0x1F) == 0)
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end_col = 1;
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/* Check if the overlapping block partly overlaps a previous MB
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* and if so, we're overlapping fewer blocks in this MB.
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*/
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if (new_row < (mb_row*16)<<3)
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end_row = 1;
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if (new_col < (mb_col*16)<<3)
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end_col = 1;
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for (row = 0; row < end_row; ++row)
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{
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for (col = 0; col < end_col; ++col)
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{
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/* input in Q3, result in Q6 */
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const int overlap = block_overlap(new_row, new_col,
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(((first_blk_row + row) *
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4) << 3),
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(((first_blk_col + col) *
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4) << 3));
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assign_overlap(b_ol_ul[row * 4 + col].overlaps, bmi, overlap);
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}
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}
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}
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void vp8_calculate_overlaps(MB_OVERLAP *overlap_ul,
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int mb_rows, int mb_cols,
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union b_mode_info *bmi,
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int b_row, int b_col)
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{
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MB_OVERLAP *mb_overlap;
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int row, col, rel_row, rel_col;
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int new_row, new_col;
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int end_row, end_col;
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int overlap_b_row, overlap_b_col;
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int overlap_mb_row, overlap_mb_col;
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/* mb subpixel position */
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row = (4 * b_row) << 3; /* Q3 */
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col = (4 * b_col) << 3; /* Q3 */
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/* reverse compensate for motion */
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new_row = row - bmi->mv.as_mv.row;
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new_col = col - bmi->mv.as_mv.col;
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if (new_row >= ((16*mb_rows) << 3) || new_col >= ((16*mb_cols) << 3))
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{
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/* the new block ended up outside the frame */
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return;
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}
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if (new_row <= (-4 << 3) || new_col <= (-4 << 3))
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{
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/* outside the frame */
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return;
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}
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/* overlapping block's position in blocks */
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overlap_b_row = FLOOR(new_row / 4, 3) >> 3;
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overlap_b_col = FLOOR(new_col / 4, 3) >> 3;
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/* overlapping block's MB position in MBs
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* operations are done in Q3
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*/
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overlap_mb_row = FLOOR((overlap_b_row << 3) / 4, 3) >> 3;
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overlap_mb_col = FLOOR((overlap_b_col << 3) / 4, 3) >> 3;
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end_row = MIN(mb_rows - overlap_mb_row, 2);
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end_col = MIN(mb_cols - overlap_mb_col, 2);
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/* Don't calculate overlap for MBs we don't overlap */
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/* Check if the new block row starts at the last block row of the MB */
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if (abs(new_row - ((16*overlap_mb_row) << 3)) < ((3*4) << 3))
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end_row = 1;
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/* Check if the new block col starts at the last block col of the MB */
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if (abs(new_col - ((16*overlap_mb_col) << 3)) < ((3*4) << 3))
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end_col = 1;
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/* find the MB(s) this block is overlapping */
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for (rel_row = 0; rel_row < end_row; ++rel_row)
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{
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for (rel_col = 0; rel_col < end_col; ++rel_col)
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{
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if (overlap_mb_row + rel_row < 0 ||
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overlap_mb_col + rel_col < 0)
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continue;
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mb_overlap = overlap_ul + (overlap_mb_row + rel_row) * mb_cols +
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overlap_mb_col + rel_col;
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calculate_overlaps_mb(mb_overlap->overlaps, bmi,
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new_row, new_col,
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overlap_mb_row + rel_row,
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overlap_mb_col + rel_col,
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overlap_b_row + rel_row,
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overlap_b_col + rel_col);
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}
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}
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}
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/* Estimates a motion vector given the overlapping blocks' motion vectors.
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* Filters out all overlapping blocks which do not refer to the correct
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* reference frame type.
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*/
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static void estimate_mv(const OVERLAP_NODE *overlaps, union b_mode_info *bmi)
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{
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int i;
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int overlap_sum = 0;
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int row_acc = 0;
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int col_acc = 0;
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bmi->mv.as_int = 0;
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for (i=0; i < MAX_OVERLAPS; ++i)
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{
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if (overlaps[i].bmi == NULL)
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break;
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col_acc += overlaps[i].overlap * overlaps[i].bmi->mv.as_mv.col;
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row_acc += overlaps[i].overlap * overlaps[i].bmi->mv.as_mv.row;
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overlap_sum += overlaps[i].overlap;
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}
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if (overlap_sum > 0)
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{
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/* Q9 / Q6 = Q3 */
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bmi->mv.as_mv.col = col_acc / overlap_sum;
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bmi->mv.as_mv.row = row_acc / overlap_sum;
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}
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else
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{
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bmi->mv.as_mv.col = 0;
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bmi->mv.as_mv.row = 0;
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}
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}
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/* Estimates all motion vectors for a macroblock given the lists of
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* overlaps for each block. Decides whether or not the MVs must be clamped.
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*/
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static void estimate_mb_mvs(const B_OVERLAP *block_overlaps,
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MODE_INFO *mi,
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int mb_to_left_edge,
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int mb_to_right_edge,
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int mb_to_top_edge,
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int mb_to_bottom_edge)
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{
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int row, col;
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int non_zero_count = 0;
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MV * const filtered_mv = &(mi->mbmi.mv.as_mv);
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union b_mode_info * const bmi = mi->bmi;
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filtered_mv->col = 0;
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filtered_mv->row = 0;
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mi->mbmi.need_to_clamp_mvs = 0;
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for (row = 0; row < 4; ++row)
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{
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int this_b_to_top_edge = mb_to_top_edge + ((row*4)<<3);
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int this_b_to_bottom_edge = mb_to_bottom_edge - ((row*4)<<3);
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for (col = 0; col < 4; ++col)
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{
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int i = row * 4 + col;
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int this_b_to_left_edge = mb_to_left_edge + ((col*4)<<3);
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int this_b_to_right_edge = mb_to_right_edge - ((col*4)<<3);
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/* Estimate vectors for all blocks which are overlapped by this */
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/* type. Interpolate/extrapolate the rest of the block's MVs */
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estimate_mv(block_overlaps[i].overlaps, &(bmi[i]));
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mi->mbmi.need_to_clamp_mvs |= vp8_check_mv_bounds(
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&bmi[i].mv,
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this_b_to_left_edge,
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this_b_to_right_edge,
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this_b_to_top_edge,
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this_b_to_bottom_edge);
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if (bmi[i].mv.as_int != 0)
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{
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++non_zero_count;
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filtered_mv->col += bmi[i].mv.as_mv.col;
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filtered_mv->row += bmi[i].mv.as_mv.row;
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}
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}
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}
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if (non_zero_count > 0)
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{
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filtered_mv->col /= non_zero_count;
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filtered_mv->row /= non_zero_count;
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}
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}
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static void calc_prev_mb_overlaps(MB_OVERLAP *overlaps, MODE_INFO *prev_mi,
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int mb_row, int mb_col,
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int mb_rows, int mb_cols)
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{
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int sub_row;
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int sub_col;
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for (sub_row = 0; sub_row < 4; ++sub_row)
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{
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for (sub_col = 0; sub_col < 4; ++sub_col)
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{
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vp8_calculate_overlaps(
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overlaps, mb_rows, mb_cols,
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&(prev_mi->bmi[sub_row * 4 + sub_col]),
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4 * mb_row + sub_row,
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4 * mb_col + sub_col);
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}
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}
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}
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/* Estimate all missing motion vectors. This function does the same as the one
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* above, but has different input arguments. */
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static void estimate_missing_mvs(MB_OVERLAP *overlaps,
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MODE_INFO *mi, MODE_INFO *prev_mi,
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int mb_rows, int mb_cols,
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unsigned int first_corrupt)
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{
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int mb_row, mb_col;
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vpx_memset(overlaps, 0, sizeof(MB_OVERLAP) * mb_rows * mb_cols);
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/* First calculate the overlaps for all blocks */
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for (mb_row = 0; mb_row < mb_rows; ++mb_row)
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{
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for (mb_col = 0; mb_col < mb_cols; ++mb_col)
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{
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/* We're only able to use blocks referring to the last frame
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* when extrapolating new vectors.
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*/
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if (prev_mi->mbmi.ref_frame == LAST_FRAME)
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{
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calc_prev_mb_overlaps(overlaps, prev_mi,
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mb_row, mb_col,
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mb_rows, mb_cols);
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}
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++prev_mi;
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}
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++prev_mi;
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}
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mb_row = first_corrupt / mb_cols;
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mb_col = first_corrupt - mb_row * mb_cols;
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mi += mb_row*(mb_cols + 1) + mb_col;
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/* Go through all macroblocks in the current image with missing MVs
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* and calculate new MVs using the overlaps.
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*/
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for (; mb_row < mb_rows; ++mb_row)
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{
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int mb_to_top_edge = -((mb_row * 16)) << 3;
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int mb_to_bottom_edge = ((mb_rows - 1 - mb_row) * 16) << 3;
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for (; mb_col < mb_cols; ++mb_col)
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{
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int mb_to_left_edge = -((mb_col * 16) << 3);
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int mb_to_right_edge = ((mb_cols - 1 - mb_col) * 16) << 3;
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const B_OVERLAP *block_overlaps =
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overlaps[mb_row*mb_cols + mb_col].overlaps;
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mi->mbmi.ref_frame = LAST_FRAME;
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mi->mbmi.mode = SPLITMV;
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mi->mbmi.uv_mode = DC_PRED;
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mi->mbmi.partitioning = 3;
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mi->mbmi.segment_id = 0;
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estimate_mb_mvs(block_overlaps,
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mi,
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mb_to_left_edge,
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mb_to_right_edge,
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mb_to_top_edge,
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mb_to_bottom_edge);
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++mi;
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}
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mb_col = 0;
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++mi;
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}
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}
|
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|
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void vp8_estimate_missing_mvs(VP8D_COMP *pbi)
|
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{
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VP8_COMMON * const pc = &pbi->common;
|
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estimate_missing_mvs(pbi->overlaps,
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pc->mi, pc->prev_mi,
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pc->mb_rows, pc->mb_cols,
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pbi->mvs_corrupt_from_mb);
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}
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|
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static void assign_neighbor(EC_BLOCK *neighbor, MODE_INFO *mi, int block_idx)
|
|
{
|
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assert(mi->mbmi.ref_frame < MAX_REF_FRAMES);
|
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neighbor->ref_frame = mi->mbmi.ref_frame;
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neighbor->mv = mi->bmi[block_idx].mv.as_mv;
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}
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|
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/* Finds the neighboring blocks of a macroblocks. In the general case
|
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* 20 blocks are found. If a fewer number of blocks are found due to
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* image boundaries, those positions in the EC_BLOCK array are left "empty".
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* The neighbors are enumerated with the upper-left neighbor as the first
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* element, the second element refers to the neighbor to right of the previous
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* neighbor, and so on. The last element refers to the neighbor below the first
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* neighbor.
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*/
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static void find_neighboring_blocks(MODE_INFO *mi,
|
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EC_BLOCK *neighbors,
|
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int mb_row, int mb_col,
|
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int mb_rows, int mb_cols,
|
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int mi_stride)
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{
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int i = 0;
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int j;
|
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if (mb_row > 0)
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{
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/* upper left */
|
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if (mb_col > 0)
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assign_neighbor(&neighbors[i], mi - mi_stride - 1, 15);
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++i;
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/* above */
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for (j = 12; j < 16; ++j, ++i)
|
|
assign_neighbor(&neighbors[i], mi - mi_stride, j);
|
|
}
|
|
else
|
|
i += 5;
|
|
if (mb_col < mb_cols - 1)
|
|
{
|
|
/* upper right */
|
|
if (mb_row > 0)
|
|
assign_neighbor(&neighbors[i], mi - mi_stride + 1, 12);
|
|
++i;
|
|
/* right */
|
|
for (j = 0; j <= 12; j += 4, ++i)
|
|
assign_neighbor(&neighbors[i], mi + 1, j);
|
|
}
|
|
else
|
|
i += 5;
|
|
if (mb_row < mb_rows - 1)
|
|
{
|
|
/* lower right */
|
|
if (mb_col < mb_cols - 1)
|
|
assign_neighbor(&neighbors[i], mi + mi_stride + 1, 0);
|
|
++i;
|
|
/* below */
|
|
for (j = 0; j < 4; ++j, ++i)
|
|
assign_neighbor(&neighbors[i], mi + mi_stride, j);
|
|
}
|
|
else
|
|
i += 5;
|
|
if (mb_col > 0)
|
|
{
|
|
/* lower left */
|
|
if (mb_row < mb_rows - 1)
|
|
assign_neighbor(&neighbors[i], mi + mi_stride - 1, 4);
|
|
++i;
|
|
/* left */
|
|
for (j = 3; j < 16; j += 4, ++i)
|
|
{
|
|
assign_neighbor(&neighbors[i], mi - 1, j);
|
|
}
|
|
}
|
|
else
|
|
i += 5;
|
|
assert(i == 20);
|
|
}
|
|
|
|
/* Calculates which reference frame type is dominating among the neighbors */
|
|
static MV_REFERENCE_FRAME dominant_ref_frame(EC_BLOCK *neighbors)
|
|
{
|
|
/* Default to referring to "skip" */
|
|
MV_REFERENCE_FRAME dom_ref_frame = LAST_FRAME;
|
|
int max_ref_frame_cnt = 0;
|
|
int ref_frame_cnt[MAX_REF_FRAMES] = {0};
|
|
int i;
|
|
/* Count neighboring reference frames */
|
|
for (i = 0; i < NUM_NEIGHBORS; ++i)
|
|
{
|
|
if (neighbors[i].ref_frame < MAX_REF_FRAMES &&
|
|
neighbors[i].ref_frame != INTRA_FRAME)
|
|
++ref_frame_cnt[neighbors[i].ref_frame];
|
|
}
|
|
/* Find maximum */
|
|
for (i = 0; i < MAX_REF_FRAMES; ++i)
|
|
{
|
|
if (ref_frame_cnt[i] > max_ref_frame_cnt)
|
|
{
|
|
dom_ref_frame = i;
|
|
max_ref_frame_cnt = ref_frame_cnt[i];
|
|
}
|
|
}
|
|
return dom_ref_frame;
|
|
}
|
|
|
|
/* Interpolates all motion vectors for a macroblock from the neighboring blocks'
|
|
* motion vectors.
|
|
*/
|
|
static void interpolate_mvs(MACROBLOCKD *mb,
|
|
EC_BLOCK *neighbors,
|
|
MV_REFERENCE_FRAME dom_ref_frame)
|
|
{
|
|
int row, col, i;
|
|
MODE_INFO * const mi = mb->mode_info_context;
|
|
/* Table with the position of the neighboring blocks relative the position
|
|
* of the upper left block of the current MB. Starting with the upper left
|
|
* neighbor and going to the right.
|
|
*/
|
|
const EC_POS neigh_pos[NUM_NEIGHBORS] = {
|
|
{-1,-1}, {-1,0}, {-1,1}, {-1,2}, {-1,3},
|
|
{-1,4}, {0,4}, {1,4}, {2,4}, {3,4},
|
|
{4,4}, {4,3}, {4,2}, {4,1}, {4,0},
|
|
{4,-1}, {3,-1}, {2,-1}, {1,-1}, {0,-1}
|
|
};
|
|
mi->mbmi.need_to_clamp_mvs = 0;
|
|
for (row = 0; row < 4; ++row)
|
|
{
|
|
int mb_to_top_edge = mb->mb_to_top_edge + ((row*4)<<3);
|
|
int mb_to_bottom_edge = mb->mb_to_bottom_edge - ((row*4)<<3);
|
|
for (col = 0; col < 4; ++col)
|
|
{
|
|
int mb_to_left_edge = mb->mb_to_left_edge + ((col*4)<<3);
|
|
int mb_to_right_edge = mb->mb_to_right_edge - ((col*4)<<3);
|
|
int w_sum = 0;
|
|
int mv_row_sum = 0;
|
|
int mv_col_sum = 0;
|
|
int_mv * const mv = &(mi->bmi[row*4 + col].mv);
|
|
mv->as_int = 0;
|
|
for (i = 0; i < NUM_NEIGHBORS; ++i)
|
|
{
|
|
/* Calculate the weighted sum of neighboring MVs referring
|
|
* to the dominant frame type.
|
|
*/
|
|
const int w = weights_q7[abs(row - neigh_pos[i].row)]
|
|
[abs(col - neigh_pos[i].col)];
|
|
if (neighbors[i].ref_frame != dom_ref_frame)
|
|
continue;
|
|
w_sum += w;
|
|
/* Q7 * Q3 = Q10 */
|
|
mv_row_sum += w*neighbors[i].mv.row;
|
|
mv_col_sum += w*neighbors[i].mv.col;
|
|
}
|
|
if (w_sum > 0)
|
|
{
|
|
/* Avoid division by zero.
|
|
* Normalize with the sum of the coefficients
|
|
* Q3 = Q10 / Q7
|
|
*/
|
|
mv->as_mv.row = mv_row_sum / w_sum;
|
|
mv->as_mv.col = mv_col_sum / w_sum;
|
|
mi->mbmi.need_to_clamp_mvs |= vp8_check_mv_bounds(
|
|
mv,
|
|
mb_to_left_edge,
|
|
mb_to_right_edge,
|
|
mb_to_top_edge,
|
|
mb_to_bottom_edge);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
void vp8_interpolate_motion(MACROBLOCKD *mb,
|
|
int mb_row, int mb_col,
|
|
int mb_rows, int mb_cols,
|
|
int mi_stride)
|
|
{
|
|
/* Find relevant neighboring blocks */
|
|
EC_BLOCK neighbors[NUM_NEIGHBORS];
|
|
MV_REFERENCE_FRAME dom_ref_frame;
|
|
int i;
|
|
/* Initialize the array. MAX_REF_FRAMES is interpreted as "doesn't exist" */
|
|
for (i = 0; i < NUM_NEIGHBORS; ++i)
|
|
{
|
|
neighbors[i].ref_frame = MAX_REF_FRAMES;
|
|
neighbors[i].mv.row = neighbors[i].mv.col = 0;
|
|
}
|
|
find_neighboring_blocks(mb->mode_info_context,
|
|
neighbors,
|
|
mb_row, mb_col,
|
|
mb_rows, mb_cols,
|
|
mb->mode_info_stride);
|
|
/* Determine the dominant block type */
|
|
dom_ref_frame = dominant_ref_frame(neighbors);
|
|
/* Interpolate MVs for the missing blocks
|
|
* from the dominating MVs */
|
|
interpolate_mvs(mb, neighbors, dom_ref_frame);
|
|
|
|
mb->mode_info_context->mbmi.ref_frame = dom_ref_frame;
|
|
mb->mode_info_context->mbmi.mode = SPLITMV;
|
|
mb->mode_info_context->mbmi.uv_mode = DC_PRED;
|
|
mb->mode_info_context->mbmi.partitioning = 3;
|
|
mb->mode_info_context->mbmi.segment_id = 0;
|
|
}
|
|
|
|
void vp8_conceal_corrupt_mb(MACROBLOCKD *xd)
|
|
{
|
|
/* This macroblock has corrupt residual, use the motion compensated
|
|
image (predictor) for concealment */
|
|
|
|
/* The build predictor functions now output directly into the dst buffer,
|
|
* so the copies are no longer necessary */
|
|
|
|
}
|