2013-02-20 19:16:24 +01:00
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/*
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2010-09-09 14:16:39 +02:00
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* Copyright (c) 2010 The WebM project authors. All Rights Reserved.
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2010-05-18 17:58:33 +02:00
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*
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2010-06-18 18:39:21 +02:00
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* Use of this source code is governed by a BSD-style license
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2010-06-04 22:19:40 +02:00
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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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2010-06-18 18:39:21 +02:00
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* in the file PATENTS. All contributing project authors may
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2010-06-04 22:19:40 +02:00
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* be found in the AUTHORS file in the root of the source tree.
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2010-05-18 17:58:33 +02:00
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*/
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#include <stdio.h>
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2012-11-28 19:41:40 +01:00
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#include "vp9/common/vp9_entropy.h"
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#include "vp9/common/vp9_blockd.h"
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#include "vp9/common/vp9_onyxc_int.h"
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#include "vp9/common/vp9_entropymode.h"
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2011-08-16 22:21:21 +02:00
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#include "vpx_mem/vpx_mem.h"
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2012-12-19 00:31:19 +01:00
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#include "vpx/vpx_integer.h"
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2012-11-28 19:41:40 +01:00
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#include "vp9/common/vp9_coefupdateprobs.h"
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2010-05-18 17:58:33 +02:00
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2012-10-31 01:12:12 +01:00
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const int vp9_i8x8_block[4] = {0, 2, 8, 10};
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2012-09-10 07:42:35 +02:00
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2012-12-19 00:31:19 +01:00
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DECLARE_ALIGNED(16, const uint8_t, vp9_norm[256]) = {
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2012-07-14 00:21:29 +02:00
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0, 7, 6, 6, 5, 5, 5, 5, 4, 4, 4, 4, 4, 4, 4, 4,
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3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
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2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
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2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
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1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
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1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
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1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
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1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
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2011-07-19 15:17:25 +02:00
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};
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2013-02-11 21:44:53 +01:00
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// Unified coefficient band structure used by all block sizes
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2013-03-25 20:28:24 +01:00
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DECLARE_ALIGNED(16, const int, vp9_coef_bands8x8[64]) = {
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0, 1, 2, 3, 4, 4, 5, 5,
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1, 2, 3, 4, 4, 5, 5, 5,
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2, 3, 4, 4, 5, 5, 5, 5,
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3, 4, 4, 5, 5, 5, 5, 5,
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4, 4, 5, 5, 5, 5, 5, 5,
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4, 5, 5, 5, 5, 5, 5, 5,
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2013-02-19 19:12:00 +01:00
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5, 5, 5, 5, 5, 5, 5, 5,
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5, 5, 5, 5, 5, 5, 5, 5
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};
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DECLARE_ALIGNED(16, const int, vp9_coef_bands4x4[16]) = {
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2013-03-25 20:28:24 +01:00
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0, 1, 2, 3,
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1, 2, 3, 4,
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2, 3, 4, 5,
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3, 4, 5, 5
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2012-07-27 20:29:46 +02:00
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};
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2011-07-19 15:17:25 +02:00
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2013-02-19 19:12:00 +01:00
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DECLARE_ALIGNED(16, const uint8_t, vp9_pt_energy_class[MAX_ENTROPY_TOKENS]) = {
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0, 1, 2, 3, 3, 4, 4, 5, 5, 5, 5, 5
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2012-07-27 20:29:46 +02:00
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};
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2011-07-19 15:17:25 +02:00
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2013-03-25 20:14:01 +01:00
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#if CONFIG_SCATTERSCAN
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DECLARE_ALIGNED(16, const int, vp9_default_zig_zag1d_4x4[16]) = {
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0, 4, 1, 5,
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8, 2, 12, 9,
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3, 6, 13, 10,
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7, 14, 11, 15,
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};
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DECLARE_ALIGNED(16, const int, vp9_col_scan_4x4[16]) = {
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0, 4, 8, 1,
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12, 5, 9, 2,
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13, 6, 10, 3,
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7, 14, 11, 15,
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};
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DECLARE_ALIGNED(16, const int, vp9_row_scan_4x4[16]) = {
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0, 1, 4, 2,
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5, 3, 6, 8,
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9, 7, 12, 10,
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13, 11, 14, 15,
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};
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DECLARE_ALIGNED(64, const int, vp9_default_zig_zag1d_8x8[64]) = {
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0, 8, 1, 16, 9, 2, 17, 24,
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10, 3, 18, 25, 32, 11, 4, 26,
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33, 19, 40, 12, 34, 27, 5, 41,
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20, 48, 13, 35, 42, 28, 21, 6,
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49, 56, 36, 43, 29, 7, 14, 50,
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57, 44, 22, 37, 15, 51, 58, 30,
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45, 23, 52, 59, 38, 31, 60, 53,
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46, 39, 61, 54, 47, 62, 55, 63,
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};
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DECLARE_ALIGNED(16, const int, vp9_col_scan_8x8[64]) = {
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0, 8, 16, 1, 24, 9, 32, 17,
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2, 40, 25, 10, 33, 18, 48, 3,
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26, 41, 11, 56, 19, 34, 4, 49,
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27, 42, 12, 35, 20, 57, 50, 28,
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5, 43, 13, 36, 58, 51, 21, 44,
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6, 29, 59, 37, 14, 52, 22, 7,
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45, 60, 30, 15, 38, 53, 23, 46,
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31, 61, 39, 54, 47, 62, 55, 63,
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};
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DECLARE_ALIGNED(16, const int, vp9_row_scan_8x8[64]) = {
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0, 1, 2, 8, 9, 3, 16, 10,
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4, 17, 11, 24, 5, 18, 25, 12,
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19, 26, 32, 6, 13, 20, 33, 27,
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7, 34, 40, 21, 28, 41, 14, 35,
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48, 42, 29, 36, 49, 22, 43, 15,
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56, 37, 50, 44, 30, 57, 23, 51,
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58, 45, 38, 52, 31, 59, 53, 46,
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60, 39, 61, 47, 54, 55, 62, 63,
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};
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DECLARE_ALIGNED(16, const int, vp9_default_zig_zag1d_16x16[256]) = {
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0, 16, 1, 32, 17, 2, 48, 33, 18, 3, 64, 34, 49, 19, 65, 80,
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50, 4, 35, 66, 20, 81, 96, 51, 5, 36, 82, 97, 67, 112, 21, 52,
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98, 37, 83, 113, 6, 68, 128, 53, 22, 99, 114, 84, 7, 129, 38, 69,
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100, 115, 144, 130, 85, 54, 23, 8, 145, 39, 70, 116, 101, 131, 160, 146,
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55, 86, 24, 71, 132, 117, 161, 40, 9, 102, 147, 176, 162, 87, 56, 25,
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133, 118, 177, 148, 72, 103, 41, 163, 10, 192, 178, 88, 57, 134, 149, 119,
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26, 164, 73, 104, 193, 42, 179, 208, 11, 135, 89, 165, 120, 150, 58, 194,
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180, 27, 74, 209, 105, 151, 136, 43, 90, 224, 166, 195, 181, 121, 210, 59,
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12, 152, 106, 167, 196, 75, 137, 225, 211, 240, 182, 122, 91, 28, 197, 13,
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226, 168, 183, 153, 44, 212, 138, 107, 241, 60, 29, 123, 198, 184, 227, 169,
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242, 76, 213, 154, 45, 92, 14, 199, 139, 61, 228, 214, 170, 185, 243, 108,
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77, 155, 30, 15, 200, 229, 124, 215, 244, 93, 46, 186, 171, 201, 109, 140,
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230, 62, 216, 245, 31, 125, 78, 156, 231, 47, 187, 202, 217, 94, 246, 141,
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63, 232, 172, 110, 247, 157, 79, 218, 203, 126, 233, 188, 248, 95, 173, 142,
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219, 111, 249, 234, 158, 127, 189, 204, 250, 235, 143, 174, 220, 205, 159, 251,
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190, 221, 175, 236, 237, 191, 206, 252, 222, 253, 207, 238, 223, 254, 239, 255,
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};
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DECLARE_ALIGNED(16, const int, vp9_col_scan_16x16[256]) = {
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0, 16, 32, 48, 1, 64, 17, 80, 33, 96, 49, 2, 65, 112, 18, 81,
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34, 128, 50, 97, 3, 66, 144, 19, 113, 35, 82, 160, 98, 51, 129, 4,
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67, 176, 20, 114, 145, 83, 36, 99, 130, 52, 192, 5, 161, 68, 115, 21,
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146, 84, 208, 177, 37, 131, 100, 53, 162, 224, 69, 6, 116, 193, 147, 85,
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22, 240, 132, 38, 178, 101, 163, 54, 209, 117, 70, 7, 148, 194, 86, 179,
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225, 23, 133, 39, 164, 8, 102, 210, 241, 55, 195, 118, 149, 71, 180, 24,
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87, 226, 134, 165, 211, 40, 103, 56, 72, 150, 196, 242, 119, 9, 181, 227,
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88, 166, 25, 135, 41, 104, 212, 57, 151, 197, 120, 73, 243, 182, 136, 167,
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213, 89, 10, 228, 105, 152, 198, 26, 42, 121, 183, 244, 168, 58, 137, 229,
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74, 214, 90, 153, 199, 184, 11, 106, 245, 27, 122, 230, 169, 43, 215, 59,
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200, 138, 185, 246, 75, 12, 91, 154, 216, 231, 107, 28, 44, 201, 123, 170,
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60, 247, 232, 76, 139, 13, 92, 217, 186, 248, 155, 108, 29, 124, 45, 202,
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233, 171, 61, 14, 77, 140, 15, 249, 93, 30, 187, 156, 218, 46, 109, 125,
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62, 172, 78, 203, 31, 141, 234, 94, 47, 188, 63, 157, 110, 250, 219, 79,
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126, 204, 173, 142, 95, 189, 111, 235, 158, 220, 251, 127, 174, 143, 205, 236,
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159, 190, 221, 252, 175, 206, 237, 191, 253, 222, 238, 207, 254, 223, 239, 255,
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};
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DECLARE_ALIGNED(16, const int, vp9_row_scan_16x16[256]) = {
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0, 1, 2, 16, 3, 17, 4, 18, 32, 5, 33, 19, 6, 34, 48, 20,
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49, 7, 35, 21, 50, 64, 8, 36, 65, 22, 51, 37, 80, 9, 66, 52,
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23, 38, 81, 67, 10, 53, 24, 82, 68, 96, 39, 11, 54, 83, 97, 69,
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25, 98, 84, 40, 112, 55, 12, 70, 99, 113, 85, 26, 41, 56, 114, 100,
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13, 71, 128, 86, 27, 115, 101, 129, 42, 57, 72, 116, 14, 87, 130, 102,
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144, 73, 131, 117, 28, 58, 15, 88, 43, 145, 103, 132, 146, 118, 74, 160,
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89, 133, 104, 29, 59, 147, 119, 44, 161, 148, 90, 105, 134, 162, 120, 176,
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75, 135, 149, 30, 60, 163, 177, 45, 121, 91, 106, 164, 178, 150, 192, 136,
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165, 179, 31, 151, 193, 76, 122, 61, 137, 194, 107, 152, 180, 208, 46, 166,
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167, 195, 92, 181, 138, 209, 123, 153, 224, 196, 77, 168, 210, 182, 240, 108,
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197, 62, 154, 225, 183, 169, 211, 47, 139, 93, 184, 226, 212, 241, 198, 170,
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124, 155, 199, 78, 213, 185, 109, 227, 200, 63, 228, 242, 140, 214, 171, 186,
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156, 229, 243, 125, 94, 201, 244, 215, 216, 230, 141, 187, 202, 79, 172, 110,
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157, 245, 217, 231, 95, 246, 232, 126, 203, 247, 233, 173, 218, 142, 111, 158,
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188, 248, 127, 234, 219, 249, 189, 204, 143, 174, 159, 250, 235, 205, 220, 175,
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190, 251, 221, 191, 206, 236, 207, 237, 252, 222, 253, 223, 238, 239, 254, 255,
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};
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DECLARE_ALIGNED(16, const int, vp9_default_zig_zag1d_32x32[1024]) = {
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0, 32, 1, 64, 33, 2, 96, 65, 34, 128, 3, 97, 66, 160, 129, 35, 98, 4, 67, 130, 161, 192, 36, 99, 224, 5, 162, 193, 68, 131, 37, 100,
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225, 194, 256, 163, 69, 132, 6, 226, 257, 288, 195, 101, 164, 38, 258, 7, 227, 289, 133, 320, 70, 196, 165, 290, 259, 228, 39, 321, 102, 352, 8, 197,
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71, 134, 322, 291, 260, 353, 384, 229, 166, 103, 40, 354, 323, 292, 135, 385, 198, 261, 72, 9, 416, 167, 386, 355, 230, 324, 104, 293, 41, 417, 199, 136,
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262, 387, 448, 325, 356, 10, 73, 418, 231, 168, 449, 294, 388, 105, 419, 263, 42, 200, 357, 450, 137, 480, 74, 326, 232, 11, 389, 169, 295, 420, 106, 451,
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481, 358, 264, 327, 201, 43, 138, 512, 482, 390, 296, 233, 170, 421, 75, 452, 359, 12, 513, 265, 483, 328, 107, 202, 514, 544, 422, 391, 453, 139, 44, 234,
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484, 297, 360, 171, 76, 515, 545, 266, 329, 454, 13, 423, 392, 203, 108, 546, 485, 576, 298, 235, 140, 361, 516, 330, 172, 547, 45, 424, 455, 267, 393, 577,
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486, 77, 204, 517, 362, 548, 608, 14, 456, 299, 578, 109, 236, 425, 394, 487, 609, 331, 141, 579, 518, 46, 268, 15, 173, 549, 610, 640, 363, 78, 519, 488,
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300, 205, 16, 457, 580, 426, 550, 395, 110, 237, 611, 641, 332, 672, 142, 642, 269, 458, 47, 581, 427, 489, 174, 364, 520, 612, 551, 673, 79, 206, 301, 643,
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704, 17, 111, 490, 674, 238, 582, 48, 521, 613, 333, 396, 459, 143, 270, 552, 644, 705, 736, 365, 80, 675, 583, 175, 428, 706, 112, 302, 207, 614, 553, 49,
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645, 522, 737, 397, 768, 144, 334, 18, 676, 491, 239, 615, 707, 584, 81, 460, 176, 271, 738, 429, 113, 800, 366, 208, 523, 708, 646, 554, 677, 769, 19, 145,
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585, 739, 240, 303, 50, 461, 616, 398, 647, 335, 492, 177, 82, 770, 832, 555, 272, 430, 678, 209, 709, 114, 740, 801, 617, 51, 304, 679, 524, 367, 586, 241,
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20, 146, 771, 864, 83, 802, 648, 493, 399, 273, 336, 710, 178, 462, 833, 587, 741, 115, 305, 711, 368, 525, 618, 803, 210, 896, 680, 834, 772, 52, 649, 147,
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431, 494, 556, 242, 400, 865, 337, 21, 928, 179, 742, 84, 463, 274, 369, 804, 650, 557, 743, 960, 835, 619, 773, 306, 211, 526, 432, 992, 588, 712, 116, 243,
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866, 495, 681, 558, 805, 589, 401, 897, 53, 338, 148, 682, 867, 464, 275, 22, 370, 433, 307, 620, 527, 836, 774, 651, 713, 744, 85, 180, 621, 465, 929, 775,
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496, 898, 212, 339, 244, 402, 590, 117, 559, 714, 434, 23, 868, 930, 806, 683, 528, 652, 371, 961, 149, 837, 54, 899, 745, 276, 993, 497, 403, 622, 181, 776,
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746, 529, 560, 435, 86, 684, 466, 308, 591, 653, 715, 807, 340, 869, 213, 962, 245, 838, 561, 931, 808, 592, 118, 498, 372, 623, 685, 994, 467, 654, 747, 900,
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716, 277, 150, 55, 24, 404, 530, 839, 777, 655, 182, 963, 840, 686, 778, 309, 870, 341, 87, 499, 809, 624, 593, 436, 717, 932, 214, 246, 995, 718, 625, 373,
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562, 25, 119, 901, 531, 468, 964, 748, 810, 278, 779, 500, 563, 656, 405, 687, 871, 872, 594, 151, 933, 749, 841, 310, 657, 626, 595, 437, 688, 183, 996, 965,
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902, 811, 342, 750, 689, 719, 532, 56, 215, 469, 934, 374, 247, 720, 780, 564, 781, 842, 406, 26, 751, 903, 873, 57, 279, 627, 501, 658, 843, 997, 812, 904,
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88, 813, 438, 752, 935, 936, 311, 596, 533, 690, 343, 966, 874, 89, 120, 470, 721, 875, 659, 782, 565, 998, 375, 844, 845, 27, 628, 967, 121, 905, 968, 152,
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937, 814, 753, 502, 691, 783, 184, 153, 722, 407, 58, 815, 999, 660, 597, 723, 534, 906, 216, 439, 907, 248, 185, 876, 846, 692, 784, 629, 90, 969, 280, 754,
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938, 939, 217, 847, 566, 471, 785, 816, 877, 1000, 249, 878, 661, 503, 312, 970, 755, 122, 817, 281, 344, 786, 598, 724, 28, 59, 29, 154, 535, 630, 376, 1001,
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313, 908, 186, 91, 848, 849, 345, 909, 940, 879, 408, 818, 693, 1002, 971, 941, 567, 377, 218, 756, 910, 787, 440, 123, 880, 725, 662, 250, 819, 1003, 282, 972,
|
|
|
|
850, 599, 472, 409, 155, 441, 942, 757, 788, 694, 911, 881, 314, 631, 973, 504, 187, 1004, 346, 473, 851, 943, 820, 726, 60, 505, 219, 378, 912, 974, 30, 31,
|
|
|
|
536, 882, 1005, 92, 251, 663, 944, 913, 283, 695, 883, 568, 1006, 975, 410, 442, 945, 789, 852, 537, 1007, 124, 315, 61, 758, 821, 600, 914, 976, 569, 474, 347,
|
|
|
|
156, 1008, 915, 93, 977, 506, 946, 727, 379, 884, 188, 632, 601, 1009, 790, 853, 978, 947, 220, 411, 125, 633, 664, 759, 252, 443, 916, 538, 157, 822, 62, 570,
|
|
|
|
979, 284, 1010, 885, 948, 189, 475, 94, 316, 665, 696, 1011, 854, 791, 980, 221, 348, 63, 917, 602, 380, 507, 253, 126, 697, 823, 634, 285, 728, 949, 886, 95,
|
|
|
|
158, 539, 1012, 317, 412, 444, 760, 571, 190, 981, 729, 918, 127, 666, 349, 381, 476, 855, 761, 1013, 603, 222, 159, 698, 950, 508, 254, 792, 286, 635, 887, 793,
|
|
|
|
413, 191, 982, 445, 540, 318, 730, 667, 223, 824, 919, 1014, 350, 477, 572, 255, 825, 951, 762, 509, 604, 856, 382, 699, 287, 319, 636, 983, 794, 414, 541, 731,
|
|
|
|
857, 888, 351, 446, 573, 1015, 668, 889, 478, 826, 383, 763, 605, 920, 510, 637, 415, 700, 921, 858, 447, 952, 542, 795, 479, 953, 732, 890, 669, 574, 511, 984,
|
|
|
|
827, 985, 922, 1016, 764, 606, 543, 701, 859, 638, 1017, 575, 796, 954, 733, 891, 670, 607, 828, 986, 765, 923, 639, 1018, 702, 860, 955, 671, 892, 734, 797, 703,
|
|
|
|
987, 829, 1019, 766, 924, 735, 861, 956, 988, 893, 767, 798, 830, 1020, 925, 957, 799, 862, 831, 989, 894, 1021, 863, 926, 895, 958, 990, 1022, 927, 959, 991, 1023,
|
|
|
|
};
|
|
|
|
#else // CONFIG_SCATTERSCAN
|
2012-12-18 19:49:10 +01:00
|
|
|
DECLARE_ALIGNED(16, const int, vp9_default_zig_zag1d_4x4[16]) = {
|
2012-07-14 00:21:29 +02:00
|
|
|
0, 1, 4, 8,
|
|
|
|
5, 2, 3, 6,
|
|
|
|
9, 12, 13, 10,
|
|
|
|
7, 11, 14, 15,
|
2010-05-18 17:58:33 +02:00
|
|
|
};
|
2012-06-25 21:26:09 +02:00
|
|
|
|
2012-12-18 19:49:10 +01:00
|
|
|
DECLARE_ALIGNED(16, const int, vp9_col_scan_4x4[16]) = {
|
2012-06-25 21:26:09 +02:00
|
|
|
0, 4, 8, 12,
|
|
|
|
1, 5, 9, 13,
|
|
|
|
2, 6, 10, 14,
|
|
|
|
3, 7, 11, 15
|
|
|
|
};
|
2012-11-28 00:51:06 +01:00
|
|
|
|
2012-12-18 19:49:10 +01:00
|
|
|
DECLARE_ALIGNED(16, const int, vp9_row_scan_4x4[16]) = {
|
2012-06-25 21:26:09 +02:00
|
|
|
0, 1, 2, 3,
|
|
|
|
4, 5, 6, 7,
|
|
|
|
8, 9, 10, 11,
|
|
|
|
12, 13, 14, 15
|
|
|
|
};
|
|
|
|
|
2012-10-31 01:12:12 +01:00
|
|
|
DECLARE_ALIGNED(64, const int, vp9_default_zig_zag1d_8x8[64]) = {
|
2012-07-14 00:21:29 +02:00
|
|
|
0, 1, 8, 16, 9, 2, 3, 10, 17, 24, 32, 25, 18, 11, 4, 5,
|
|
|
|
12, 19, 26, 33, 40, 48, 41, 34, 27, 20, 13, 6, 7, 14, 21, 28,
|
|
|
|
35, 42, 49, 56, 57, 50, 43, 36, 29, 22, 15, 23, 30, 37, 44, 51,
|
|
|
|
58, 59, 52, 45, 38, 31, 39, 46, 53, 60, 61, 54, 47, 55, 62, 63,
|
2011-02-14 23:18:18 +01:00
|
|
|
};
|
2010-05-18 17:58:33 +02:00
|
|
|
|
2013-03-25 20:30:00 +01:00
|
|
|
DECLARE_ALIGNED(16, const int, vp9_col_scan_8x8[64]) = {
|
|
|
|
0, 8, 16, 24, 32, 40, 48, 56,
|
|
|
|
1, 9, 17, 25, 33, 41, 49, 57,
|
|
|
|
2, 10, 18, 26, 34, 42, 50, 58,
|
|
|
|
3, 11, 19, 27, 35, 43, 51, 59,
|
|
|
|
4, 12, 20, 28, 36, 44, 52, 60,
|
|
|
|
5, 13, 21, 29, 37, 45, 53, 61,
|
|
|
|
6, 14, 22, 30, 38, 46, 54, 62,
|
|
|
|
7, 15, 23, 31, 39, 47, 55, 63,
|
|
|
|
};
|
|
|
|
|
|
|
|
DECLARE_ALIGNED(16, const int, vp9_row_scan_8x8[64]) = {
|
|
|
|
0, 1, 2, 3, 4, 5, 6, 7,
|
|
|
|
8, 9, 10, 11, 12, 13, 14, 15,
|
|
|
|
16, 17, 18, 19, 20, 21, 22, 23,
|
|
|
|
24, 25, 26, 27, 28, 29, 30, 31,
|
|
|
|
32, 33, 34, 35, 36, 37, 38, 39,
|
|
|
|
40, 41, 42, 43, 44, 45, 46, 47,
|
|
|
|
48, 49, 50, 51, 52, 53, 54, 55,
|
|
|
|
56, 57, 58, 59, 60, 61, 62, 63,
|
|
|
|
};
|
|
|
|
|
2012-10-31 01:12:12 +01:00
|
|
|
DECLARE_ALIGNED(16, const int, vp9_default_zig_zag1d_16x16[256]) = {
|
2012-12-12 02:06:35 +01:00
|
|
|
0, 1, 16, 32, 17, 2, 3, 18,
|
|
|
|
33, 48, 64, 49, 34, 19, 4, 5,
|
|
|
|
20, 35, 50, 65, 80, 96, 81, 66,
|
|
|
|
51, 36, 21, 6, 7, 22, 37, 52,
|
|
|
|
67, 82, 97, 112, 128, 113, 98, 83,
|
|
|
|
68, 53, 38, 23, 8, 9, 24, 39,
|
|
|
|
54, 69, 84, 99, 114, 129, 144, 160,
|
|
|
|
145, 130, 115, 100, 85, 70, 55, 40,
|
|
|
|
25, 10, 11, 26, 41, 56, 71, 86,
|
|
|
|
101, 116, 131, 146, 161, 176, 192, 177,
|
|
|
|
162, 147, 132, 117, 102, 87, 72, 57,
|
2012-11-28 00:51:06 +01:00
|
|
|
42, 27, 12, 13, 28, 43, 58, 73,
|
2012-12-12 02:06:35 +01:00
|
|
|
88, 103, 118, 133, 148, 163, 178, 193,
|
|
|
|
208, 224, 209, 194, 179, 164, 149, 134,
|
|
|
|
119, 104, 89, 74, 59, 44, 29, 14,
|
2012-11-28 00:51:06 +01:00
|
|
|
15, 30, 45, 60, 75, 90, 105, 120,
|
2012-12-12 02:06:35 +01:00
|
|
|
135, 150, 165, 180, 195, 210, 225, 240,
|
|
|
|
241, 226, 211, 196, 181, 166, 151, 136,
|
|
|
|
121, 106, 91, 76, 61, 46, 31, 47,
|
2012-11-28 00:51:06 +01:00
|
|
|
62, 77, 92, 107, 122, 137, 152, 167,
|
2012-12-12 02:06:35 +01:00
|
|
|
182, 197, 212, 227, 242, 243, 228, 213,
|
2012-11-28 00:51:06 +01:00
|
|
|
198, 183, 168, 153, 138, 123, 108, 93,
|
2012-12-12 02:06:35 +01:00
|
|
|
78, 63, 79, 94, 109, 124, 139, 154,
|
|
|
|
169, 184, 199, 214, 229, 244, 245, 230,
|
|
|
|
215, 200, 185, 170, 155, 140, 125, 110,
|
|
|
|
95, 111, 126, 141, 156, 171, 186, 201,
|
|
|
|
216, 231, 246, 247, 232, 217, 202, 187,
|
|
|
|
172, 157, 142, 127, 143, 158, 173, 188,
|
|
|
|
203, 218, 233, 248, 249, 234, 219, 204,
|
|
|
|
189, 174, 159, 175, 190, 205, 220, 235,
|
|
|
|
250, 251, 236, 221, 206, 191, 207, 222,
|
|
|
|
237, 252, 253, 238, 223, 239, 254, 255,
|
2012-08-03 02:03:14 +02:00
|
|
|
};
|
2010-12-10 00:00:30 +01:00
|
|
|
|
2013-03-25 20:30:00 +01:00
|
|
|
DECLARE_ALIGNED(16, const int, vp9_col_scan_16x16[256]) = {
|
|
|
|
0, 16, 32, 48, 64, 80, 96, 112, 128, 144, 160, 176, 192, 208, 224, 240,
|
|
|
|
1, 17, 33, 49, 65, 81, 97, 113, 129, 145, 161, 177, 193, 209, 225, 241,
|
|
|
|
2, 18, 34, 50, 66, 82, 98, 114, 130, 146, 162, 178, 194, 210, 226, 242,
|
|
|
|
3, 19, 35, 51, 67, 83, 99, 115, 131, 147, 163, 179, 195, 211, 227, 243,
|
|
|
|
4, 20, 36, 52, 68, 84, 100, 116, 132, 148, 164, 180, 196, 212, 228, 244,
|
|
|
|
5, 21, 37, 53, 69, 85, 101, 117, 133, 149, 165, 181, 197, 213, 229, 245,
|
|
|
|
6, 22, 38, 54, 70, 86, 102, 118, 134, 150, 166, 182, 198, 214, 230, 246,
|
|
|
|
7, 23, 39, 55, 71, 87, 103, 119, 135, 151, 167, 183, 199, 215, 231, 247,
|
|
|
|
8, 24, 40, 56, 72, 88, 104, 120, 136, 152, 168, 184, 200, 216, 232, 248,
|
|
|
|
9, 25, 41, 57, 73, 89, 105, 121, 137, 153, 169, 185, 201, 217, 233, 249,
|
|
|
|
10, 26, 42, 58, 74, 90, 106, 122, 138, 154, 170, 186, 202, 218, 234, 250,
|
|
|
|
11, 27, 43, 59, 75, 91, 107, 123, 139, 155, 171, 187, 203, 219, 235, 251,
|
|
|
|
12, 28, 44, 60, 76, 92, 108, 124, 140, 156, 172, 188, 204, 220, 236, 252,
|
|
|
|
13, 29, 45, 61, 77, 93, 109, 125, 141, 157, 173, 189, 205, 221, 237, 253,
|
|
|
|
14, 30, 46, 62, 78, 94, 110, 126, 142, 158, 174, 190, 206, 222, 238, 254,
|
|
|
|
15, 31, 47, 63, 79, 95, 111, 127, 143, 159, 175, 191, 207, 223, 239, 255,
|
|
|
|
};
|
|
|
|
|
|
|
|
DECLARE_ALIGNED(16, const int, vp9_row_scan_16x16[256]) = {
|
|
|
|
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
|
|
|
|
16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,
|
|
|
|
32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47,
|
|
|
|
48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63,
|
|
|
|
64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79,
|
|
|
|
80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95,
|
|
|
|
96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,
|
|
|
|
112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127,
|
|
|
|
128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143,
|
|
|
|
144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159,
|
|
|
|
160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175,
|
|
|
|
176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191,
|
|
|
|
192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207,
|
|
|
|
208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223,
|
|
|
|
224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239,
|
|
|
|
240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255,
|
|
|
|
};
|
|
|
|
|
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
|
|
|
DECLARE_ALIGNED(16, const int, vp9_default_zig_zag1d_32x32[1024]) = {
|
|
|
|
0, 1, 32, 64, 33, 2, 3, 34, 65, 96, 128, 97, 66, 35, 4, 5, 36, 67, 98, 129, 160, 192, 161, 130, 99, 68, 37, 6, 7, 38, 69, 100,
|
|
|
|
131, 162, 193, 224, 256, 225, 194, 163, 132, 101, 70, 39, 8, 9, 40, 71, 102, 133, 164, 195, 226, 257, 288, 320, 289, 258, 227, 196, 165, 134, 103, 72,
|
|
|
|
41, 10, 11, 42, 73, 104, 135, 166, 197, 228, 259, 290, 321, 352, 384, 353, 322, 291, 260, 229, 198, 167, 136, 105, 74, 43, 12, 13, 44, 75, 106, 137,
|
|
|
|
168, 199, 230, 261, 292, 323, 354, 385, 416, 448, 417, 386, 355, 324, 293, 262, 231, 200, 169, 138, 107, 76, 45, 14, 15, 46, 77, 108, 139, 170, 201, 232,
|
|
|
|
263, 294, 325, 356, 387, 418, 449, 480, 512, 481, 450, 419, 388, 357, 326, 295, 264, 233, 202, 171, 140, 109, 78, 47, 16, 17, 48, 79, 110, 141, 172, 203,
|
|
|
|
234, 265, 296, 327, 358, 389, 420, 451, 482, 513, 544, 576, 545, 514, 483, 452, 421, 390, 359, 328, 297, 266, 235, 204, 173, 142, 111, 80, 49, 18, 19, 50,
|
|
|
|
81, 112, 143, 174, 205, 236, 267, 298, 329, 360, 391, 422, 453, 484, 515, 546, 577, 608, 640, 609, 578, 547, 516, 485, 454, 423, 392, 361, 330, 299, 268, 237,
|
|
|
|
206, 175, 144, 113, 82, 51, 20, 21, 52, 83, 114, 145, 176, 207, 238, 269, 300, 331, 362, 393, 424, 455, 486, 517, 548, 579, 610, 641, 672, 704, 673, 642,
|
|
|
|
611, 580, 549, 518, 487, 456, 425, 394, 363, 332, 301, 270, 239, 208, 177, 146, 115, 84, 53, 22, 23, 54, 85, 116, 147, 178, 209, 240, 271, 302, 333, 364,
|
|
|
|
395, 426, 457, 488, 519, 550, 581, 612, 643, 674, 705, 736, 768, 737, 706, 675, 644, 613, 582, 551, 520, 489, 458, 427, 396, 365, 334, 303, 272, 241, 210, 179,
|
|
|
|
148, 117, 86, 55, 24, 25, 56, 87, 118, 149, 180, 211, 242, 273, 304, 335, 366, 397, 428, 459, 490, 521, 552, 583, 614, 645, 676, 707, 738, 769, 800, 832,
|
|
|
|
801, 770, 739, 708, 677, 646, 615, 584, 553, 522, 491, 460, 429, 398, 367, 336, 305, 274, 243, 212, 181, 150, 119, 88, 57, 26, 27, 58, 89, 120, 151, 182,
|
|
|
|
213, 244, 275, 306, 337, 368, 399, 430, 461, 492, 523, 554, 585, 616, 647, 678, 709, 740, 771, 802, 833, 864, 896, 865, 834, 803, 772, 741, 710, 679, 648, 617,
|
|
|
|
586, 555, 524, 493, 462, 431, 400, 369, 338, 307, 276, 245, 214, 183, 152, 121, 90, 59, 28, 29, 60, 91, 122, 153, 184, 215, 246, 277, 308, 339, 370, 401,
|
|
|
|
432, 463, 494, 525, 556, 587, 618, 649, 680, 711, 742, 773, 804, 835, 866, 897, 928, 960, 929, 898, 867, 836, 805, 774, 743, 712, 681, 650, 619, 588, 557, 526,
|
|
|
|
495, 464, 433, 402, 371, 340, 309, 278, 247, 216, 185, 154, 123, 92, 61, 30, 31, 62, 93, 124, 155, 186, 217, 248, 279, 310, 341, 372, 403, 434, 465, 496,
|
|
|
|
527, 558, 589, 620, 651, 682, 713, 744, 775, 806, 837, 868, 899, 930, 961, 992, 993, 962, 931, 900, 869, 838, 807, 776, 745, 714, 683, 652, 621, 590, 559, 528,
|
|
|
|
497, 466, 435, 404, 373, 342, 311, 280, 249, 218, 187, 156, 125, 94, 63, 95, 126, 157, 188, 219, 250, 281, 312, 343, 374, 405, 436, 467, 498, 529, 560, 591,
|
|
|
|
622, 653, 684, 715, 746, 777, 808, 839, 870, 901, 932, 963, 994, 995, 964, 933, 902, 871, 840, 809, 778, 747, 716, 685, 654, 623, 592, 561, 530, 499, 468, 437,
|
|
|
|
406, 375, 344, 313, 282, 251, 220, 189, 158, 127, 159, 190, 221, 252, 283, 314, 345, 376, 407, 438, 469, 500, 531, 562, 593, 624, 655, 686, 717, 748, 779, 810,
|
|
|
|
841, 872, 903, 934, 965, 996, 997, 966, 935, 904, 873, 842, 811, 780, 749, 718, 687, 656, 625, 594, 563, 532, 501, 470, 439, 408, 377, 346, 315, 284, 253, 222,
|
|
|
|
191, 223, 254, 285, 316, 347, 378, 409, 440, 471, 502, 533, 564, 595, 626, 657, 688, 719, 750, 781, 812, 843, 874, 905, 936, 967, 998, 999, 968, 937, 906, 875,
|
|
|
|
844, 813, 782, 751, 720, 689, 658, 627, 596, 565, 534, 503, 472, 441, 410, 379, 348, 317, 286, 255, 287, 318, 349, 380, 411, 442, 473, 504, 535, 566, 597, 628,
|
|
|
|
659, 690, 721, 752, 783, 814, 845, 876, 907, 938, 969, 1000, 1001, 970, 939, 908, 877, 846, 815, 784, 753, 722, 691, 660, 629, 598, 567, 536, 505, 474, 443, 412,
|
|
|
|
381, 350, 319, 351, 382, 413, 444, 475, 506, 537, 568, 599, 630, 661, 692, 723, 754, 785, 816, 847, 878, 909, 940, 971, 1002, 1003, 972, 941, 910, 879, 848, 817,
|
|
|
|
786, 755, 724, 693, 662, 631, 600, 569, 538, 507, 476, 445, 414, 383, 415, 446, 477, 508, 539, 570, 601, 632, 663, 694, 725, 756, 787, 818, 849, 880, 911, 942,
|
|
|
|
973, 1004, 1005, 974, 943, 912, 881, 850, 819, 788, 757, 726, 695, 664, 633, 602, 571, 540, 509, 478, 447, 479, 510, 541, 572, 603, 634, 665, 696, 727, 758, 789,
|
|
|
|
820, 851, 882, 913, 944, 975, 1006, 1007, 976, 945, 914, 883, 852, 821, 790, 759, 728, 697, 666, 635, 604, 573, 542, 511, 543, 574, 605, 636, 667, 698, 729, 760,
|
|
|
|
791, 822, 853, 884, 915, 946, 977, 1008, 1009, 978, 947, 916, 885, 854, 823, 792, 761, 730, 699, 668, 637, 606, 575, 607, 638, 669, 700, 731, 762, 793, 824, 855,
|
|
|
|
886, 917, 948, 979, 1010, 1011, 980, 949, 918, 887, 856, 825, 794, 763, 732, 701, 670, 639, 671, 702, 733, 764, 795, 826, 857, 888, 919, 950, 981, 1012, 1013, 982,
|
|
|
|
951, 920, 889, 858, 827, 796, 765, 734, 703, 735, 766, 797, 828, 859, 890, 921, 952, 983, 1014, 1015, 984, 953, 922, 891, 860, 829, 798, 767, 799, 830, 861, 892,
|
|
|
|
923, 954, 985, 1016, 1017, 986, 955, 924, 893, 862, 831, 863, 894, 925, 956, 987, 1018, 1019, 988, 957, 926, 895, 927, 958, 989, 1020, 1021, 990, 959, 991, 1022, 1023,
|
|
|
|
};
|
2013-03-25 20:14:01 +01:00
|
|
|
#endif // CONFIG_SCATTERSCAN
|
2010-05-18 17:58:33 +02:00
|
|
|
|
|
|
|
/* Array indices are identical to previously-existing CONTEXT_NODE indices */
|
|
|
|
|
2012-10-31 22:40:53 +01:00
|
|
|
const vp9_tree_index vp9_coef_tree[ 22] = /* corresponding _CONTEXT_NODEs */
|
2010-05-18 17:58:33 +02:00
|
|
|
{
|
2012-07-14 00:21:29 +02:00
|
|
|
-DCT_EOB_TOKEN, 2, /* 0 = EOB */
|
|
|
|
-ZERO_TOKEN, 4, /* 1 = ZERO */
|
|
|
|
-ONE_TOKEN, 6, /* 2 = ONE */
|
|
|
|
8, 12, /* 3 = LOW_VAL */
|
|
|
|
-TWO_TOKEN, 10, /* 4 = TWO */
|
|
|
|
-THREE_TOKEN, -FOUR_TOKEN, /* 5 = THREE */
|
|
|
|
14, 16, /* 6 = HIGH_LOW */
|
|
|
|
-DCT_VAL_CATEGORY1, -DCT_VAL_CATEGORY2, /* 7 = CAT_ONE */
|
|
|
|
18, 20, /* 8 = CAT_THREEFOUR */
|
|
|
|
-DCT_VAL_CATEGORY3, -DCT_VAL_CATEGORY4, /* 9 = CAT_THREE */
|
|
|
|
-DCT_VAL_CATEGORY5, -DCT_VAL_CATEGORY6 /* 10 = CAT_FIVE */
|
2010-05-18 17:58:33 +02:00
|
|
|
};
|
|
|
|
|
2013-04-11 22:01:52 +02:00
|
|
|
struct vp9_token vp9_coef_encodings[MAX_ENTROPY_TOKENS];
|
2010-05-18 17:58:33 +02:00
|
|
|
|
|
|
|
/* Trees for extra bits. Probabilities are constant and
|
|
|
|
do not depend on previously encoded bits */
|
|
|
|
|
2012-12-18 19:38:12 +01:00
|
|
|
static const vp9_prob Pcat1[] = { 159};
|
|
|
|
static const vp9_prob Pcat2[] = { 165, 145};
|
|
|
|
static const vp9_prob Pcat3[] = { 173, 148, 140};
|
|
|
|
static const vp9_prob Pcat4[] = { 176, 155, 140, 135};
|
|
|
|
static const vp9_prob Pcat5[] = { 180, 157, 141, 134, 130};
|
|
|
|
static const vp9_prob Pcat6[] = {
|
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
|
|
|
254, 254, 254, 252, 249, 243, 230, 196, 177, 153, 140, 133, 130, 129
|
|
|
|
};
|
2010-05-18 17:58:33 +02:00
|
|
|
|
2013-03-13 19:03:17 +01:00
|
|
|
#if CONFIG_MODELCOEFPROB
|
|
|
|
|
2013-03-26 16:34:56 +01:00
|
|
|
#if UNCONSTRAINED_NODES == 2
|
2013-03-13 19:03:17 +01:00
|
|
|
const vp9_prob vp9_modelcoefprobs_gg75[COEFPROB_MODELS][ENTROPY_NODES - 1] = {
|
|
|
|
// Probs generated with a Generalized Gaussian (with shape parameter 0.75)
|
|
|
|
// source model with varying quantizer step size for a uniform quantizer
|
|
|
|
{0, 0, 0, 0, 0, 0, 0, 0, 0, 0,}, // do not use
|
|
|
|
{1, 2, 6, 87, 129, 11, 88, 39, 93, 47,},
|
|
|
|
{2, 4, 11, 88, 130, 21, 89, 68, 98, 79,},
|
|
|
|
{3, 6, 16, 89, 131, 30, 91, 92, 103, 105,},
|
|
|
|
{4, 8, 21, 90, 131, 38, 92, 112, 107, 126,},
|
|
|
|
{5, 10, 26, 90, 132, 46, 94, 129, 111, 143,},
|
|
|
|
{6, 11, 31, 91, 133, 54, 95, 143, 115, 157,},
|
|
|
|
{7, 13, 35, 92, 133, 61, 96, 156, 119, 170,},
|
|
|
|
{8, 15, 40, 93, 134, 68, 97, 167, 123, 180,},
|
|
|
|
{9, 17, 44, 94, 134, 74, 98, 177, 126, 189,},
|
|
|
|
{10, 19, 48, 94, 135, 80, 100, 185, 130, 197,},
|
|
|
|
{11, 20, 52, 95, 135, 86, 101, 192, 133, 204,},
|
|
|
|
{12, 22, 56, 96, 136, 92, 102, 199, 137, 210,},
|
|
|
|
{13, 24, 60, 96, 136, 97, 103, 205, 140, 215,},
|
|
|
|
{14, 26, 64, 97, 137, 103, 104, 210, 143, 219,},
|
|
|
|
{15, 27, 68, 98, 137, 108, 105, 215, 146, 223,},
|
|
|
|
{16, 29, 71, 98, 138, 112, 106, 219, 149, 227,},
|
|
|
|
{17, 31, 75, 99, 138, 117, 107, 223, 152, 230,},
|
|
|
|
{18, 32, 78, 100, 139, 121, 108, 226, 155, 233,},
|
|
|
|
{19, 34, 82, 100, 139, 126, 109, 229, 158, 235,},
|
|
|
|
{20, 36, 85, 101, 140, 130, 110, 231, 161, 238,},
|
|
|
|
{21, 37, 88, 102, 140, 134, 111, 234, 164, 239,},
|
|
|
|
{22, 39, 91, 102, 141, 138, 112, 236, 167, 241,},
|
|
|
|
{23, 40, 94, 103, 141, 141, 113, 238, 169, 243,},
|
|
|
|
{24, 42, 97, 104, 142, 145, 114, 240, 172, 244,},
|
|
|
|
{25, 44, 100, 104, 142, 149, 115, 241, 174, 245,},
|
|
|
|
{26, 45, 103, 105, 143, 152, 116, 243, 177, 246,},
|
|
|
|
{27, 47, 106, 105, 143, 155, 117, 244, 179, 247,},
|
|
|
|
{28, 48, 109, 106, 143, 158, 118, 245, 182, 248,},
|
|
|
|
{29, 50, 112, 107, 144, 161, 119, 246, 184, 249,},
|
|
|
|
{30, 52, 115, 107, 144, 164, 120, 247, 186, 250,},
|
|
|
|
{31, 53, 117, 108, 145, 167, 121, 248, 188, 250,},
|
|
|
|
{32, 55, 120, 109, 145, 170, 122, 249, 190, 251,},
|
|
|
|
{33, 56, 122, 109, 146, 173, 123, 249, 192, 252,},
|
|
|
|
{34, 58, 125, 110, 146, 175, 124, 250, 194, 252,},
|
|
|
|
{35, 59, 127, 110, 147, 178, 125, 251, 196, 252,},
|
|
|
|
{36, 61, 130, 111, 147, 180, 126, 251, 198, 253,},
|
|
|
|
{37, 62, 132, 112, 147, 183, 127, 251, 200, 253,},
|
|
|
|
{38, 64, 135, 112, 148, 185, 128, 252, 202, 253,},
|
|
|
|
{39, 65, 137, 113, 148, 187, 129, 252, 204, 254,},
|
|
|
|
{40, 67, 139, 114, 149, 189, 130, 253, 205, 254,},
|
|
|
|
{41, 68, 141, 114, 149, 191, 131, 253, 207, 254,},
|
|
|
|
{42, 70, 144, 115, 150, 193, 132, 253, 209, 254,},
|
|
|
|
{43, 71, 146, 115, 150, 195, 133, 254, 210, 254,},
|
|
|
|
{44, 72, 148, 116, 151, 197, 134, 254, 212, 255,},
|
|
|
|
{45, 74, 150, 117, 151, 199, 135, 254, 213, 255,},
|
|
|
|
{46, 75, 152, 117, 151, 201, 136, 254, 215, 255,},
|
|
|
|
{47, 77, 154, 118, 152, 202, 137, 254, 216, 255,},
|
|
|
|
{48, 78, 156, 119, 152, 204, 138, 254, 217, 255,},
|
|
|
|
{49, 80, 158, 119, 153, 206, 139, 255, 219, 255,},
|
|
|
|
{50, 81, 160, 120, 153, 207, 140, 255, 220, 255,},
|
|
|
|
{51, 82, 162, 120, 154, 209, 141, 255, 221, 255,},
|
|
|
|
{52, 84, 164, 121, 154, 210, 142, 255, 222, 255,},
|
|
|
|
{53, 85, 165, 122, 155, 212, 143, 255, 224, 255,},
|
|
|
|
{54, 87, 167, 122, 155, 213, 144, 255, 225, 255,},
|
|
|
|
{55, 88, 169, 123, 155, 215, 145, 255, 226, 255,},
|
|
|
|
{56, 89, 171, 124, 156, 216, 146, 255, 227, 255,},
|
|
|
|
{57, 91, 172, 124, 156, 217, 146, 255, 228, 255,},
|
|
|
|
{58, 92, 174, 125, 157, 218, 147, 255, 229, 255,},
|
|
|
|
{59, 93, 176, 126, 157, 220, 148, 255, 230, 255,},
|
|
|
|
{60, 95, 177, 126, 158, 221, 149, 255, 231, 255,},
|
|
|
|
{61, 96, 179, 127, 158, 222, 150, 255, 232, 255,},
|
|
|
|
{62, 97, 180, 127, 159, 223, 151, 255, 232, 255,},
|
|
|
|
{63, 99, 182, 128, 159, 224, 152, 255, 233, 255,},
|
|
|
|
{64, 100, 183, 129, 159, 225, 153, 255, 234, 255,},
|
|
|
|
{65, 101, 185, 129, 160, 226, 154, 255, 235, 255,},
|
|
|
|
{66, 103, 186, 130, 160, 227, 155, 255, 236, 255,},
|
|
|
|
{67, 104, 188, 131, 161, 228, 156, 255, 236, 255,},
|
|
|
|
{68, 105, 189, 131, 161, 229, 157, 255, 237, 255,},
|
|
|
|
{69, 106, 190, 132, 162, 230, 158, 255, 238, 255,},
|
|
|
|
{70, 108, 192, 133, 162, 231, 159, 255, 238, 255,},
|
|
|
|
{71, 109, 193, 133, 162, 231, 159, 255, 239, 255,},
|
|
|
|
{72, 110, 194, 134, 163, 232, 160, 255, 240, 255,},
|
|
|
|
{73, 111, 196, 134, 163, 233, 161, 255, 240, 255,},
|
|
|
|
{74, 113, 197, 135, 164, 234, 162, 255, 241, 255,},
|
|
|
|
{75, 114, 198, 136, 164, 235, 163, 255, 241, 255,},
|
|
|
|
{76, 115, 199, 136, 165, 235, 164, 255, 242, 255,},
|
|
|
|
{77, 116, 200, 137, 165, 236, 165, 255, 243, 255,},
|
|
|
|
{78, 118, 202, 138, 166, 237, 166, 255, 243, 255,},
|
|
|
|
{79, 119, 203, 138, 166, 237, 167, 255, 244, 255,},
|
|
|
|
{80, 120, 204, 139, 167, 238, 168, 255, 244, 255,},
|
|
|
|
{81, 121, 205, 140, 167, 239, 168, 255, 244, 255,},
|
|
|
|
{82, 123, 206, 140, 167, 239, 169, 255, 245, 255,},
|
|
|
|
{83, 124, 207, 141, 168, 240, 170, 255, 245, 255,},
|
|
|
|
{84, 125, 208, 142, 168, 240, 171, 255, 246, 255,},
|
|
|
|
{85, 126, 209, 142, 169, 241, 172, 255, 246, 255,},
|
|
|
|
{86, 127, 210, 143, 169, 241, 173, 255, 247, 255,},
|
|
|
|
{87, 129, 211, 144, 170, 242, 174, 255, 247, 255,},
|
|
|
|
{88, 130, 212, 144, 170, 242, 175, 255, 247, 255,},
|
|
|
|
{89, 131, 213, 145, 171, 243, 175, 255, 248, 255,},
|
|
|
|
{90, 132, 214, 146, 171, 243, 176, 255, 248, 255,},
|
|
|
|
{91, 133, 215, 146, 171, 244, 177, 255, 248, 255,},
|
|
|
|
{92, 134, 216, 147, 172, 244, 178, 255, 249, 255,},
|
|
|
|
{93, 136, 217, 148, 172, 245, 179, 255, 249, 255,},
|
|
|
|
{94, 137, 218, 148, 173, 245, 180, 255, 249, 255,},
|
|
|
|
{95, 138, 219, 149, 173, 245, 181, 255, 249, 255,},
|
|
|
|
{96, 139, 220, 150, 174, 246, 181, 255, 250, 255,},
|
|
|
|
{97, 140, 220, 150, 174, 246, 182, 255, 250, 255,},
|
|
|
|
{98, 141, 221, 151, 175, 247, 183, 255, 250, 255,},
|
|
|
|
{99, 142, 222, 152, 175, 247, 184, 255, 250, 255,},
|
|
|
|
{100, 144, 223, 152, 176, 247, 185, 255, 251, 255,},
|
|
|
|
{101, 145, 224, 153, 176, 248, 186, 255, 251, 255,},
|
|
|
|
{102, 146, 224, 154, 177, 248, 186, 255, 251, 255,},
|
|
|
|
{103, 147, 225, 154, 177, 248, 187, 255, 251, 255,},
|
|
|
|
{104, 148, 226, 155, 177, 248, 188, 255, 252, 255,},
|
|
|
|
{105, 149, 226, 156, 178, 249, 189, 255, 252, 255,},
|
|
|
|
{106, 150, 227, 156, 178, 249, 190, 255, 252, 255,},
|
|
|
|
{107, 151, 228, 157, 179, 249, 191, 255, 252, 255,},
|
|
|
|
{108, 152, 229, 158, 179, 250, 191, 255, 252, 255,},
|
|
|
|
{109, 153, 229, 158, 180, 250, 192, 255, 252, 255,},
|
|
|
|
{110, 154, 230, 159, 180, 250, 193, 255, 253, 255,},
|
|
|
|
{111, 155, 231, 160, 181, 250, 194, 255, 253, 255,},
|
|
|
|
{112, 157, 231, 160, 181, 251, 195, 255, 253, 255,},
|
|
|
|
{113, 158, 232, 161, 182, 251, 195, 255, 253, 255,},
|
|
|
|
{114, 159, 232, 162, 182, 251, 196, 255, 253, 255,},
|
|
|
|
{115, 160, 233, 162, 183, 251, 197, 255, 253, 255,},
|
|
|
|
{116, 161, 234, 163, 183, 251, 198, 255, 253, 255,},
|
|
|
|
{117, 162, 234, 164, 184, 252, 198, 255, 254, 255,},
|
|
|
|
{118, 163, 235, 165, 184, 252, 199, 255, 254, 255,},
|
|
|
|
{119, 164, 235, 165, 185, 252, 200, 255, 254, 255,},
|
|
|
|
{120, 165, 236, 166, 185, 252, 201, 255, 254, 255,},
|
|
|
|
{121, 166, 236, 167, 186, 252, 201, 255, 254, 255,},
|
|
|
|
{122, 167, 237, 167, 186, 252, 202, 255, 254, 255,},
|
|
|
|
{123, 168, 237, 168, 186, 253, 203, 255, 254, 255,},
|
|
|
|
{124, 169, 238, 169, 187, 253, 204, 255, 254, 255,},
|
|
|
|
{125, 170, 238, 169, 187, 253, 204, 255, 254, 255,},
|
|
|
|
{126, 171, 239, 170, 188, 253, 205, 255, 254, 255,},
|
|
|
|
{127, 172, 239, 171, 188, 253, 206, 255, 254, 255,},
|
|
|
|
{128, 173, 240, 171, 189, 253, 207, 255, 255, 255,},
|
|
|
|
{129, 174, 240, 172, 189, 253, 207, 255, 255, 255,},
|
|
|
|
{130, 175, 241, 173, 190, 253, 208, 255, 255, 255,},
|
|
|
|
{131, 176, 241, 174, 190, 254, 209, 255, 255, 255,},
|
|
|
|
{132, 177, 241, 174, 191, 254, 209, 255, 255, 255,},
|
|
|
|
{133, 178, 242, 175, 191, 254, 210, 255, 255, 255,},
|
|
|
|
{134, 179, 242, 176, 192, 254, 211, 255, 255, 255,},
|
|
|
|
{135, 180, 243, 176, 192, 254, 212, 255, 255, 255,},
|
|
|
|
{136, 180, 243, 177, 193, 254, 212, 255, 255, 255,},
|
|
|
|
{137, 181, 243, 178, 193, 254, 213, 255, 255, 255,},
|
|
|
|
{138, 182, 244, 179, 194, 254, 214, 255, 255, 255,},
|
|
|
|
{139, 183, 244, 179, 194, 254, 214, 255, 255, 255,},
|
|
|
|
{140, 184, 244, 180, 195, 254, 215, 255, 255, 255,},
|
|
|
|
{141, 185, 245, 181, 195, 254, 216, 255, 255, 255,},
|
|
|
|
{142, 186, 245, 181, 196, 255, 216, 255, 255, 255,},
|
|
|
|
{143, 187, 245, 182, 196, 255, 217, 255, 255, 255,},
|
|
|
|
{144, 188, 246, 183, 197, 255, 218, 255, 255, 255,},
|
|
|
|
{145, 189, 246, 183, 197, 255, 218, 255, 255, 255,},
|
|
|
|
{146, 190, 246, 184, 198, 255, 219, 255, 255, 255,},
|
|
|
|
{147, 191, 247, 185, 198, 255, 220, 255, 255, 255,},
|
|
|
|
{148, 191, 247, 186, 199, 255, 220, 255, 255, 255,},
|
|
|
|
{149, 192, 247, 186, 199, 255, 221, 255, 255, 255,},
|
|
|
|
{150, 193, 248, 187, 200, 255, 221, 255, 255, 255,},
|
|
|
|
{151, 194, 248, 188, 200, 255, 222, 255, 255, 255,},
|
|
|
|
{152, 195, 248, 188, 201, 255, 223, 255, 255, 255,},
|
|
|
|
{153, 196, 248, 189, 201, 255, 223, 255, 255, 255,},
|
|
|
|
{154, 197, 249, 190, 202, 255, 224, 255, 255, 255,},
|
|
|
|
{155, 198, 249, 191, 202, 255, 224, 255, 255, 255,},
|
|
|
|
{156, 198, 249, 191, 203, 255, 225, 255, 255, 255,},
|
|
|
|
{157, 199, 249, 192, 203, 255, 226, 255, 255, 255,},
|
|
|
|
{158, 200, 250, 193, 204, 255, 226, 255, 255, 255,},
|
|
|
|
{159, 201, 250, 193, 204, 255, 227, 255, 255, 255,},
|
|
|
|
{160, 202, 250, 194, 205, 255, 227, 255, 255, 255,},
|
|
|
|
{161, 203, 250, 195, 206, 255, 228, 255, 255, 255,},
|
|
|
|
{162, 203, 250, 196, 206, 255, 228, 255, 255, 255,},
|
|
|
|
{163, 204, 251, 196, 207, 255, 229, 255, 255, 255,},
|
|
|
|
{164, 205, 251, 197, 207, 255, 229, 255, 255, 255,},
|
|
|
|
{165, 206, 251, 198, 208, 255, 230, 255, 255, 255,},
|
|
|
|
{166, 207, 251, 198, 208, 255, 231, 255, 255, 255,},
|
|
|
|
{167, 207, 251, 199, 209, 255, 231, 255, 255, 255,},
|
|
|
|
{168, 208, 252, 200, 209, 255, 232, 255, 255, 255,},
|
|
|
|
{169, 209, 252, 201, 210, 255, 232, 255, 255, 255,},
|
|
|
|
{170, 210, 252, 201, 210, 255, 233, 255, 255, 255,},
|
|
|
|
{171, 211, 252, 202, 211, 255, 233, 255, 255, 255,},
|
|
|
|
{172, 211, 252, 203, 211, 255, 234, 255, 255, 255,},
|
|
|
|
{173, 212, 252, 203, 212, 255, 234, 255, 255, 255,},
|
|
|
|
{174, 213, 252, 204, 212, 255, 235, 255, 255, 255,},
|
|
|
|
{175, 214, 253, 205, 213, 255, 235, 255, 255, 255,},
|
|
|
|
{176, 214, 253, 206, 213, 255, 236, 255, 255, 255,},
|
|
|
|
{177, 215, 253, 206, 214, 255, 236, 255, 255, 255,},
|
|
|
|
{178, 216, 253, 207, 214, 255, 237, 255, 255, 255,},
|
|
|
|
{179, 217, 253, 208, 215, 255, 237, 255, 255, 255,},
|
|
|
|
{180, 217, 253, 208, 216, 255, 237, 255, 255, 255,},
|
|
|
|
{181, 218, 253, 209, 216, 255, 238, 255, 255, 255,},
|
|
|
|
{182, 219, 254, 210, 217, 255, 238, 255, 255, 255,},
|
|
|
|
{183, 220, 254, 211, 217, 255, 239, 255, 255, 255,},
|
|
|
|
{184, 220, 254, 211, 218, 255, 239, 255, 255, 255,},
|
|
|
|
{185, 221, 254, 212, 218, 255, 240, 255, 255, 255,},
|
|
|
|
{186, 222, 254, 213, 219, 255, 240, 255, 255, 255,},
|
|
|
|
{187, 222, 254, 213, 219, 255, 241, 255, 255, 255,},
|
|
|
|
{188, 223, 254, 214, 220, 255, 241, 255, 255, 255,},
|
|
|
|
{189, 224, 254, 215, 220, 255, 241, 255, 255, 255,},
|
|
|
|
{190, 225, 254, 215, 221, 255, 242, 255, 255, 255,},
|
|
|
|
{191, 225, 254, 216, 221, 255, 242, 255, 255, 255,},
|
|
|
|
{192, 226, 254, 217, 222, 255, 243, 255, 255, 255,},
|
|
|
|
{193, 227, 255, 218, 223, 255, 243, 255, 255, 255,},
|
|
|
|
{194, 227, 255, 218, 223, 255, 243, 255, 255, 255,},
|
|
|
|
{195, 228, 255, 219, 224, 255, 244, 255, 255, 255,},
|
|
|
|
{196, 229, 255, 220, 224, 255, 244, 255, 255, 255,},
|
|
|
|
{197, 229, 255, 220, 225, 255, 244, 255, 255, 255,},
|
|
|
|
{198, 230, 255, 221, 225, 255, 245, 255, 255, 255,},
|
|
|
|
{199, 230, 255, 222, 226, 255, 245, 255, 255, 255,},
|
|
|
|
{200, 231, 255, 222, 226, 255, 246, 255, 255, 255,},
|
|
|
|
{201, 232, 255, 223, 227, 255, 246, 255, 255, 255,},
|
|
|
|
{202, 232, 255, 224, 228, 255, 246, 255, 255, 255,},
|
|
|
|
{203, 233, 255, 224, 228, 255, 247, 255, 255, 255,},
|
|
|
|
{204, 234, 255, 225, 229, 255, 247, 255, 255, 255,},
|
|
|
|
{205, 234, 255, 226, 229, 255, 247, 255, 255, 255,},
|
|
|
|
{206, 235, 255, 227, 230, 255, 248, 255, 255, 255,},
|
|
|
|
{207, 235, 255, 227, 230, 255, 248, 255, 255, 255,},
|
|
|
|
{208, 236, 255, 228, 231, 255, 248, 255, 255, 255,},
|
|
|
|
{209, 237, 255, 229, 231, 255, 248, 255, 255, 255,},
|
|
|
|
{210, 237, 255, 229, 232, 255, 249, 255, 255, 255,},
|
|
|
|
{211, 238, 255, 230, 233, 255, 249, 255, 255, 255,},
|
|
|
|
{212, 238, 255, 231, 233, 255, 249, 255, 255, 255,},
|
|
|
|
{213, 239, 255, 231, 234, 255, 250, 255, 255, 255,},
|
|
|
|
{214, 239, 255, 232, 234, 255, 250, 255, 255, 255,},
|
|
|
|
{215, 240, 255, 233, 235, 255, 250, 255, 255, 255,},
|
|
|
|
{216, 241, 255, 233, 235, 255, 250, 255, 255, 255,},
|
|
|
|
{217, 241, 255, 234, 236, 255, 251, 255, 255, 255,},
|
|
|
|
{218, 242, 255, 235, 236, 255, 251, 255, 255, 255,},
|
|
|
|
{219, 242, 255, 235, 237, 255, 251, 255, 255, 255,},
|
|
|
|
{220, 243, 255, 236, 237, 255, 251, 255, 255, 255,},
|
|
|
|
{221, 243, 255, 236, 238, 255, 252, 255, 255, 255,},
|
|
|
|
{222, 244, 255, 237, 239, 255, 252, 255, 255, 255,},
|
|
|
|
{223, 244, 255, 238, 239, 255, 252, 255, 255, 255,},
|
|
|
|
{224, 245, 255, 238, 240, 255, 252, 255, 255, 255,},
|
|
|
|
{225, 245, 255, 239, 240, 255, 252, 255, 255, 255,},
|
|
|
|
{226, 246, 255, 240, 241, 255, 253, 255, 255, 255,},
|
|
|
|
{227, 246, 255, 240, 241, 255, 253, 255, 255, 255,},
|
|
|
|
{228, 247, 255, 241, 242, 255, 253, 255, 255, 255,},
|
|
|
|
{229, 247, 255, 242, 242, 255, 253, 255, 255, 255,},
|
|
|
|
{230, 248, 255, 242, 243, 255, 253, 255, 255, 255,},
|
|
|
|
{231, 248, 255, 243, 244, 255, 254, 255, 255, 255,},
|
|
|
|
{232, 248, 255, 243, 244, 255, 254, 255, 255, 255,},
|
|
|
|
{233, 249, 255, 244, 245, 255, 254, 255, 255, 255,},
|
|
|
|
{234, 249, 255, 245, 245, 255, 254, 255, 255, 255,},
|
|
|
|
{235, 250, 255, 245, 246, 255, 254, 255, 255, 255,},
|
|
|
|
{236, 250, 255, 246, 246, 255, 254, 255, 255, 255,},
|
|
|
|
{237, 251, 255, 246, 247, 255, 255, 255, 255, 255,},
|
|
|
|
{238, 251, 255, 247, 247, 255, 255, 255, 255, 255,},
|
|
|
|
{239, 251, 255, 248, 248, 255, 255, 255, 255, 255,},
|
|
|
|
{240, 252, 255, 248, 248, 255, 255, 255, 255, 255,},
|
|
|
|
{241, 252, 255, 249, 249, 255, 255, 255, 255, 255,},
|
|
|
|
{242, 252, 255, 249, 249, 255, 255, 255, 255, 255,},
|
|
|
|
{243, 253, 255, 250, 250, 255, 255, 255, 255, 255,},
|
|
|
|
{244, 253, 255, 250, 250, 255, 255, 255, 255, 255,},
|
|
|
|
{245, 253, 255, 251, 251, 255, 255, 255, 255, 255,},
|
|
|
|
{246, 254, 255, 251, 251, 255, 255, 255, 255, 255,},
|
|
|
|
{247, 254, 255, 252, 252, 255, 255, 255, 255, 255,},
|
|
|
|
{248, 254, 255, 252, 252, 255, 255, 255, 255, 255,},
|
|
|
|
{249, 255, 255, 253, 253, 255, 255, 255, 255, 255,},
|
|
|
|
{250, 255, 255, 253, 253, 255, 255, 255, 255, 255,},
|
|
|
|
{251, 255, 255, 254, 254, 255, 255, 255, 255, 255,},
|
|
|
|
{252, 255, 255, 254, 254, 255, 255, 255, 255, 255,},
|
|
|
|
{253, 255, 255, 255, 255, 255, 255, 255, 255, 255,},
|
|
|
|
{254, 255, 255, 255, 255, 255, 255, 255, 255, 255,},
|
|
|
|
{255, 255, 255, 255, 255, 255, 255, 255, 255, 255,}
|
|
|
|
};
|
|
|
|
|
|
|
|
const vp9_prob vp9_modelcoefprobs_gg625[COEFPROB_MODELS][ENTROPY_NODES - 1] = {
|
|
|
|
// Probs generated with a Generalized Gaussian (with shape parameter 0.625)
|
|
|
|
// source model with varying quantizer step size for a uniform quantizer
|
|
|
|
{0, 0, 0, 0, 0, 0, 0, 0, 0, 0,}, // do not use
|
|
|
|
{1, 2, 6, 88, 130, 10, 88, 35, 94, 40,},
|
|
|
|
{2, 4, 11, 89, 131, 19, 90, 60, 99, 67,},
|
|
|
|
{3, 6, 15, 90, 132, 27, 92, 80, 103, 88,},
|
|
|
|
{4, 7, 20, 91, 132, 34, 93, 97, 107, 105,},
|
|
|
|
{5, 9, 24, 92, 133, 41, 94, 112, 110, 120,},
|
|
|
|
{6, 11, 28, 93, 134, 48, 95, 125, 113, 132,},
|
|
|
|
{7, 13, 33, 93, 134, 54, 97, 136, 116, 143,},
|
|
|
|
{8, 14, 36, 94, 135, 60, 98, 146, 119, 152,},
|
|
|
|
{9, 16, 40, 95, 135, 65, 99, 155, 122, 161,},
|
|
|
|
{10, 18, 44, 95, 136, 70, 100, 163, 125, 168,},
|
|
|
|
{11, 19, 48, 96, 136, 75, 101, 170, 127, 175,},
|
|
|
|
{12, 21, 51, 97, 137, 80, 102, 176, 130, 181,},
|
|
|
|
{13, 23, 55, 97, 137, 85, 102, 182, 132, 187,},
|
|
|
|
{14, 24, 58, 98, 138, 89, 103, 188, 135, 192,},
|
|
|
|
{15, 26, 61, 99, 138, 94, 104, 193, 137, 196,},
|
|
|
|
{16, 27, 64, 99, 139, 98, 105, 197, 140, 201,},
|
|
|
|
{17, 29, 67, 100, 139, 102, 106, 201, 142, 205,},
|
|
|
|
{18, 30, 70, 101, 140, 106, 107, 205, 144, 208,},
|
|
|
|
{19, 32, 73, 101, 140, 109, 108, 209, 146, 211,},
|
|
|
|
{20, 34, 76, 102, 140, 113, 109, 212, 148, 214,},
|
|
|
|
{21, 35, 79, 102, 141, 116, 109, 215, 151, 217,},
|
|
|
|
{22, 37, 82, 103, 141, 120, 110, 218, 153, 220,},
|
|
|
|
{23, 38, 85, 103, 142, 123, 111, 220, 155, 222,},
|
|
|
|
{24, 40, 87, 104, 142, 126, 112, 223, 157, 224,},
|
|
|
|
{25, 41, 90, 105, 143, 129, 113, 225, 159, 226,},
|
|
|
|
{26, 42, 93, 105, 143, 132, 113, 227, 161, 228,},
|
|
|
|
{27, 44, 95, 106, 143, 135, 114, 229, 162, 230,},
|
|
|
|
{28, 45, 98, 106, 144, 138, 115, 230, 164, 232,},
|
|
|
|
{29, 47, 100, 107, 144, 141, 116, 232, 166, 233,},
|
|
|
|
{30, 48, 103, 107, 145, 144, 117, 234, 168, 235,},
|
|
|
|
{31, 50, 105, 108, 145, 146, 117, 235, 170, 236,},
|
|
|
|
{32, 51, 107, 108, 145, 149, 118, 236, 171, 237,},
|
|
|
|
{33, 52, 110, 109, 146, 151, 119, 238, 173, 238,},
|
|
|
|
{34, 54, 112, 110, 146, 154, 120, 239, 175, 239,},
|
|
|
|
{35, 55, 114, 110, 147, 156, 120, 240, 176, 240,},
|
|
|
|
{36, 57, 116, 111, 147, 158, 121, 241, 178, 241,},
|
|
|
|
{37, 58, 119, 111, 147, 161, 122, 242, 180, 242,},
|
|
|
|
{38, 59, 121, 112, 148, 163, 123, 243, 181, 243,},
|
|
|
|
{39, 61, 123, 112, 148, 165, 123, 244, 183, 244,},
|
|
|
|
{40, 62, 125, 113, 148, 167, 124, 244, 184, 245,},
|
|
|
|
{41, 63, 127, 113, 149, 169, 125, 245, 186, 245,},
|
|
|
|
{42, 65, 129, 114, 149, 171, 126, 246, 187, 246,},
|
|
|
|
{43, 66, 131, 114, 150, 173, 126, 246, 188, 247,},
|
|
|
|
{44, 67, 133, 115, 150, 175, 127, 247, 190, 247,},
|
|
|
|
{45, 69, 135, 115, 150, 177, 128, 247, 191, 248,},
|
|
|
|
{46, 70, 136, 116, 151, 178, 129, 248, 193, 248,},
|
|
|
|
{47, 71, 138, 116, 151, 180, 129, 248, 194, 249,},
|
|
|
|
{48, 73, 140, 117, 151, 182, 130, 249, 195, 249,},
|
|
|
|
{49, 74, 142, 118, 152, 184, 131, 249, 197, 250,},
|
|
|
|
{50, 75, 144, 118, 152, 185, 131, 250, 198, 250,},
|
|
|
|
{51, 76, 145, 119, 153, 187, 132, 250, 199, 250,},
|
|
|
|
{52, 78, 147, 119, 153, 188, 133, 251, 200, 251,},
|
|
|
|
{53, 79, 149, 120, 153, 190, 134, 251, 201, 251,},
|
|
|
|
{54, 80, 151, 120, 154, 192, 134, 251, 203, 251,},
|
|
|
|
{55, 82, 152, 121, 154, 193, 135, 251, 204, 252,},
|
|
|
|
{56, 83, 154, 121, 154, 194, 136, 252, 205, 252,},
|
|
|
|
{57, 84, 155, 122, 155, 196, 136, 252, 206, 252,},
|
|
|
|
{58, 85, 157, 122, 155, 197, 137, 252, 207, 252,},
|
|
|
|
{59, 86, 158, 123, 156, 199, 138, 252, 208, 252,},
|
|
|
|
{60, 88, 160, 123, 156, 200, 139, 253, 209, 253,},
|
|
|
|
{61, 89, 162, 124, 156, 201, 139, 253, 210, 253,},
|
|
|
|
{62, 90, 163, 124, 157, 202, 140, 253, 211, 253,},
|
|
|
|
{63, 91, 164, 125, 157, 204, 141, 253, 212, 253,},
|
|
|
|
{64, 93, 166, 125, 157, 205, 141, 253, 213, 253,},
|
|
|
|
{65, 94, 167, 126, 158, 206, 142, 254, 214, 254,},
|
|
|
|
{66, 95, 169, 126, 158, 207, 143, 254, 215, 254,},
|
|
|
|
{67, 96, 170, 127, 158, 208, 143, 254, 216, 254,},
|
|
|
|
{68, 97, 172, 127, 159, 209, 144, 254, 217, 254,},
|
|
|
|
{69, 98, 173, 128, 159, 210, 145, 254, 218, 254,},
|
|
|
|
{70, 100, 174, 128, 160, 212, 146, 254, 219, 254,},
|
|
|
|
{71, 101, 176, 129, 160, 213, 146, 254, 220, 254,},
|
|
|
|
{72, 102, 177, 130, 160, 214, 147, 254, 220, 254,},
|
|
|
|
{73, 103, 178, 130, 161, 215, 148, 255, 221, 255,},
|
|
|
|
{74, 104, 179, 131, 161, 216, 148, 255, 222, 255,},
|
|
|
|
{75, 105, 181, 131, 161, 217, 149, 255, 223, 255,},
|
|
|
|
{76, 107, 182, 132, 162, 217, 150, 255, 224, 255,},
|
|
|
|
{77, 108, 183, 132, 162, 218, 150, 255, 224, 255,},
|
|
|
|
{78, 109, 184, 133, 163, 219, 151, 255, 225, 255,},
|
|
|
|
{79, 110, 185, 133, 163, 220, 152, 255, 226, 255,},
|
|
|
|
{80, 111, 187, 134, 163, 221, 153, 255, 227, 255,},
|
|
|
|
{81, 112, 188, 134, 164, 222, 153, 255, 227, 255,},
|
|
|
|
{82, 113, 189, 135, 164, 223, 154, 255, 228, 255,},
|
|
|
|
{83, 115, 190, 135, 164, 223, 155, 255, 229, 255,},
|
|
|
|
{84, 116, 191, 136, 165, 224, 155, 255, 229, 255,},
|
|
|
|
{85, 117, 192, 136, 165, 225, 156, 255, 230, 255,},
|
|
|
|
{86, 118, 193, 137, 165, 226, 157, 255, 231, 255,},
|
|
|
|
{87, 119, 194, 137, 166, 226, 157, 255, 231, 255,},
|
|
|
|
{88, 120, 195, 138, 166, 227, 158, 255, 232, 255,},
|
|
|
|
{89, 121, 196, 139, 167, 228, 159, 255, 232, 255,},
|
|
|
|
{90, 122, 197, 139, 167, 229, 159, 255, 233, 255,},
|
|
|
|
{91, 123, 198, 140, 167, 229, 160, 255, 234, 255,},
|
|
|
|
{92, 124, 199, 140, 168, 230, 161, 255, 234, 255,},
|
|
|
|
{93, 125, 200, 141, 168, 231, 162, 255, 235, 255,},
|
|
|
|
{94, 127, 201, 141, 168, 231, 162, 255, 235, 255,},
|
|
|
|
{95, 128, 202, 142, 169, 232, 163, 255, 236, 255,},
|
|
|
|
{96, 129, 203, 142, 169, 232, 164, 255, 236, 255,},
|
|
|
|
{97, 130, 204, 143, 170, 233, 164, 255, 237, 255,},
|
|
|
|
{98, 131, 205, 143, 170, 234, 165, 255, 237, 255,},
|
|
|
|
{99, 132, 206, 144, 170, 234, 166, 255, 238, 255,},
|
|
|
|
{100, 133, 207, 144, 171, 235, 166, 255, 238, 255,},
|
|
|
|
{101, 134, 208, 145, 171, 235, 167, 255, 239, 255,},
|
|
|
|
{102, 135, 209, 146, 171, 236, 168, 255, 239, 255,},
|
|
|
|
{103, 136, 209, 146, 172, 236, 168, 255, 240, 255,},
|
|
|
|
{104, 137, 210, 147, 172, 237, 169, 255, 240, 255,},
|
|
|
|
{105, 138, 211, 147, 173, 237, 170, 255, 240, 255,},
|
|
|
|
{106, 139, 212, 148, 173, 238, 170, 255, 241, 255,},
|
|
|
|
{107, 140, 213, 148, 173, 238, 171, 255, 241, 255,},
|
|
|
|
{108, 141, 213, 149, 174, 239, 172, 255, 242, 255,},
|
|
|
|
{109, 142, 214, 149, 174, 239, 172, 255, 242, 255,},
|
|
|
|
{110, 143, 215, 150, 175, 240, 173, 255, 242, 255,},
|
|
|
|
{111, 144, 216, 151, 175, 240, 174, 255, 243, 255,},
|
|
|
|
{112, 145, 217, 151, 175, 240, 174, 255, 243, 255,},
|
|
|
|
{113, 146, 217, 152, 176, 241, 175, 255, 244, 255,},
|
|
|
|
{114, 147, 218, 152, 176, 241, 176, 255, 244, 255,},
|
|
|
|
{115, 148, 219, 153, 176, 242, 177, 255, 244, 255,},
|
|
|
|
{116, 149, 219, 153, 177, 242, 177, 255, 245, 255,},
|
|
|
|
{117, 150, 220, 154, 177, 242, 178, 255, 245, 255,},
|
|
|
|
{118, 151, 221, 155, 178, 243, 179, 255, 245, 255,},
|
|
|
|
{119, 152, 222, 155, 178, 243, 179, 255, 245, 255,},
|
|
|
|
{120, 153, 222, 156, 178, 244, 180, 255, 246, 255,},
|
|
|
|
{121, 154, 223, 156, 179, 244, 181, 255, 246, 255,},
|
|
|
|
{122, 155, 224, 157, 179, 244, 181, 255, 246, 255,},
|
|
|
|
{123, 156, 224, 157, 180, 245, 182, 255, 247, 255,},
|
|
|
|
{124, 157, 225, 158, 180, 245, 183, 255, 247, 255,},
|
|
|
|
{125, 158, 225, 159, 180, 245, 183, 255, 247, 255,},
|
|
|
|
{126, 159, 226, 159, 181, 246, 184, 255, 247, 255,},
|
|
|
|
{127, 160, 227, 160, 181, 246, 185, 255, 248, 255,},
|
|
|
|
{128, 161, 227, 160, 182, 246, 185, 255, 248, 255,},
|
|
|
|
{129, 162, 228, 161, 182, 246, 186, 255, 248, 255,},
|
|
|
|
{130, 163, 228, 161, 182, 247, 187, 255, 248, 255,},
|
|
|
|
{131, 164, 229, 162, 183, 247, 187, 255, 249, 255,},
|
|
|
|
{132, 165, 230, 163, 183, 247, 188, 255, 249, 255,},
|
|
|
|
{133, 166, 230, 163, 184, 248, 189, 255, 249, 255,},
|
|
|
|
{134, 166, 231, 164, 184, 248, 189, 255, 249, 255,},
|
|
|
|
{135, 167, 231, 164, 184, 248, 190, 255, 250, 255,},
|
|
|
|
{136, 168, 232, 165, 185, 248, 191, 255, 250, 255,},
|
|
|
|
{137, 169, 232, 166, 185, 248, 191, 255, 250, 255,},
|
|
|
|
{138, 170, 233, 166, 186, 249, 192, 255, 250, 255,},
|
|
|
|
{139, 171, 233, 167, 186, 249, 192, 255, 250, 255,},
|
|
|
|
{140, 172, 234, 167, 187, 249, 193, 255, 251, 255,},
|
|
|
|
{141, 173, 234, 168, 187, 249, 194, 255, 251, 255,},
|
|
|
|
{142, 174, 235, 169, 187, 250, 194, 255, 251, 255,},
|
|
|
|
{143, 175, 235, 169, 188, 250, 195, 255, 251, 255,},
|
|
|
|
{144, 176, 236, 170, 188, 250, 196, 255, 251, 255,},
|
|
|
|
{145, 177, 236, 170, 189, 250, 196, 255, 251, 255,},
|
|
|
|
{146, 177, 237, 171, 189, 250, 197, 255, 252, 255,},
|
|
|
|
{147, 178, 237, 172, 189, 251, 198, 255, 252, 255,},
|
|
|
|
{148, 179, 238, 172, 190, 251, 198, 255, 252, 255,},
|
|
|
|
{149, 180, 238, 173, 190, 251, 199, 255, 252, 255,},
|
|
|
|
{150, 181, 238, 173, 191, 251, 200, 255, 252, 255,},
|
|
|
|
{151, 182, 239, 174, 191, 251, 200, 255, 252, 255,},
|
|
|
|
{152, 183, 239, 175, 192, 251, 201, 255, 252, 255,},
|
|
|
|
{153, 184, 240, 175, 192, 252, 202, 255, 252, 255,},
|
|
|
|
{154, 184, 240, 176, 193, 252, 202, 255, 253, 255,},
|
|
|
|
{155, 185, 240, 177, 193, 252, 203, 255, 253, 255,},
|
|
|
|
{156, 186, 241, 177, 193, 252, 203, 255, 253, 255,},
|
|
|
|
{157, 187, 241, 178, 194, 252, 204, 255, 253, 255,},
|
|
|
|
{158, 188, 242, 178, 194, 252, 205, 255, 253, 255,},
|
|
|
|
{159, 189, 242, 179, 195, 252, 205, 255, 253, 255,},
|
|
|
|
{160, 190, 242, 180, 195, 253, 206, 255, 253, 255,},
|
|
|
|
{161, 190, 243, 180, 196, 253, 207, 255, 253, 255,},
|
|
|
|
{162, 191, 243, 181, 196, 253, 207, 255, 254, 255,},
|
|
|
|
{163, 192, 243, 182, 197, 253, 208, 255, 254, 255,},
|
|
|
|
{164, 193, 244, 182, 197, 253, 209, 255, 254, 255,},
|
|
|
|
{165, 194, 244, 183, 197, 253, 209, 255, 254, 255,},
|
|
|
|
{166, 195, 244, 184, 198, 253, 210, 255, 254, 255,},
|
|
|
|
{167, 196, 245, 184, 198, 253, 210, 255, 254, 255,},
|
|
|
|
{168, 196, 245, 185, 199, 253, 211, 255, 254, 255,},
|
|
|
|
{169, 197, 245, 186, 199, 254, 212, 255, 254, 255,},
|
|
|
|
{170, 198, 246, 186, 200, 254, 212, 255, 254, 255,},
|
|
|
|
{171, 199, 246, 187, 200, 254, 213, 255, 254, 255,},
|
|
|
|
{172, 200, 246, 188, 201, 254, 214, 255, 254, 255,},
|
|
|
|
{173, 200, 246, 188, 201, 254, 214, 255, 254, 255,},
|
|
|
|
{174, 201, 247, 189, 202, 254, 215, 255, 254, 255,},
|
|
|
|
{175, 202, 247, 189, 202, 254, 215, 255, 255, 255,},
|
|
|
|
{176, 203, 247, 190, 203, 254, 216, 255, 255, 255,},
|
|
|
|
{177, 204, 248, 191, 203, 254, 217, 255, 255, 255,},
|
|
|
|
{178, 204, 248, 191, 204, 254, 217, 255, 255, 255,},
|
|
|
|
{179, 205, 248, 192, 204, 254, 218, 255, 255, 255,},
|
|
|
|
{180, 206, 248, 193, 204, 254, 218, 255, 255, 255,},
|
|
|
|
{181, 207, 249, 194, 205, 255, 219, 255, 255, 255,},
|
|
|
|
{182, 208, 249, 194, 205, 255, 220, 255, 255, 255,},
|
|
|
|
{183, 208, 249, 195, 206, 255, 220, 255, 255, 255,},
|
|
|
|
{184, 209, 249, 196, 206, 255, 221, 255, 255, 255,},
|
|
|
|
{185, 210, 250, 196, 207, 255, 221, 255, 255, 255,},
|
|
|
|
{186, 211, 250, 197, 207, 255, 222, 255, 255, 255,},
|
|
|
|
{187, 211, 250, 198, 208, 255, 223, 255, 255, 255,},
|
|
|
|
{188, 212, 250, 198, 208, 255, 223, 255, 255, 255,},
|
|
|
|
{189, 213, 250, 199, 209, 255, 224, 255, 255, 255,},
|
|
|
|
{190, 214, 251, 200, 209, 255, 224, 255, 255, 255,},
|
|
|
|
{191, 215, 251, 200, 210, 255, 225, 255, 255, 255,},
|
|
|
|
{192, 215, 251, 201, 211, 255, 225, 255, 255, 255,},
|
|
|
|
{193, 216, 251, 202, 211, 255, 226, 255, 255, 255,},
|
|
|
|
{194, 217, 251, 203, 212, 255, 227, 255, 255, 255,},
|
|
|
|
{195, 218, 252, 203, 212, 255, 227, 255, 255, 255,},
|
|
|
|
{196, 218, 252, 204, 213, 255, 228, 255, 255, 255,},
|
|
|
|
{197, 219, 252, 205, 213, 255, 228, 255, 255, 255,},
|
|
|
|
{198, 220, 252, 205, 214, 255, 229, 255, 255, 255,},
|
|
|
|
{199, 221, 252, 206, 214, 255, 229, 255, 255, 255,},
|
|
|
|
{200, 221, 252, 207, 215, 255, 230, 255, 255, 255,},
|
|
|
|
{201, 222, 252, 208, 215, 255, 231, 255, 255, 255,},
|
|
|
|
{202, 223, 253, 208, 216, 255, 231, 255, 255, 255,},
|
|
|
|
{203, 223, 253, 209, 216, 255, 232, 255, 255, 255,},
|
|
|
|
{204, 224, 253, 210, 217, 255, 232, 255, 255, 255,},
|
|
|
|
{205, 225, 253, 211, 218, 255, 233, 255, 255, 255,},
|
|
|
|
{206, 226, 253, 211, 218, 255, 233, 255, 255, 255,},
|
|
|
|
{207, 226, 253, 212, 219, 255, 234, 255, 255, 255,},
|
|
|
|
{208, 227, 253, 213, 219, 255, 234, 255, 255, 255,},
|
|
|
|
{209, 228, 254, 214, 220, 255, 235, 255, 255, 255,},
|
|
|
|
{210, 228, 254, 214, 220, 255, 236, 255, 255, 255,},
|
|
|
|
{211, 229, 254, 215, 221, 255, 236, 255, 255, 255,},
|
|
|
|
{212, 230, 254, 216, 222, 255, 237, 255, 255, 255,},
|
|
|
|
{213, 230, 254, 217, 222, 255, 237, 255, 255, 255,},
|
|
|
|
{214, 231, 254, 217, 223, 255, 238, 255, 255, 255,},
|
|
|
|
{215, 232, 254, 218, 223, 255, 238, 255, 255, 255,},
|
|
|
|
{216, 233, 254, 219, 224, 255, 239, 255, 255, 255,},
|
|
|
|
{217, 233, 254, 220, 225, 255, 239, 255, 255, 255,},
|
|
|
|
{218, 234, 255, 220, 225, 255, 240, 255, 255, 255,},
|
|
|
|
{219, 235, 255, 221, 226, 255, 240, 255, 255, 255,},
|
|
|
|
{220, 235, 255, 222, 226, 255, 241, 255, 255, 255,},
|
|
|
|
{221, 236, 255, 223, 227, 255, 241, 255, 255, 255,},
|
|
|
|
{222, 237, 255, 224, 228, 255, 242, 255, 255, 255,},
|
|
|
|
{223, 237, 255, 224, 228, 255, 242, 255, 255, 255,},
|
|
|
|
{224, 238, 255, 225, 229, 255, 243, 255, 255, 255,},
|
|
|
|
{225, 238, 255, 226, 230, 255, 243, 255, 255, 255,},
|
|
|
|
{226, 239, 255, 227, 230, 255, 244, 255, 255, 255,},
|
|
|
|
{227, 240, 255, 228, 231, 255, 244, 255, 255, 255,},
|
|
|
|
{228, 240, 255, 228, 232, 255, 245, 255, 255, 255,},
|
|
|
|
{229, 241, 255, 229, 232, 255, 245, 255, 255, 255,},
|
|
|
|
{230, 242, 255, 230, 233, 255, 246, 255, 255, 255,},
|
|
|
|
{231, 242, 255, 231, 234, 255, 246, 255, 255, 255,},
|
|
|
|
{232, 243, 255, 232, 234, 255, 247, 255, 255, 255,},
|
|
|
|
{233, 243, 255, 233, 235, 255, 247, 255, 255, 255,},
|
|
|
|
{234, 244, 255, 233, 236, 255, 247, 255, 255, 255,},
|
|
|
|
{235, 245, 255, 234, 236, 255, 248, 255, 255, 255,},
|
|
|
|
{236, 245, 255, 235, 237, 255, 248, 255, 255, 255,},
|
|
|
|
{237, 246, 255, 236, 238, 255, 249, 255, 255, 255,},
|
|
|
|
{238, 247, 255, 237, 239, 255, 249, 255, 255, 255,},
|
|
|
|
{239, 247, 255, 238, 239, 255, 250, 255, 255, 255,},
|
|
|
|
{240, 248, 255, 239, 240, 255, 250, 255, 255, 255,},
|
|
|
|
{241, 248, 255, 240, 241, 255, 251, 255, 255, 255,},
|
|
|
|
{242, 249, 255, 241, 242, 255, 251, 255, 255, 255,},
|
|
|
|
{243, 249, 255, 241, 243, 255, 251, 255, 255, 255,},
|
|
|
|
{244, 250, 255, 242, 243, 255, 252, 255, 255, 255,},
|
|
|
|
{245, 251, 255, 243, 244, 255, 252, 255, 255, 255,},
|
|
|
|
{246, 251, 255, 244, 245, 255, 253, 255, 255, 255,},
|
|
|
|
{247, 252, 255, 245, 246, 255, 253, 255, 255, 255,},
|
|
|
|
{248, 252, 255, 246, 247, 255, 253, 255, 255, 255,},
|
|
|
|
{249, 253, 255, 247, 248, 255, 254, 255, 255, 255,},
|
|
|
|
{250, 253, 255, 248, 249, 255, 254, 255, 255, 255,},
|
|
|
|
{251, 254, 255, 249, 250, 255, 254, 255, 255, 255,},
|
|
|
|
{252, 254, 255, 251, 251, 255, 255, 255, 255, 255,},
|
|
|
|
{253, 255, 255, 252, 252, 255, 255, 255, 255, 255,},
|
|
|
|
{254, 255, 255, 253, 253, 255, 255, 255, 255, 255,},
|
|
|
|
{255, 255, 255, 254, 254, 255, 255, 255, 255, 255,},
|
|
|
|
};
|
|
|
|
|
2013-03-26 16:34:56 +01:00
|
|
|
#else
|
2013-03-13 19:03:17 +01:00
|
|
|
|
|
|
|
const vp9_prob vp9_modelcoefprobs_gg75p1[COEFPROB_MODELS][ENTROPY_NODES - 1] = {
|
2013-03-26 16:34:56 +01:00
|
|
|
// Probs generated with a Generalized Gaussian (with shape parameter 0.75)
|
2013-03-13 19:03:17 +01:00
|
|
|
// source model with varying quantizer step size for a uniform quantizer
|
|
|
|
{1, 1, 3, 86, 129, 6, 87, 21, 90, 26,},
|
|
|
|
{2, 3, 9, 87, 130, 16, 89, 55, 96, 65,},
|
|
|
|
{3, 5, 14, 88, 130, 26, 90, 82, 101, 95,},
|
|
|
|
{4, 7, 20, 89, 131, 35, 92, 105, 105, 119,},
|
|
|
|
{5, 9, 25, 90, 132, 44, 93, 124, 110, 138,},
|
|
|
|
{6, 11, 30, 91, 132, 52, 95, 141, 114, 155,},
|
|
|
|
{7, 13, 35, 92, 133, 60, 96, 155, 118, 168,},
|
|
|
|
{8, 15, 40, 93, 134, 68, 97, 167, 123, 180,},
|
|
|
|
{9, 17, 44, 94, 134, 75, 99, 178, 127, 190,},
|
|
|
|
{10, 19, 49, 94, 135, 82, 100, 187, 131, 199,},
|
|
|
|
{11, 21, 54, 95, 135, 88, 101, 195, 135, 206,},
|
|
|
|
{13, 23, 58, 96, 136, 95, 102, 202, 138, 213,},
|
|
|
|
{14, 25, 63, 97, 137, 101, 104, 209, 142, 218,},
|
|
|
|
{15, 27, 67, 98, 137, 107, 105, 214, 146, 223,},
|
|
|
|
{16, 29, 71, 98, 138, 113, 106, 219, 150, 227,},
|
|
|
|
{17, 31, 76, 99, 138, 118, 107, 223, 153, 231,},
|
|
|
|
{18, 33, 80, 100, 139, 123, 109, 227, 157, 234,},
|
|
|
|
{20, 35, 84, 101, 140, 128, 110, 231, 160, 237,},
|
|
|
|
{21, 37, 88, 102, 140, 133, 111, 234, 164, 239,},
|
|
|
|
{22, 39, 92, 102, 141, 138, 112, 236, 167, 241,},
|
|
|
|
{23, 41, 95, 103, 141, 143, 114, 238, 170, 243,},
|
|
|
|
{25, 43, 99, 104, 142, 147, 115, 241, 173, 245,},
|
|
|
|
{26, 45, 103, 105, 142, 151, 116, 242, 176, 246,},
|
|
|
|
{27, 47, 107, 105, 143, 156, 117, 244, 180, 248,},
|
|
|
|
{28, 49, 110, 106, 144, 159, 119, 245, 182, 249,},
|
|
|
|
{30, 51, 114, 107, 144, 163, 120, 247, 185, 250,},
|
|
|
|
{31, 53, 117, 108, 145, 167, 121, 248, 188, 250,},
|
|
|
|
{32, 55, 121, 109, 145, 171, 123, 249, 191, 251,},
|
|
|
|
{34, 57, 124, 110, 146, 174, 124, 250, 194, 252,},
|
|
|
|
{35, 59, 127, 110, 147, 177, 125, 250, 196, 252,},
|
|
|
|
{36, 61, 130, 111, 147, 181, 127, 251, 199, 253,},
|
|
|
|
{38, 63, 134, 112, 148, 184, 128, 252, 201, 253,},
|
|
|
|
{39, 65, 137, 113, 148, 187, 129, 252, 204, 254,},
|
|
|
|
{40, 67, 140, 114, 149, 190, 130, 253, 206, 254,},
|
|
|
|
{42, 69, 143, 115, 150, 192, 132, 253, 208, 254,},
|
|
|
|
{43, 71, 146, 115, 150, 195, 133, 254, 210, 254,},
|
|
|
|
{44, 73, 149, 116, 151, 198, 134, 254, 212, 255,},
|
|
|
|
{46, 75, 152, 117, 151, 200, 136, 254, 214, 255,},
|
|
|
|
{47, 77, 154, 118, 152, 203, 137, 254, 216, 255,},
|
|
|
|
{49, 79, 157, 119, 153, 205, 139, 255, 218, 255,},
|
|
|
|
{50, 81, 160, 120, 153, 207, 140, 255, 220, 255,},
|
|
|
|
{51, 83, 163, 121, 154, 210, 141, 255, 222, 255,},
|
|
|
|
{53, 85, 165, 122, 154, 212, 143, 255, 223, 255,},
|
|
|
|
{54, 87, 168, 123, 155, 214, 144, 255, 225, 255,},
|
|
|
|
{56, 89, 170, 123, 156, 216, 145, 255, 227, 255,},
|
|
|
|
{57, 91, 173, 124, 156, 218, 147, 255, 228, 255,},
|
|
|
|
{59, 93, 175, 125, 157, 219, 148, 255, 230, 255,},
|
|
|
|
{60, 95, 178, 126, 158, 221, 150, 255, 231, 255,},
|
|
|
|
{62, 97, 180, 127, 158, 223, 151, 255, 232, 255,},
|
|
|
|
{63, 99, 182, 128, 159, 224, 152, 255, 234, 255,},
|
|
|
|
{65, 101, 184, 129, 160, 226, 154, 255, 235, 255,},
|
|
|
|
{66, 103, 187, 130, 160, 227, 155, 255, 236, 255,},
|
|
|
|
{68, 105, 189, 131, 161, 229, 157, 255, 237, 255,},
|
|
|
|
{69, 107, 191, 132, 162, 230, 158, 255, 238, 255,},
|
|
|
|
{71, 109, 193, 133, 163, 232, 159, 255, 239, 255,},
|
|
|
|
{73, 111, 195, 134, 163, 233, 161, 255, 240, 255,},
|
|
|
|
{74, 113, 197, 135, 164, 234, 162, 255, 241, 255,},
|
|
|
|
{76, 115, 199, 136, 165, 235, 164, 255, 242, 255,},
|
|
|
|
{77, 117, 201, 137, 165, 236, 165, 255, 243, 255,},
|
|
|
|
{79, 119, 203, 138, 166, 237, 167, 255, 244, 255,},
|
|
|
|
{81, 121, 205, 139, 167, 238, 168, 255, 244, 255,},
|
|
|
|
{82, 123, 206, 141, 168, 239, 170, 255, 245, 255,},
|
|
|
|
{84, 125, 208, 142, 168, 240, 171, 255, 246, 255,},
|
|
|
|
{86, 127, 210, 143, 169, 241, 173, 255, 246, 255,},
|
|
|
|
{87, 129, 212, 144, 170, 242, 174, 255, 247, 255,},
|
|
|
|
{89, 131, 213, 145, 171, 243, 176, 255, 248, 255,},
|
|
|
|
{91, 133, 215, 146, 171, 244, 177, 255, 248, 255,},
|
|
|
|
{93, 135, 216, 147, 172, 244, 179, 255, 249, 255,},
|
|
|
|
{94, 137, 218, 148, 173, 245, 180, 255, 249, 255,},
|
|
|
|
{96, 139, 220, 150, 174, 246, 181, 255, 250, 255,},
|
|
|
|
{98, 141, 221, 151, 175, 246, 183, 255, 250, 255,},
|
|
|
|
{100, 143, 222, 152, 175, 247, 184, 255, 251, 255,},
|
|
|
|
{101, 145, 224, 153, 176, 248, 186, 255, 251, 255,},
|
|
|
|
{103, 147, 225, 154, 177, 248, 187, 255, 251, 255,},
|
|
|
|
{105, 149, 226, 156, 178, 249, 189, 255, 252, 255,},
|
|
|
|
{107, 151, 228, 157, 179, 249, 190, 255, 252, 255,},
|
|
|
|
{109, 153, 229, 158, 180, 250, 192, 255, 252, 255,},
|
|
|
|
{111, 155, 230, 159, 181, 250, 193, 255, 253, 255,},
|
|
|
|
{112, 157, 231, 161, 181, 251, 195, 255, 253, 255,},
|
|
|
|
{114, 159, 233, 162, 182, 251, 196, 255, 253, 255,},
|
|
|
|
{116, 161, 234, 163, 183, 251, 198, 255, 253, 255,},
|
|
|
|
{118, 163, 235, 165, 184, 252, 199, 255, 254, 255,},
|
|
|
|
{120, 165, 236, 166, 185, 252, 201, 255, 254, 255,},
|
|
|
|
{122, 167, 237, 167, 186, 252, 202, 255, 254, 255,},
|
|
|
|
{124, 169, 238, 169, 187, 253, 204, 255, 254, 255,},
|
|
|
|
{126, 171, 239, 170, 188, 253, 205, 255, 254, 255,},
|
|
|
|
{128, 173, 240, 172, 189, 253, 207, 255, 255, 255,},
|
|
|
|
{130, 175, 241, 173, 190, 253, 208, 255, 255, 255,},
|
|
|
|
{132, 177, 242, 175, 191, 254, 210, 255, 255, 255,},
|
|
|
|
{134, 179, 242, 176, 192, 254, 211, 255, 255, 255,},
|
|
|
|
{137, 181, 243, 177, 193, 254, 213, 255, 255, 255,},
|
|
|
|
{139, 183, 244, 179, 194, 254, 214, 255, 255, 255,},
|
|
|
|
{141, 185, 245, 181, 195, 254, 216, 255, 255, 255,},
|
|
|
|
{143, 187, 245, 182, 196, 255, 217, 255, 255, 255,},
|
|
|
|
{145, 189, 246, 184, 197, 255, 218, 255, 255, 255,},
|
|
|
|
{147, 191, 247, 185, 199, 255, 220, 255, 255, 255,},
|
|
|
|
{150, 193, 247, 187, 200, 255, 221, 255, 255, 255,},
|
|
|
|
{152, 195, 248, 188, 201, 255, 223, 255, 255, 255,},
|
|
|
|
{154, 197, 249, 190, 202, 255, 224, 255, 255, 255,},
|
|
|
|
{157, 199, 249, 192, 203, 255, 225, 255, 255, 255,},
|
|
|
|
{159, 201, 250, 193, 205, 255, 227, 255, 255, 255,},
|
|
|
|
{162, 203, 250, 195, 206, 255, 228, 255, 255, 255,},
|
|
|
|
{164, 205, 251, 197, 207, 255, 229, 255, 255, 255,},
|
|
|
|
{166, 207, 251, 199, 208, 255, 231, 255, 255, 255,},
|
|
|
|
{169, 209, 252, 201, 210, 255, 232, 255, 255, 255,},
|
|
|
|
{172, 211, 252, 202, 211, 255, 233, 255, 255, 255,},
|
|
|
|
{174, 213, 252, 204, 212, 255, 235, 255, 255, 255,},
|
|
|
|
{177, 215, 253, 206, 214, 255, 236, 255, 255, 255,},
|
|
|
|
{179, 217, 253, 208, 215, 255, 237, 255, 255, 255,},
|
|
|
|
{182, 219, 254, 210, 217, 255, 238, 255, 255, 255,},
|
|
|
|
{185, 221, 254, 212, 218, 255, 240, 255, 255, 255,},
|
|
|
|
{188, 223, 254, 214, 220, 255, 241, 255, 255, 255,},
|
|
|
|
{191, 225, 254, 216, 221, 255, 242, 255, 255, 255,},
|
|
|
|
{194, 227, 255, 218, 223, 255, 243, 255, 255, 255,},
|
|
|
|
{197, 229, 255, 220, 225, 255, 244, 255, 255, 255,},
|
|
|
|
{200, 231, 255, 222, 226, 255, 245, 255, 255, 255,},
|
|
|
|
{203, 233, 255, 224, 228, 255, 247, 255, 255, 255,},
|
|
|
|
{206, 235, 255, 227, 230, 255, 248, 255, 255, 255,},
|
|
|
|
{210, 237, 255, 229, 232, 255, 249, 255, 255, 255,},
|
|
|
|
{213, 239, 255, 231, 234, 255, 250, 255, 255, 255,},
|
|
|
|
{217, 241, 255, 234, 236, 255, 251, 255, 255, 255,},
|
|
|
|
{221, 243, 255, 236, 238, 255, 252, 255, 255, 255,},
|
|
|
|
{225, 245, 255, 239, 240, 255, 252, 255, 255, 255,},
|
|
|
|
{229, 247, 255, 241, 242, 255, 253, 255, 255, 255,},
|
|
|
|
{233, 249, 255, 244, 245, 255, 254, 255, 255, 255,},
|
|
|
|
{238, 251, 255, 247, 247, 255, 255, 255, 255, 255,},
|
|
|
|
{244, 253, 255, 250, 250, 255, 255, 255, 255, 255,},
|
|
|
|
{251, 255, 255, 254, 254, 255, 255, 255, 255, 255,},
|
|
|
|
};
|
|
|
|
|
|
|
|
const vp9_prob vp9_modelcoefprobs_gg625p1[COEFPROB_MODELS][ENTROPY_NODES - 1] = {
|
|
|
|
// Probs generated with a Generalized Gaussian (with shape parameter 0.625)
|
|
|
|
// source model with varying quantizer step size for a uniform quantizer
|
|
|
|
{1, 1, 3, 87, 129, 6, 87, 20, 91, 24,},
|
|
|
|
{2, 3, 8, 88, 130, 15, 90, 50, 97, 56,},
|
|
|
|
{3, 5, 14, 90, 131, 24, 91, 74, 102, 81,},
|
|
|
|
{4, 7, 19, 91, 132, 33, 93, 93, 106, 101,},
|
|
|
|
{5, 9, 24, 92, 133, 40, 94, 110, 110, 118,},
|
|
|
|
{6, 11, 29, 93, 134, 48, 96, 125, 113, 132,},
|
|
|
|
{7, 13, 33, 93, 134, 55, 97, 138, 117, 145,},
|
|
|
|
{8, 15, 38, 94, 135, 62, 98, 149, 120, 155,},
|
|
|
|
{10, 17, 42, 95, 136, 68, 99, 159, 124, 165,},
|
|
|
|
{11, 19, 47, 96, 136, 74, 100, 168, 127, 174,},
|
|
|
|
{12, 21, 51, 97, 137, 80, 102, 176, 130, 181,},
|
|
|
|
{13, 23, 55, 98, 137, 86, 103, 184, 133, 188,},
|
|
|
|
{14, 25, 59, 98, 138, 91, 104, 190, 136, 194,},
|
|
|
|
{16, 27, 64, 99, 139, 97, 105, 196, 139, 200,},
|
|
|
|
{17, 29, 68, 100, 139, 102, 106, 201, 142, 205,},
|
|
|
|
{18, 31, 71, 101, 140, 107, 107, 206, 145, 209,},
|
|
|
|
{20, 33, 75, 102, 140, 112, 108, 211, 148, 213,},
|
|
|
|
{21, 35, 79, 102, 141, 116, 109, 215, 150, 217,},
|
|
|
|
{22, 37, 83, 103, 141, 121, 110, 218, 153, 220,},
|
|
|
|
{24, 39, 87, 104, 142, 125, 112, 222, 156, 224,},
|
|
|
|
{25, 41, 90, 105, 143, 129, 113, 225, 159, 226,},
|
|
|
|
{26, 43, 94, 105, 143, 133, 114, 227, 161, 229,},
|
|
|
|
{28, 45, 97, 106, 144, 137, 115, 230, 164, 231,},
|
|
|
|
{29, 47, 101, 107, 144, 141, 116, 232, 166, 233,},
|
|
|
|
{31, 49, 104, 108, 145, 145, 117, 234, 169, 235,},
|
|
|
|
{32, 51, 107, 108, 145, 149, 118, 236, 171, 237,},
|
|
|
|
{33, 53, 111, 109, 146, 152, 119, 238, 174, 239,},
|
|
|
|
{35, 55, 114, 110, 146, 156, 120, 240, 176, 240,},
|
|
|
|
{36, 57, 117, 111, 147, 159, 121, 241, 178, 242,},
|
|
|
|
{38, 59, 120, 112, 148, 162, 122, 242, 181, 243,},
|
|
|
|
{39, 61, 123, 112, 148, 165, 124, 244, 183, 244,},
|
|
|
|
{41, 63, 126, 113, 149, 168, 125, 245, 185, 245,},
|
|
|
|
{42, 65, 129, 114, 149, 171, 126, 246, 187, 246,},
|
|
|
|
{44, 67, 132, 115, 150, 174, 127, 247, 189, 247,},
|
|
|
|
{45, 69, 135, 116, 150, 177, 128, 248, 192, 248,},
|
|
|
|
{47, 71, 138, 116, 151, 180, 129, 248, 194, 249,},
|
|
|
|
{48, 73, 141, 117, 152, 183, 130, 249, 196, 249,},
|
|
|
|
{50, 75, 143, 118, 152, 185, 131, 250, 198, 250,},
|
|
|
|
{51, 77, 146, 119, 153, 188, 132, 250, 200, 250,},
|
|
|
|
{53, 79, 149, 120, 153, 190, 134, 251, 201, 251,},
|
|
|
|
{55, 81, 151, 120, 154, 192, 135, 251, 203, 251,},
|
|
|
|
{56, 83, 154, 121, 155, 195, 136, 252, 205, 252,},
|
|
|
|
{58, 85, 157, 122, 155, 197, 137, 252, 207, 252,},
|
|
|
|
{59, 87, 159, 123, 156, 199, 138, 253, 209, 253,},
|
|
|
|
{61, 89, 162, 124, 156, 201, 139, 253, 210, 253,},
|
|
|
|
{63, 91, 164, 125, 157, 203, 140, 253, 212, 253,},
|
|
|
|
{64, 93, 166, 126, 158, 205, 142, 254, 214, 253,},
|
|
|
|
{66, 95, 169, 126, 158, 207, 143, 254, 215, 254,},
|
|
|
|
{68, 97, 171, 127, 159, 209, 144, 254, 217, 254,},
|
|
|
|
{69, 99, 173, 128, 159, 211, 145, 254, 218, 254,},
|
|
|
|
{71, 101, 176, 129, 160, 213, 146, 254, 220, 254,},
|
|
|
|
{73, 103, 178, 130, 161, 214, 148, 255, 221, 255,},
|
|
|
|
{75, 105, 180, 131, 161, 216, 149, 255, 223, 255,},
|
|
|
|
{76, 107, 182, 132, 162, 218, 150, 255, 224, 255,},
|
|
|
|
{78, 109, 184, 133, 163, 219, 151, 255, 225, 255,},
|
|
|
|
{80, 111, 186, 134, 163, 221, 152, 255, 226, 255,},
|
|
|
|
{82, 113, 188, 135, 164, 222, 154, 255, 228, 255,},
|
|
|
|
{83, 115, 190, 136, 165, 224, 155, 255, 229, 255,},
|
|
|
|
{85, 117, 192, 137, 165, 225, 156, 255, 230, 255,},
|
|
|
|
{87, 119, 194, 137, 166, 226, 157, 255, 231, 255,},
|
|
|
|
{89, 121, 196, 138, 167, 228, 159, 255, 232, 255,},
|
|
|
|
{91, 123, 198, 139, 167, 229, 160, 255, 233, 255,},
|
|
|
|
{93, 125, 200, 140, 168, 230, 161, 255, 234, 255,},
|
|
|
|
{94, 127, 202, 141, 169, 231, 163, 255, 235, 255,},
|
|
|
|
{96, 129, 203, 142, 169, 233, 164, 255, 236, 255,},
|
|
|
|
{98, 131, 205, 143, 170, 234, 165, 255, 237, 255,},
|
|
|
|
{100, 133, 207, 145, 171, 235, 166, 255, 238, 255,},
|
|
|
|
{102, 135, 209, 146, 171, 236, 168, 255, 239, 255,},
|
|
|
|
{104, 137, 210, 147, 172, 237, 169, 255, 240, 255,},
|
|
|
|
{106, 139, 212, 148, 173, 238, 170, 255, 241, 255,},
|
|
|
|
{108, 141, 213, 149, 174, 239, 172, 255, 242, 255,},
|
|
|
|
{110, 143, 215, 150, 174, 240, 173, 255, 242, 255,},
|
|
|
|
{112, 145, 216, 151, 175, 240, 174, 255, 243, 255,},
|
|
|
|
{114, 147, 218, 152, 176, 241, 176, 255, 244, 255,},
|
|
|
|
{116, 149, 219, 153, 177, 242, 177, 255, 244, 255,},
|
|
|
|
{118, 151, 221, 154, 178, 243, 178, 255, 245, 255,},
|
|
|
|
{120, 153, 222, 156, 178, 244, 180, 255, 246, 255,},
|
|
|
|
{122, 155, 223, 157, 179, 244, 181, 255, 246, 255,},
|
|
|
|
{124, 157, 225, 158, 180, 245, 183, 255, 247, 255,},
|
|
|
|
{126, 159, 226, 159, 181, 246, 184, 255, 247, 255,},
|
|
|
|
{128, 161, 227, 160, 182, 246, 185, 255, 248, 255,},
|
|
|
|
{130, 163, 229, 162, 183, 247, 187, 255, 248, 255,},
|
|
|
|
{132, 165, 230, 163, 183, 247, 188, 255, 249, 255,},
|
|
|
|
{135, 167, 231, 164, 184, 248, 190, 255, 249, 255,},
|
|
|
|
{137, 169, 232, 165, 185, 248, 191, 255, 250, 255,},
|
|
|
|
{139, 171, 233, 167, 186, 249, 192, 255, 250, 255,},
|
|
|
|
{141, 173, 234, 168, 187, 249, 194, 255, 251, 255,},
|
|
|
|
{143, 175, 235, 169, 188, 250, 195, 255, 251, 255,},
|
|
|
|
{146, 177, 236, 171, 189, 250, 197, 255, 251, 255,},
|
|
|
|
{148, 179, 237, 172, 190, 251, 198, 255, 252, 255,},
|
|
|
|
{150, 181, 238, 173, 191, 251, 200, 255, 252, 255,},
|
|
|
|
{152, 183, 239, 175, 192, 251, 201, 255, 252, 255,},
|
|
|
|
{155, 185, 240, 176, 193, 252, 203, 255, 253, 255,},
|
|
|
|
{157, 187, 241, 178, 194, 252, 204, 255, 253, 255,},
|
|
|
|
{159, 189, 242, 179, 195, 252, 206, 255, 253, 255,},
|
|
|
|
{162, 191, 243, 181, 196, 253, 207, 255, 253, 255,},
|
|
|
|
{164, 193, 244, 182, 197, 253, 209, 255, 254, 255,},
|
|
|
|
{166, 195, 244, 184, 198, 253, 210, 255, 254, 255,},
|
|
|
|
{169, 197, 245, 185, 199, 254, 212, 255, 254, 255,},
|
|
|
|
{171, 199, 246, 187, 200, 254, 213, 255, 254, 255,},
|
|
|
|
{174, 201, 247, 189, 201, 254, 215, 255, 254, 255,},
|
|
|
|
{176, 203, 247, 190, 203, 254, 216, 255, 255, 255,},
|
|
|
|
{179, 205, 248, 192, 204, 254, 218, 255, 255, 255,},
|
|
|
|
{181, 207, 249, 194, 205, 255, 219, 255, 255, 255,},
|
|
|
|
{184, 209, 249, 195, 206, 255, 221, 255, 255, 255,},
|
|
|
|
{186, 211, 250, 197, 208, 255, 222, 255, 255, 255,},
|
|
|
|
{189, 213, 250, 199, 209, 255, 224, 255, 255, 255,},
|
|
|
|
{192, 215, 251, 201, 210, 255, 225, 255, 255, 255,},
|
|
|
|
{194, 217, 251, 203, 212, 255, 227, 255, 255, 255,},
|
|
|
|
{197, 219, 252, 205, 213, 255, 228, 255, 255, 255,},
|
|
|
|
{200, 221, 252, 207, 215, 255, 230, 255, 255, 255,},
|
|
|
|
{202, 223, 253, 209, 216, 255, 231, 255, 255, 255,},
|
|
|
|
{205, 225, 253, 211, 218, 255, 233, 255, 255, 255,},
|
|
|
|
{208, 227, 253, 213, 219, 255, 234, 255, 255, 255,},
|
|
|
|
{211, 229, 254, 215, 221, 255, 236, 255, 255, 255,},
|
|
|
|
{214, 231, 254, 217, 223, 255, 238, 255, 255, 255,},
|
|
|
|
{217, 233, 254, 219, 224, 255, 239, 255, 255, 255,},
|
|
|
|
{220, 235, 255, 222, 226, 255, 241, 255, 255, 255,},
|
|
|
|
{223, 237, 255, 224, 228, 255, 242, 255, 255, 255,},
|
|
|
|
{226, 239, 255, 227, 230, 255, 244, 255, 255, 255,},
|
|
|
|
{229, 241, 255, 229, 232, 255, 245, 255, 255, 255,},
|
|
|
|
{232, 243, 255, 232, 234, 255, 247, 255, 255, 255,},
|
|
|
|
{235, 245, 255, 235, 237, 255, 248, 255, 255, 255,},
|
|
|
|
{239, 247, 255, 238, 239, 255, 250, 255, 255, 255,},
|
|
|
|
{242, 249, 255, 241, 242, 255, 251, 255, 255, 255,},
|
|
|
|
{246, 251, 255, 244, 245, 255, 253, 255, 255, 255,},
|
|
|
|
{250, 253, 255, 248, 248, 255, 254, 255, 255, 255,},
|
|
|
|
{254, 255, 255, 253, 253, 255, 255, 255, 255, 255,},
|
|
|
|
};
|
2013-03-26 16:34:56 +01:00
|
|
|
#endif
|
2013-03-13 19:03:17 +01:00
|
|
|
|
|
|
|
void vp9_get_model_distribution(vp9_prob p, vp9_prob *tree_probs,
|
|
|
|
int b, int r) {
|
|
|
|
const vp9_prob (*model)[ENTROPY_NODES - 1];
|
|
|
|
#if UNCONSTRAINED_NODES == 2
|
|
|
|
if (r != INTRA_FRAME && b == PLANE_TYPE_UV)
|
|
|
|
model = vp9_modelcoefprobs_gg75;
|
|
|
|
else if (r == INTRA_FRAME && b == PLANE_TYPE_UV)
|
|
|
|
model = vp9_modelcoefprobs_gg75;
|
|
|
|
else if (r != INTRA_FRAME && b == PLANE_TYPE_Y_WITH_DC)
|
|
|
|
model = vp9_modelcoefprobs_gg75;
|
|
|
|
else
|
|
|
|
model = vp9_modelcoefprobs_gg75;
|
|
|
|
#else
|
|
|
|
if (r != INTRA_FRAME && b == PLANE_TYPE_UV)
|
|
|
|
model = vp9_modelcoefprobs_gg75p1;
|
|
|
|
else if (r == INTRA_FRAME && b == PLANE_TYPE_UV)
|
|
|
|
model = vp9_modelcoefprobs_gg75p1;
|
|
|
|
else if (r != INTRA_FRAME && b == PLANE_TYPE_Y_WITH_DC)
|
|
|
|
model = vp9_modelcoefprobs_gg75p1;
|
|
|
|
else
|
2013-03-26 16:34:56 +01:00
|
|
|
model = vp9_modelcoefprobs_gg625p1;
|
2013-03-13 19:03:17 +01:00
|
|
|
#endif
|
2013-03-26 16:34:56 +01:00
|
|
|
if (p & 1) { // odd
|
|
|
|
vpx_memcpy(tree_probs + UNCONSTRAINED_NODES,
|
|
|
|
model[(p - 1) / 2] + UNCONSTRAINED_NODES - 1,
|
|
|
|
(ENTROPY_NODES - UNCONSTRAINED_NODES) * sizeof(vp9_prob));
|
|
|
|
} else {
|
|
|
|
// interpolate
|
|
|
|
int i;
|
|
|
|
for (i = UNCONSTRAINED_NODES; i < ENTROPY_NODES; ++i)
|
|
|
|
tree_probs[i] = (model[p / 2 - 1][i - 1] + model[p / 2][i - 1]) >> 1;
|
|
|
|
}
|
2013-03-13 19:03:17 +01:00
|
|
|
}
|
|
|
|
#endif
|
|
|
|
|
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
|
|
|
static vp9_tree_index cat1[2], cat2[4], cat3[6], cat4[8], cat5[10], cat6[28];
|
2010-05-18 17:58:33 +02:00
|
|
|
|
2012-10-31 22:40:53 +01:00
|
|
|
static void init_bit_tree(vp9_tree_index *p, int n) {
|
2012-07-14 00:21:29 +02:00
|
|
|
int i = 0;
|
2010-05-18 17:58:33 +02:00
|
|
|
|
2012-07-14 00:21:29 +02:00
|
|
|
while (++i < n) {
|
|
|
|
p[0] = p[1] = i << 1;
|
|
|
|
p += 2;
|
|
|
|
}
|
2010-05-18 17:58:33 +02:00
|
|
|
|
2012-07-14 00:21:29 +02:00
|
|
|
p[0] = p[1] = 0;
|
2010-05-18 17:58:33 +02:00
|
|
|
}
|
|
|
|
|
2012-07-14 00:21:29 +02:00
|
|
|
static void init_bit_trees() {
|
|
|
|
init_bit_tree(cat1, 1);
|
|
|
|
init_bit_tree(cat2, 2);
|
|
|
|
init_bit_tree(cat3, 3);
|
|
|
|
init_bit_tree(cat4, 4);
|
|
|
|
init_bit_tree(cat5, 5);
|
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
|
|
|
init_bit_tree(cat6, 14);
|
2010-05-18 17:58:33 +02:00
|
|
|
}
|
|
|
|
|
2013-04-19 20:14:33 +02:00
|
|
|
vp9_extra_bit vp9_extra_bits[12] = {
|
2012-07-14 00:21:29 +02:00
|
|
|
{ 0, 0, 0, 0},
|
|
|
|
{ 0, 0, 0, 1},
|
|
|
|
{ 0, 0, 0, 2},
|
|
|
|
{ 0, 0, 0, 3},
|
|
|
|
{ 0, 0, 0, 4},
|
|
|
|
{ cat1, Pcat1, 1, 5},
|
|
|
|
{ cat2, Pcat2, 2, 7},
|
|
|
|
{ cat3, Pcat3, 3, 11},
|
|
|
|
{ cat4, Pcat4, 4, 19},
|
|
|
|
{ cat5, Pcat5, 5, 35},
|
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
|
|
|
{ cat6, Pcat6, 14, 67},
|
2012-07-14 00:21:29 +02:00
|
|
|
{ 0, 0, 0, 0}
|
2010-05-18 17:58:33 +02:00
|
|
|
};
|
2011-08-16 22:21:21 +02:00
|
|
|
|
2012-11-28 19:41:40 +01:00
|
|
|
#include "vp9/common/vp9_default_coef_probs.h"
|
2010-05-18 17:58:33 +02:00
|
|
|
|
2013-02-11 20:19:21 +01:00
|
|
|
// This function updates and then returns n AC coefficient context
|
|
|
|
// This is currently a placeholder function to allow experimentation
|
|
|
|
// using various context models based on the energy earlier tokens
|
|
|
|
// within the current block.
|
|
|
|
//
|
|
|
|
// For now it just returns the previously used context.
|
2013-03-27 00:46:09 +01:00
|
|
|
#define MAX_NEIGHBORS 2
|
|
|
|
int vp9_get_coef_context(const int *scan, const int *neighbors,
|
|
|
|
int nb_pad, uint8_t *token_cache, int c, int l) {
|
|
|
|
int eob = l;
|
|
|
|
assert(nb_pad == MAX_NEIGHBORS);
|
2013-03-28 17:24:29 +01:00
|
|
|
if (c == eob) {
|
2013-03-27 00:46:09 +01:00
|
|
|
return 0;
|
|
|
|
} else {
|
|
|
|
int ctx;
|
|
|
|
assert(neighbors[MAX_NEIGHBORS * c + 0] >= 0);
|
|
|
|
if (neighbors[MAX_NEIGHBORS * c + 1] >= 0) {
|
2013-03-28 18:42:23 +01:00
|
|
|
ctx = (1 + token_cache[scan[neighbors[MAX_NEIGHBORS * c + 0]]] +
|
|
|
|
token_cache[scan[neighbors[MAX_NEIGHBORS * c + 1]]]) >> 1;
|
2013-02-19 19:12:00 +01:00
|
|
|
} else {
|
2013-03-28 18:42:23 +01:00
|
|
|
ctx = token_cache[scan[neighbors[MAX_NEIGHBORS * c + 0]]];
|
2013-02-19 19:12:00 +01:00
|
|
|
}
|
2013-03-27 00:46:09 +01:00
|
|
|
return vp9_pt_energy_class[ctx];
|
2013-02-11 20:19:21 +01:00
|
|
|
}
|
|
|
|
};
|
|
|
|
|
2012-10-31 01:53:32 +01:00
|
|
|
void vp9_default_coef_probs(VP9_COMMON *pc) {
|
2013-03-13 19:03:17 +01:00
|
|
|
#if CONFIG_MODELCOEFPROB
|
|
|
|
int b, r, c, p;
|
|
|
|
#endif
|
|
|
|
#if CONFIG_MODELCOEFPROB
|
|
|
|
for (b = 0; b < BLOCK_TYPES; ++b)
|
|
|
|
for (r = 0; r < REF_TYPES; ++r)
|
|
|
|
for (c = 0; c < COEF_BANDS; ++c)
|
|
|
|
for (p = 0; p < PREV_COEF_CONTEXTS; ++p) {
|
|
|
|
int t;
|
|
|
|
for (t = 0; t < UNCONSTRAINED_NODES; t++)
|
|
|
|
pc->fc.coef_probs_4x4[b][r][c][p][t] =
|
|
|
|
default_coef_probs_4x4[b][r][c][p][t];
|
|
|
|
vp9_get_model_distribution(
|
|
|
|
default_coef_probs_4x4[b][r][c][p][UNCONSTRAINED_NODES - 1],
|
|
|
|
pc->fc.coef_probs_4x4[b][r][c][p], b, r);
|
|
|
|
for (t = 0; t < UNCONSTRAINED_NODES; t++)
|
|
|
|
pc->fc.coef_probs_8x8[b][r][c][p][t] =
|
|
|
|
default_coef_probs_8x8[b][r][c][p][t];
|
|
|
|
vp9_get_model_distribution(
|
|
|
|
default_coef_probs_8x8[b][r][c][p][UNCONSTRAINED_NODES - 1],
|
|
|
|
pc->fc.coef_probs_8x8[b][r][c][p], b, r);
|
|
|
|
for (t = 0; t < UNCONSTRAINED_NODES; t++)
|
|
|
|
pc->fc.coef_probs_16x16[b][r][c][p][t] =
|
|
|
|
default_coef_probs_16x16[b][r][c][p][t];
|
|
|
|
vp9_get_model_distribution(
|
|
|
|
default_coef_probs_16x16[b][r][c][p][UNCONSTRAINED_NODES - 1],
|
|
|
|
pc->fc.coef_probs_16x16[b][r][c][p], b, r);
|
|
|
|
for (t = 0; t < UNCONSTRAINED_NODES; t++)
|
|
|
|
pc->fc.coef_probs_32x32[b][r][c][p][t] =
|
|
|
|
default_coef_probs_32x32[b][r][c][p][t];
|
|
|
|
vp9_get_model_distribution(
|
|
|
|
default_coef_probs_32x32[b][r][c][p][UNCONSTRAINED_NODES - 1],
|
|
|
|
pc->fc.coef_probs_32x32[b][r][c][p], b, r);
|
|
|
|
}
|
|
|
|
#else
|
2013-03-08 05:56:34 +01:00
|
|
|
vpx_memcpy(pc->fc.coef_probs_4x4, default_coef_probs_4x4,
|
|
|
|
sizeof(pc->fc.coef_probs_4x4));
|
|
|
|
vpx_memcpy(pc->fc.coef_probs_8x8, default_coef_probs_8x8,
|
|
|
|
sizeof(pc->fc.coef_probs_8x8));
|
|
|
|
vpx_memcpy(pc->fc.coef_probs_16x16, default_coef_probs_16x16,
|
|
|
|
sizeof(pc->fc.coef_probs_16x16));
|
|
|
|
vpx_memcpy(pc->fc.coef_probs_32x32, default_coef_probs_32x32,
|
|
|
|
sizeof(pc->fc.coef_probs_32x32));
|
2013-03-13 19:03:17 +01:00
|
|
|
#endif
|
2013-03-28 18:42:23 +01:00
|
|
|
#if CONFIG_CODE_ZEROGROUP
|
|
|
|
vpx_memcpy(pc->fc.zpc_probs_4x4, default_zpc_probs_4x4,
|
|
|
|
sizeof(pc->fc.zpc_probs_4x4));
|
|
|
|
vpx_memcpy(pc->fc.zpc_probs_8x8, default_zpc_probs_8x8,
|
|
|
|
sizeof(pc->fc.zpc_probs_8x8));
|
|
|
|
vpx_memcpy(pc->fc.zpc_probs_16x16, default_zpc_probs_16x16,
|
|
|
|
sizeof(pc->fc.zpc_probs_16x16));
|
|
|
|
vpx_memcpy(pc->fc.zpc_probs_32x32, default_zpc_probs_32x32,
|
|
|
|
sizeof(pc->fc.zpc_probs_32x32));
|
|
|
|
#endif
|
2011-02-14 23:18:18 +01:00
|
|
|
}
|
2010-05-18 17:58:33 +02:00
|
|
|
|
2013-03-27 00:46:09 +01:00
|
|
|
// Neighborhood 5-tuples for various scans and blocksizes,
|
|
|
|
// in {top, left, topleft, topright, bottomleft} order
|
|
|
|
// for each position in raster scan order.
|
|
|
|
// -1 indicates the neighbor does not exist.
|
|
|
|
DECLARE_ALIGNED(16, int,
|
|
|
|
vp9_default_zig_zag1d_4x4_neighbors[16 * MAX_NEIGHBORS]);
|
|
|
|
DECLARE_ALIGNED(16, int,
|
|
|
|
vp9_col_scan_4x4_neighbors[16 * MAX_NEIGHBORS]);
|
|
|
|
DECLARE_ALIGNED(16, int,
|
|
|
|
vp9_row_scan_4x4_neighbors[16 * MAX_NEIGHBORS]);
|
2013-03-25 20:30:00 +01:00
|
|
|
DECLARE_ALIGNED(16, int,
|
|
|
|
vp9_col_scan_8x8_neighbors[64 * MAX_NEIGHBORS]);
|
|
|
|
DECLARE_ALIGNED(16, int,
|
|
|
|
vp9_row_scan_8x8_neighbors[64 * MAX_NEIGHBORS]);
|
2013-03-27 00:46:09 +01:00
|
|
|
DECLARE_ALIGNED(16, int,
|
|
|
|
vp9_default_zig_zag1d_8x8_neighbors[64 * MAX_NEIGHBORS]);
|
2013-03-25 20:30:00 +01:00
|
|
|
DECLARE_ALIGNED(16, int,
|
|
|
|
vp9_col_scan_16x16_neighbors[256 * MAX_NEIGHBORS]);
|
|
|
|
DECLARE_ALIGNED(16, int,
|
|
|
|
vp9_row_scan_16x16_neighbors[256 * MAX_NEIGHBORS]);
|
2013-03-27 00:46:09 +01:00
|
|
|
DECLARE_ALIGNED(16, int,
|
|
|
|
vp9_default_zig_zag1d_16x16_neighbors[256 * MAX_NEIGHBORS]);
|
|
|
|
DECLARE_ALIGNED(16, int,
|
|
|
|
vp9_default_zig_zag1d_32x32_neighbors[1024 * MAX_NEIGHBORS]);
|
|
|
|
|
|
|
|
static int find_in_scan(const int *scan, int l, int idx) {
|
|
|
|
int n, l2 = l * l;
|
|
|
|
for (n = 0; n < l2; n++) {
|
|
|
|
int rc = scan[n];
|
|
|
|
if (rc == idx)
|
|
|
|
return n;
|
|
|
|
}
|
|
|
|
assert(0);
|
|
|
|
return -1;
|
|
|
|
}
|
|
|
|
static void init_scan_neighbors(const int *scan, int l, int *neighbors,
|
|
|
|
int max_neighbors) {
|
|
|
|
int l2 = l * l;
|
|
|
|
int n, i, j;
|
|
|
|
|
|
|
|
for (n = 0; n < l2; n++) {
|
|
|
|
int rc = scan[n];
|
|
|
|
assert(max_neighbors == MAX_NEIGHBORS);
|
|
|
|
i = rc / l;
|
|
|
|
j = rc % l;
|
|
|
|
if (i > 0 && j > 0) {
|
|
|
|
// col/row scan is used for adst/dct, and generally means that
|
|
|
|
// energy decreases to zero much faster in the dimension in
|
|
|
|
// which ADST is used compared to the direction in which DCT
|
|
|
|
// is used. Likewise, we find much higher correlation between
|
|
|
|
// coefficients within the direction in which DCT is used.
|
|
|
|
// Therefore, if we use ADST/DCT, prefer the DCT neighbor coeff
|
|
|
|
// as a context. If ADST or DCT is used in both directions, we
|
|
|
|
// use the combination of the two as a context.
|
|
|
|
int a = find_in_scan(scan, l, (i - 1) * l + j);
|
|
|
|
int b = find_in_scan(scan, l, i * l + j - 1);
|
2013-03-25 20:30:00 +01:00
|
|
|
if (scan == vp9_col_scan_4x4 || scan == vp9_col_scan_8x8 ||
|
|
|
|
scan == vp9_col_scan_16x16) {
|
|
|
|
neighbors[max_neighbors * n + 0] = a;
|
|
|
|
neighbors[max_neighbors * n + 1] = -1;
|
|
|
|
} else if (scan == vp9_row_scan_4x4 || scan == vp9_row_scan_8x8 ||
|
|
|
|
scan == vp9_row_scan_16x16) {
|
|
|
|
neighbors[max_neighbors * n + 0] = b;
|
2013-03-27 00:46:09 +01:00
|
|
|
neighbors[max_neighbors * n + 1] = -1;
|
|
|
|
} else {
|
|
|
|
neighbors[max_neighbors * n + 0] = a;
|
|
|
|
neighbors[max_neighbors * n + 1] = b;
|
|
|
|
}
|
|
|
|
} else if (i > 0) {
|
|
|
|
neighbors[max_neighbors * n + 0] = find_in_scan(scan, l, (i - 1) * l + j);
|
|
|
|
neighbors[max_neighbors * n + 1] = -1;
|
|
|
|
} else if (j > 0) {
|
|
|
|
neighbors[max_neighbors * n + 0] =
|
|
|
|
find_in_scan(scan, l, i * l + j - 1);
|
|
|
|
neighbors[max_neighbors * n + 1] = -1;
|
|
|
|
} else {
|
|
|
|
assert(n == 0);
|
|
|
|
// dc predictor doesn't use previous tokens
|
|
|
|
neighbors[max_neighbors * n + 0] = -1;
|
|
|
|
}
|
|
|
|
assert(neighbors[max_neighbors * n + 0] < n);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
void vp9_init_neighbors() {
|
|
|
|
init_scan_neighbors(vp9_default_zig_zag1d_4x4, 4,
|
|
|
|
vp9_default_zig_zag1d_4x4_neighbors, MAX_NEIGHBORS);
|
|
|
|
init_scan_neighbors(vp9_row_scan_4x4, 4,
|
|
|
|
vp9_row_scan_4x4_neighbors, MAX_NEIGHBORS);
|
|
|
|
init_scan_neighbors(vp9_col_scan_4x4, 4,
|
|
|
|
vp9_col_scan_4x4_neighbors, MAX_NEIGHBORS);
|
|
|
|
init_scan_neighbors(vp9_default_zig_zag1d_8x8, 8,
|
|
|
|
vp9_default_zig_zag1d_8x8_neighbors, MAX_NEIGHBORS);
|
2013-03-25 20:30:00 +01:00
|
|
|
init_scan_neighbors(vp9_row_scan_8x8, 8,
|
|
|
|
vp9_row_scan_8x8_neighbors, MAX_NEIGHBORS);
|
|
|
|
init_scan_neighbors(vp9_col_scan_8x8, 8,
|
|
|
|
vp9_col_scan_8x8_neighbors, MAX_NEIGHBORS);
|
2013-03-27 00:46:09 +01:00
|
|
|
init_scan_neighbors(vp9_default_zig_zag1d_16x16, 16,
|
|
|
|
vp9_default_zig_zag1d_16x16_neighbors, MAX_NEIGHBORS);
|
2013-03-25 20:30:00 +01:00
|
|
|
init_scan_neighbors(vp9_row_scan_16x16, 16,
|
|
|
|
vp9_row_scan_16x16_neighbors, MAX_NEIGHBORS);
|
|
|
|
init_scan_neighbors(vp9_col_scan_16x16, 16,
|
|
|
|
vp9_col_scan_16x16_neighbors, MAX_NEIGHBORS);
|
2013-03-27 00:46:09 +01:00
|
|
|
init_scan_neighbors(vp9_default_zig_zag1d_32x32, 32,
|
|
|
|
vp9_default_zig_zag1d_32x32_neighbors, MAX_NEIGHBORS);
|
|
|
|
}
|
|
|
|
|
|
|
|
const int *vp9_get_coef_neighbors_handle(const int *scan, int *pad) {
|
|
|
|
if (scan == vp9_default_zig_zag1d_4x4) {
|
|
|
|
*pad = MAX_NEIGHBORS;
|
|
|
|
return vp9_default_zig_zag1d_4x4_neighbors;
|
|
|
|
} else if (scan == vp9_row_scan_4x4) {
|
|
|
|
*pad = MAX_NEIGHBORS;
|
|
|
|
return vp9_row_scan_4x4_neighbors;
|
|
|
|
} else if (scan == vp9_col_scan_4x4) {
|
|
|
|
*pad = MAX_NEIGHBORS;
|
|
|
|
return vp9_col_scan_4x4_neighbors;
|
|
|
|
} else if (scan == vp9_default_zig_zag1d_8x8) {
|
|
|
|
*pad = MAX_NEIGHBORS;
|
|
|
|
return vp9_default_zig_zag1d_8x8_neighbors;
|
2013-03-25 20:30:00 +01:00
|
|
|
} else if (scan == vp9_row_scan_8x8) {
|
|
|
|
*pad = 2;
|
|
|
|
return vp9_row_scan_8x8_neighbors;
|
|
|
|
} else if (scan == vp9_col_scan_8x8) {
|
|
|
|
*pad = 2;
|
|
|
|
return vp9_col_scan_8x8_neighbors;
|
2013-03-27 00:46:09 +01:00
|
|
|
} else if (scan == vp9_default_zig_zag1d_16x16) {
|
|
|
|
*pad = MAX_NEIGHBORS;
|
|
|
|
return vp9_default_zig_zag1d_16x16_neighbors;
|
2013-03-25 20:30:00 +01:00
|
|
|
} else if (scan == vp9_row_scan_16x16) {
|
|
|
|
*pad = 2;
|
|
|
|
return vp9_row_scan_16x16_neighbors;
|
|
|
|
} else if (scan == vp9_col_scan_16x16) {
|
|
|
|
*pad = 2;
|
|
|
|
return vp9_col_scan_16x16_neighbors;
|
2013-03-27 00:46:09 +01:00
|
|
|
} else if (scan == vp9_default_zig_zag1d_32x32) {
|
|
|
|
*pad = MAX_NEIGHBORS;
|
|
|
|
return vp9_default_zig_zag1d_32x32_neighbors;
|
|
|
|
} else {
|
|
|
|
assert(0);
|
|
|
|
return NULL;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2012-10-31 00:25:53 +01:00
|
|
|
void vp9_coef_tree_initialize() {
|
2013-03-27 00:46:09 +01:00
|
|
|
vp9_init_neighbors();
|
2012-07-14 00:21:29 +02:00
|
|
|
init_bit_trees();
|
2012-10-31 01:12:12 +01:00
|
|
|
vp9_tokens_from_tree(vp9_coef_encodings, vp9_coef_tree);
|
2013-02-20 19:16:24 +01:00
|
|
|
}
|
|
|
|
|
2012-07-14 00:21:29 +02:00
|
|
|
// #define COEF_COUNT_TESTING
|
2012-06-06 00:25:07 +02:00
|
|
|
|
|
|
|
#define COEF_COUNT_SAT 24
|
|
|
|
#define COEF_MAX_UPDATE_FACTOR 112
|
|
|
|
#define COEF_COUNT_SAT_KEY 24
|
|
|
|
#define COEF_MAX_UPDATE_FACTOR_KEY 112
|
|
|
|
#define COEF_COUNT_SAT_AFTER_KEY 24
|
|
|
|
#define COEF_MAX_UPDATE_FACTOR_AFTER_KEY 128
|
|
|
|
|
2013-02-20 19:16:24 +01:00
|
|
|
static void adapt_coef_probs(vp9_coeff_probs *dst_coef_probs,
|
|
|
|
vp9_coeff_probs *pre_coef_probs,
|
2013-03-26 16:34:56 +01:00
|
|
|
int qindex, vp9_coeff_count *coef_counts,
|
2013-03-27 00:46:09 +01:00
|
|
|
unsigned int (*eob_branch_count)[REF_TYPES]
|
|
|
|
[COEF_BANDS]
|
|
|
|
[PREV_COEF_CONTEXTS],
|
2013-02-20 19:16:24 +01:00
|
|
|
int count_sat, int update_factor) {
|
2013-02-19 22:36:38 +01:00
|
|
|
int t, i, j, k, l, count;
|
2012-07-14 00:21:29 +02:00
|
|
|
unsigned int branch_ct[ENTROPY_NODES][2];
|
2012-10-31 22:40:53 +01:00
|
|
|
vp9_prob coef_probs[ENTROPY_NODES];
|
2012-07-14 00:21:29 +02:00
|
|
|
int factor;
|
2013-03-13 19:03:17 +01:00
|
|
|
#if CONFIG_MODELCOEFPROB && MODEL_BASED_ADAPT
|
|
|
|
int entropy_nodes_adapt = UNCONSTRAINED_ADAPT_NODES;
|
|
|
|
#else
|
|
|
|
int entropy_nodes_adapt = ENTROPY_NODES;
|
|
|
|
#endif
|
2012-12-08 01:09:59 +01:00
|
|
|
|
2013-03-26 16:34:56 +01:00
|
|
|
for (i = 0; i < BLOCK_TYPES; ++i)
|
2013-02-19 22:36:38 +01:00
|
|
|
for (j = 0; j < REF_TYPES; ++j)
|
|
|
|
for (k = 0; k < COEF_BANDS; ++k)
|
|
|
|
for (l = 0; l < PREV_COEF_CONTEXTS; ++l) {
|
|
|
|
if (l >= 3 && k == 0)
|
|
|
|
continue;
|
2013-03-10 21:39:30 +01:00
|
|
|
vp9_tree_probs_from_distribution(vp9_coef_tree,
|
2013-02-19 22:36:38 +01:00
|
|
|
coef_probs, branch_ct,
|
2013-03-10 21:39:30 +01:00
|
|
|
coef_counts[i][j][k][l], 0);
|
2013-03-27 00:46:09 +01:00
|
|
|
branch_ct[0][1] = eob_branch_count[i][j][k][l] - branch_ct[0][0];
|
|
|
|
coef_probs[0] = get_binary_prob(branch_ct[0][0], branch_ct[0][1]);
|
2013-03-13 19:03:17 +01:00
|
|
|
for (t = 0; t < entropy_nodes_adapt; ++t) {
|
2013-02-19 22:36:38 +01:00
|
|
|
count = branch_ct[t][0] + branch_ct[t][1];
|
|
|
|
count = count > count_sat ? count_sat : count;
|
|
|
|
factor = (update_factor * count / count_sat);
|
|
|
|
dst_coef_probs[i][j][k][l][t] =
|
|
|
|
weighted_prob(pre_coef_probs[i][j][k][l][t],
|
|
|
|
coef_probs[t], factor);
|
2013-03-13 19:03:17 +01:00
|
|
|
#if CONFIG_MODELCOEFPROB && MODEL_BASED_ADAPT
|
|
|
|
if (t == UNCONSTRAINED_NODES - 1)
|
|
|
|
vp9_get_model_distribution(
|
|
|
|
dst_coef_probs[i][j][k][l][UNCONSTRAINED_NODES - 1],
|
|
|
|
dst_coef_probs[i][j][k][l], i, j);
|
|
|
|
#endif
|
2013-02-19 22:36:38 +01:00
|
|
|
}
|
2012-12-08 01:09:59 +01:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
void vp9_adapt_coef_probs(VP9_COMMON *cm) {
|
2013-04-26 20:13:26 +02:00
|
|
|
#ifndef DISABLE_COEF_ADAPT
|
2012-07-14 00:21:29 +02:00
|
|
|
int count_sat;
|
2012-12-08 01:09:59 +01:00
|
|
|
int update_factor; /* denominator 256 */
|
2012-07-14 00:21:29 +02:00
|
|
|
|
|
|
|
if (cm->frame_type == KEY_FRAME) {
|
|
|
|
update_factor = COEF_MAX_UPDATE_FACTOR_KEY;
|
|
|
|
count_sat = COEF_COUNT_SAT_KEY;
|
|
|
|
} else if (cm->last_frame_type == KEY_FRAME) {
|
|
|
|
update_factor = COEF_MAX_UPDATE_FACTOR_AFTER_KEY; /* adapt quickly */
|
|
|
|
count_sat = COEF_COUNT_SAT_AFTER_KEY;
|
|
|
|
} else {
|
|
|
|
update_factor = COEF_MAX_UPDATE_FACTOR;
|
|
|
|
count_sat = COEF_COUNT_SAT;
|
|
|
|
}
|
2012-06-06 00:25:07 +02:00
|
|
|
|
2013-02-20 19:16:24 +01:00
|
|
|
adapt_coef_probs(cm->fc.coef_probs_4x4, cm->fc.pre_coef_probs_4x4,
|
2013-03-26 16:34:56 +01:00
|
|
|
cm->base_qindex, cm->fc.coef_counts_4x4,
|
2013-03-27 00:46:09 +01:00
|
|
|
cm->fc.eob_branch_counts[TX_4X4],
|
2013-02-20 19:16:24 +01:00
|
|
|
count_sat, update_factor);
|
|
|
|
adapt_coef_probs(cm->fc.coef_probs_8x8, cm->fc.pre_coef_probs_8x8,
|
2013-03-26 16:34:56 +01:00
|
|
|
cm->base_qindex, cm->fc.coef_counts_8x8,
|
2013-03-27 00:46:09 +01:00
|
|
|
cm->fc.eob_branch_counts[TX_8X8],
|
2013-02-20 19:16:24 +01:00
|
|
|
count_sat, update_factor);
|
|
|
|
adapt_coef_probs(cm->fc.coef_probs_16x16, cm->fc.pre_coef_probs_16x16,
|
2013-03-26 16:34:56 +01:00
|
|
|
cm->base_qindex, cm->fc.coef_counts_16x16,
|
2013-03-27 00:46:09 +01:00
|
|
|
cm->fc.eob_branch_counts[TX_16X16],
|
2013-02-20 19:16:24 +01:00
|
|
|
count_sat, update_factor);
|
|
|
|
adapt_coef_probs(cm->fc.coef_probs_32x32, cm->fc.pre_coef_probs_32x32,
|
2013-03-26 16:34:56 +01:00
|
|
|
cm->base_qindex, cm->fc.coef_counts_32x32,
|
2013-03-27 00:46:09 +01:00
|
|
|
cm->fc.eob_branch_counts[TX_32X32],
|
2013-02-20 19:16:24 +01:00
|
|
|
count_sat, update_factor);
|
2013-04-26 20:13:26 +02:00
|
|
|
#endif
|
2013-02-20 19:16:24 +01:00
|
|
|
}
|
|
|
|
|
2013-03-28 18:42:23 +01:00
|
|
|
#if CONFIG_CODE_ZEROGROUP
|
|
|
|
OrientationType vp9_get_orientation(int rc, TX_SIZE tx_size) {
|
|
|
|
int i = rc >> (tx_size + 2);
|
|
|
|
int j = rc & ((4 << tx_size) - 1);
|
|
|
|
if (i > 2 * j)
|
|
|
|
return VERTICAL;
|
|
|
|
else if (j > 2 * i)
|
|
|
|
return HORIZONTAL;
|
|
|
|
else
|
|
|
|
return DIAGONAL;
|
|
|
|
/*
|
|
|
|
if (i == 0 && j == 0) return DIAGONAL;
|
|
|
|
while (i > 1 || j > 1) {
|
|
|
|
i >>= 1;
|
|
|
|
j >>= 1;
|
|
|
|
}
|
|
|
|
if (i == 0 && j == 1)
|
|
|
|
return HORIZONTAL; // horizontal
|
|
|
|
else if (i == 1 && j == 1)
|
|
|
|
return DIAGONAL; // diagonal
|
|
|
|
else if (i == 1 && j == 0)
|
|
|
|
return VERTICAL; // vertical
|
|
|
|
assert(0);
|
|
|
|
*/
|
|
|
|
}
|
|
|
|
|
|
|
|
int vp9_use_eoo(int c, int seg_eob, const int *scan,
|
|
|
|
TX_SIZE tx_size, int *is_last_zero, int *is_eoo) {
|
|
|
|
// NOTE: returning 0 from this function will turn off eoo symbols
|
|
|
|
// For instance we can experiment with turning eoo off for smaller blocks
|
|
|
|
// and/or lower bands
|
|
|
|
int o = vp9_get_orientation(scan[c], tx_size);
|
|
|
|
int band = get_coef_band(scan, tx_size, c);
|
|
|
|
int use_eoo = (!is_last_zero[o] &&
|
|
|
|
!is_eoo[o] &&
|
|
|
|
band <= ZPC_EOO_BAND_UPPER &&
|
|
|
|
band >= ZPC_EOO_BAND_LOWER &&
|
|
|
|
get_zpc_used(tx_size) &&
|
|
|
|
seg_eob - c > (ZPC_USEEOO_THRESH << tx_size) &&
|
|
|
|
is_eoo[0] + is_eoo[1] + is_eoo[2] < 2);
|
|
|
|
return use_eoo;
|
|
|
|
}
|
|
|
|
|
|
|
|
int vp9_is_eoo(int c, int eob, const int *scan, TX_SIZE tx_size,
|
|
|
|
const int16_t *qcoeff_ptr, int *last_nz_pos) {
|
|
|
|
int rc = scan[c];
|
|
|
|
int o = vp9_get_orientation(rc, tx_size);
|
|
|
|
int eoo = c > last_nz_pos[o];
|
|
|
|
return eoo;
|
|
|
|
}
|
|
|
|
|
|
|
|
static void adapt_zpc_probs_common(VP9_COMMON *cm,
|
|
|
|
TX_SIZE tx_size,
|
|
|
|
int count_sat,
|
|
|
|
int update_factor) {
|
|
|
|
int r, b, p, n;
|
|
|
|
int count, factor;
|
|
|
|
vp9_zpc_probs *zpc_probs;
|
|
|
|
vp9_zpc_probs *pre_zpc_probs;
|
|
|
|
vp9_zpc_count *zpc_counts;
|
|
|
|
if (!get_zpc_used(tx_size)) return;
|
|
|
|
if (tx_size == TX_32X32) {
|
|
|
|
zpc_probs = &cm->fc.zpc_probs_32x32;
|
|
|
|
pre_zpc_probs = &cm->fc.pre_zpc_probs_32x32;
|
|
|
|
zpc_counts = &cm->fc.zpc_counts_32x32;
|
|
|
|
} else if (tx_size == TX_16X16) {
|
|
|
|
zpc_probs = &cm->fc.zpc_probs_16x16;
|
|
|
|
pre_zpc_probs = &cm->fc.pre_zpc_probs_16x16;
|
|
|
|
zpc_counts = &cm->fc.zpc_counts_16x16;
|
|
|
|
} else if (tx_size == TX_8X8) {
|
|
|
|
zpc_probs = &cm->fc.zpc_probs_8x8;
|
|
|
|
pre_zpc_probs = &cm->fc.pre_zpc_probs_8x8;
|
|
|
|
zpc_counts = &cm->fc.zpc_counts_8x8;
|
|
|
|
} else {
|
|
|
|
zpc_probs = &cm->fc.zpc_probs_4x4;
|
|
|
|
pre_zpc_probs = &cm->fc.pre_zpc_probs_4x4;
|
|
|
|
zpc_counts = &cm->fc.zpc_counts_4x4;
|
|
|
|
}
|
|
|
|
for (r = 0; r < REF_TYPES; ++r) {
|
|
|
|
for (b = 0; b < ZPC_BANDS; ++b) {
|
|
|
|
for (p = 0; p < ZPC_PTOKS; ++p) {
|
|
|
|
for (n = 0; n < ZPC_NODES; ++n) {
|
|
|
|
vp9_prob prob = get_binary_prob((*zpc_counts)[r][b][p][n][0],
|
|
|
|
(*zpc_counts)[r][b][p][n][1]);
|
|
|
|
count = (*zpc_counts)[r][b][p][n][0] + (*zpc_counts)[r][b][p][n][1];
|
|
|
|
count = count > count_sat ? count_sat : count;
|
|
|
|
factor = (update_factor * count / count_sat);
|
|
|
|
(*zpc_probs)[r][b][p][n] = weighted_prob(
|
|
|
|
(*pre_zpc_probs)[r][b][p][n], prob, factor);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
// #define ZPC_COUNT_TESTING
|
|
|
|
void vp9_adapt_zpc_probs(VP9_COMMON *cm) {
|
|
|
|
int count_sat;
|
|
|
|
int update_factor; /* denominator 256 */
|
|
|
|
|
|
|
|
if (cm->frame_type == KEY_FRAME) {
|
|
|
|
update_factor = COEF_MAX_UPDATE_FACTOR_KEY;
|
|
|
|
count_sat = COEF_COUNT_SAT_KEY;
|
|
|
|
} else if (cm->last_frame_type == KEY_FRAME) {
|
|
|
|
update_factor = COEF_MAX_UPDATE_FACTOR_AFTER_KEY; /* adapt quickly */
|
|
|
|
count_sat = COEF_COUNT_SAT_AFTER_KEY;
|
|
|
|
} else {
|
|
|
|
update_factor = COEF_MAX_UPDATE_FACTOR;
|
|
|
|
count_sat = COEF_COUNT_SAT;
|
|
|
|
}
|
|
|
|
|
|
|
|
adapt_zpc_probs_common(cm, TX_4X4, count_sat, update_factor);
|
|
|
|
adapt_zpc_probs_common(cm, TX_8X8, count_sat, update_factor);
|
|
|
|
adapt_zpc_probs_common(cm, TX_16X16, count_sat, update_factor);
|
|
|
|
adapt_zpc_probs_common(cm, TX_32X32, count_sat, update_factor);
|
|
|
|
}
|
|
|
|
#endif // CONFIG_CODE_ZEROGROUP
|