| /* |
| * Copyright (c) 2010 The WebM project authors. All Rights Reserved. |
| * |
| * Use of this source code is governed by a BSD-style license |
| * that can be found in the LICENSE file in the root of the source |
| * tree. An additional intellectual property rights grant can be found |
| * in the file PATENTS. All contributing project authors may |
| * be found in the AUTHORS file in the root of the source tree. |
| */ |
| |
| #include "vp9/common/vp9_entropy.h" |
| #include "vp9/common/vp9_blockd.h" |
| #include "vp9/common/vp9_onyxc_int.h" |
| #include "vp9/common/vp9_entropymode.h" |
| #include "vpx_mem/vpx_mem.h" |
| #include "vpx/vpx_integer.h" |
| #include "vp9/common/vp9_coefupdateprobs.h" |
| |
| DECLARE_ALIGNED(16, const uint8_t, vp9_norm[256]) = { |
| 0, 7, 6, 6, 5, 5, 5, 5, 4, 4, 4, 4, 4, 4, 4, 4, |
| 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, |
| 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, |
| 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, |
| 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, |
| 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, |
| 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, |
| 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, |
| 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| }; |
| |
| // Unified coefficient band structure used by all block sizes |
| DECLARE_ALIGNED(16, const int, vp9_coef_bands8x8[64]) = { |
| 0, 1, 2, 3, 4, 4, 5, 5, |
| 1, 2, 3, 4, 4, 5, 5, 5, |
| 2, 3, 4, 4, 5, 5, 5, 5, |
| 3, 4, 4, 5, 5, 5, 5, 5, |
| 4, 4, 5, 5, 5, 5, 5, 5, |
| 4, 5, 5, 5, 5, 5, 5, 5, |
| 5, 5, 5, 5, 5, 5, 5, 5, |
| 5, 5, 5, 5, 5, 5, 5, 5 |
| }; |
| |
| DECLARE_ALIGNED(16, const uint8_t, |
| vp9_coefband_trans_8x8plus[MAXBAND_INDEX + 1]) = { |
| 0, 1, 1, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, |
| 4, 4, 4, 4, 4, 5 |
| }; |
| |
| DECLARE_ALIGNED(16, const int, vp9_coef_bands4x4[16]) = { |
| 0, 1, 2, 3, |
| 1, 2, 3, 4, |
| 2, 3, 4, 5, |
| 3, 4, 5, 5 |
| }; |
| |
| DECLARE_ALIGNED(16, const uint8_t, |
| vp9_coefband_trans_4x4[MAXBAND_INDEX + 1]) = { |
| 0, 1, 1, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, |
| 4, 4, 4, 4, 4, 5 |
| }; |
| |
| DECLARE_ALIGNED(16, const uint8_t, vp9_pt_energy_class[MAX_ENTROPY_TOKENS]) = { |
| 0, 1, 2, 3, 3, 4, 4, 5, 5, 5, 5, 5 |
| }; |
| |
| #if CONFIG_SCATTERSCAN |
| DECLARE_ALIGNED(16, const int, vp9_default_zig_zag1d_4x4[16]) = { |
| 0, 4, 1, 5, |
| 8, 2, 12, 9, |
| 3, 6, 13, 10, |
| 7, 14, 11, 15, |
| }; |
| |
| DECLARE_ALIGNED(16, const int, vp9_col_scan_4x4[16]) = { |
| 0, 4, 8, 1, |
| 12, 5, 9, 2, |
| 13, 6, 10, 3, |
| 7, 14, 11, 15, |
| }; |
| |
| DECLARE_ALIGNED(16, const int, vp9_row_scan_4x4[16]) = { |
| 0, 1, 4, 2, |
| 5, 3, 6, 8, |
| 9, 7, 12, 10, |
| 13, 11, 14, 15, |
| }; |
| |
| DECLARE_ALIGNED(64, const int, vp9_default_zig_zag1d_8x8[64]) = { |
| 0, 8, 1, 16, 9, 2, 17, 24, |
| 10, 3, 18, 25, 32, 11, 4, 26, |
| 33, 19, 40, 12, 34, 27, 5, 41, |
| 20, 48, 13, 35, 42, 28, 21, 6, |
| 49, 56, 36, 43, 29, 7, 14, 50, |
| 57, 44, 22, 37, 15, 51, 58, 30, |
| 45, 23, 52, 59, 38, 31, 60, 53, |
| 46, 39, 61, 54, 47, 62, 55, 63, |
| }; |
| |
| DECLARE_ALIGNED(16, const int, vp9_col_scan_8x8[64]) = { |
| 0, 8, 16, 1, 24, 9, 32, 17, |
| 2, 40, 25, 10, 33, 18, 48, 3, |
| 26, 41, 11, 56, 19, 34, 4, 49, |
| 27, 42, 12, 35, 20, 57, 50, 28, |
| 5, 43, 13, 36, 58, 51, 21, 44, |
| 6, 29, 59, 37, 14, 52, 22, 7, |
| 45, 60, 30, 15, 38, 53, 23, 46, |
| 31, 61, 39, 54, 47, 62, 55, 63, |
| }; |
| |
| DECLARE_ALIGNED(16, const int, vp9_row_scan_8x8[64]) = { |
| 0, 1, 2, 8, 9, 3, 16, 10, |
| 4, 17, 11, 24, 5, 18, 25, 12, |
| 19, 26, 32, 6, 13, 20, 33, 27, |
| 7, 34, 40, 21, 28, 41, 14, 35, |
| 48, 42, 29, 36, 49, 22, 43, 15, |
| 56, 37, 50, 44, 30, 57, 23, 51, |
| 58, 45, 38, 52, 31, 59, 53, 46, |
| 60, 39, 61, 47, 54, 55, 62, 63, |
| }; |
| |
| DECLARE_ALIGNED(16, const int, vp9_default_zig_zag1d_16x16[256]) = { |
| 0, 16, 1, 32, 17, 2, 48, 33, 18, 3, 64, 34, 49, 19, 65, 80, |
| 50, 4, 35, 66, 20, 81, 96, 51, 5, 36, 82, 97, 67, 112, 21, 52, |
| 98, 37, 83, 113, 6, 68, 128, 53, 22, 99, 114, 84, 7, 129, 38, 69, |
| 100, 115, 144, 130, 85, 54, 23, 8, 145, 39, 70, 116, 101, 131, 160, 146, |
| 55, 86, 24, 71, 132, 117, 161, 40, 9, 102, 147, 176, 162, 87, 56, 25, |
| 133, 118, 177, 148, 72, 103, 41, 163, 10, 192, 178, 88, 57, 134, 149, 119, |
| 26, 164, 73, 104, 193, 42, 179, 208, 11, 135, 89, 165, 120, 150, 58, 194, |
| 180, 27, 74, 209, 105, 151, 136, 43, 90, 224, 166, 195, 181, 121, 210, 59, |
| 12, 152, 106, 167, 196, 75, 137, 225, 211, 240, 182, 122, 91, 28, 197, 13, |
| 226, 168, 183, 153, 44, 212, 138, 107, 241, 60, 29, 123, 198, 184, 227, 169, |
| 242, 76, 213, 154, 45, 92, 14, 199, 139, 61, 228, 214, 170, 185, 243, 108, |
| 77, 155, 30, 15, 200, 229, 124, 215, 244, 93, 46, 186, 171, 201, 109, 140, |
| 230, 62, 216, 245, 31, 125, 78, 156, 231, 47, 187, 202, 217, 94, 246, 141, |
| 63, 232, 172, 110, 247, 157, 79, 218, 203, 126, 233, 188, 248, 95, 173, 142, |
| 219, 111, 249, 234, 158, 127, 189, 204, 250, 235, 143, 174, 220, 205, 159, 251, |
| 190, 221, 175, 236, 237, 191, 206, 252, 222, 253, 207, 238, 223, 254, 239, 255, |
| }; |
| |
| DECLARE_ALIGNED(16, const int, vp9_col_scan_16x16[256]) = { |
| 0, 16, 32, 48, 1, 64, 17, 80, 33, 96, 49, 2, 65, 112, 18, 81, |
| 34, 128, 50, 97, 3, 66, 144, 19, 113, 35, 82, 160, 98, 51, 129, 4, |
| 67, 176, 20, 114, 145, 83, 36, 99, 130, 52, 192, 5, 161, 68, 115, 21, |
| 146, 84, 208, 177, 37, 131, 100, 53, 162, 224, 69, 6, 116, 193, 147, 85, |
| 22, 240, 132, 38, 178, 101, 163, 54, 209, 117, 70, 7, 148, 194, 86, 179, |
| 225, 23, 133, 39, 164, 8, 102, 210, 241, 55, 195, 118, 149, 71, 180, 24, |
| 87, 226, 134, 165, 211, 40, 103, 56, 72, 150, 196, 242, 119, 9, 181, 227, |
| 88, 166, 25, 135, 41, 104, 212, 57, 151, 197, 120, 73, 243, 182, 136, 167, |
| 213, 89, 10, 228, 105, 152, 198, 26, 42, 121, 183, 244, 168, 58, 137, 229, |
| 74, 214, 90, 153, 199, 184, 11, 106, 245, 27, 122, 230, 169, 43, 215, 59, |
| 200, 138, 185, 246, 75, 12, 91, 154, 216, 231, 107, 28, 44, 201, 123, 170, |
| 60, 247, 232, 76, 139, 13, 92, 217, 186, 248, 155, 108, 29, 124, 45, 202, |
| 233, 171, 61, 14, 77, 140, 15, 249, 93, 30, 187, 156, 218, 46, 109, 125, |
| 62, 172, 78, 203, 31, 141, 234, 94, 47, 188, 63, 157, 110, 250, 219, 79, |
| 126, 204, 173, 142, 95, 189, 111, 235, 158, 220, 251, 127, 174, 143, 205, 236, |
| 159, 190, 221, 252, 175, 206, 237, 191, 253, 222, 238, 207, 254, 223, 239, 255, |
| }; |
| |
| DECLARE_ALIGNED(16, const int, vp9_row_scan_16x16[256]) = { |
| 0, 1, 2, 16, 3, 17, 4, 18, 32, 5, 33, 19, 6, 34, 48, 20, |
| 49, 7, 35, 21, 50, 64, 8, 36, 65, 22, 51, 37, 80, 9, 66, 52, |
| 23, 38, 81, 67, 10, 53, 24, 82, 68, 96, 39, 11, 54, 83, 97, 69, |
| 25, 98, 84, 40, 112, 55, 12, 70, 99, 113, 85, 26, 41, 56, 114, 100, |
| 13, 71, 128, 86, 27, 115, 101, 129, 42, 57, 72, 116, 14, 87, 130, 102, |
| 144, 73, 131, 117, 28, 58, 15, 88, 43, 145, 103, 132, 146, 118, 74, 160, |
| 89, 133, 104, 29, 59, 147, 119, 44, 161, 148, 90, 105, 134, 162, 120, 176, |
| 75, 135, 149, 30, 60, 163, 177, 45, 121, 91, 106, 164, 178, 150, 192, 136, |
| 165, 179, 31, 151, 193, 76, 122, 61, 137, 194, 107, 152, 180, 208, 46, 166, |
| 167, 195, 92, 181, 138, 209, 123, 153, 224, 196, 77, 168, 210, 182, 240, 108, |
| 197, 62, 154, 225, 183, 169, 211, 47, 139, 93, 184, 226, 212, 241, 198, 170, |
| 124, 155, 199, 78, 213, 185, 109, 227, 200, 63, 228, 242, 140, 214, 171, 186, |
| 156, 229, 243, 125, 94, 201, 244, 215, 216, 230, 141, 187, 202, 79, 172, 110, |
| 157, 245, 217, 231, 95, 246, 232, 126, 203, 247, 233, 173, 218, 142, 111, 158, |
| 188, 248, 127, 234, 219, 249, 189, 204, 143, 174, 159, 250, 235, 205, 220, 175, |
| 190, 251, 221, 191, 206, 236, 207, 237, 252, 222, 253, 223, 238, 239, 254, 255, |
| }; |
| |
| DECLARE_ALIGNED(16, const int, vp9_default_zig_zag1d_32x32[1024]) = { |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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 |
| DECLARE_ALIGNED(16, const int, vp9_default_zig_zag1d_4x4[16]) = { |
| 0, 1, 4, 8, |
| 5, 2, 3, 6, |
| 9, 12, 13, 10, |
| 7, 11, 14, 15, |
| }; |
| |
| DECLARE_ALIGNED(16, const int, vp9_col_scan_4x4[16]) = { |
| 0, 4, 8, 12, |
| 1, 5, 9, 13, |
| 2, 6, 10, 14, |
| 3, 7, 11, 15 |
| }; |
| |
| DECLARE_ALIGNED(16, const int, vp9_row_scan_4x4[16]) = { |
| 0, 1, 2, 3, |
| 4, 5, 6, 7, |
| 8, 9, 10, 11, |
| 12, 13, 14, 15 |
| }; |
| |
| DECLARE_ALIGNED(64, const int, vp9_default_zig_zag1d_8x8[64]) = { |
| 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, |
| }; |
| |
| 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, |
| }; |
| |
| DECLARE_ALIGNED(16, const int, vp9_default_zig_zag1d_16x16[256]) = { |
| 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, |
| 42, 27, 12, 13, 28, 43, 58, 73, |
| 88, 103, 118, 133, 148, 163, 178, 193, |
| 208, 224, 209, 194, 179, 164, 149, 134, |
| 119, 104, 89, 74, 59, 44, 29, 14, |
| 15, 30, 45, 60, 75, 90, 105, 120, |
| 135, 150, 165, 180, 195, 210, 225, 240, |
| 241, 226, 211, 196, 181, 166, 151, 136, |
| 121, 106, 91, 76, 61, 46, 31, 47, |
| 62, 77, 92, 107, 122, 137, 152, 167, |
| 182, 197, 212, 227, 242, 243, 228, 213, |
| 198, 183, 168, 153, 138, 123, 108, 93, |
| 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, |
| }; |
| |
| 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, |
| }; |
| |
| 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, |
| }; |
| #endif // CONFIG_SCATTERSCAN |
| |
| /* Array indices are identical to previously-existing CONTEXT_NODE indices */ |
| |
| const vp9_tree_index vp9_coef_tree[ 22] = /* corresponding _CONTEXT_NODEs */ |
| { |
| -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 */ |
| }; |
| |
| struct vp9_token vp9_coef_encodings[MAX_ENTROPY_TOKENS]; |
| |
| /* Trees for extra bits. Probabilities are constant and |
| do not depend on previously encoded bits */ |
| |
| 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[] = { |
| 254, 254, 254, 252, 249, 243, 230, 196, 177, 153, 140, 133, 130, 129 |
| }; |
| |
| #if CONFIG_MODELCOEFPROB |
| const vp9_tree_index vp9_coefmodel_tree[6] = { |
| -DCT_EOB_MODEL_TOKEN, 2, /* 0 = EOB */ |
| -ZERO_TOKEN, 4, /* 1 = ZERO */ |
| -ONE_TOKEN, -TWO_TOKEN, /* 2 = ONE */ |
| }; |
| |
| const vp9_prob vp9_modelcoefprobs_gg75p1[COEFPROB_MODELS][MODEL_NODES] = { |
| // Probs generated with a Generalized Gaussian (with shape parameter 0.75) |
| // source model with varying quantizer step size for a uniform quantizer |
| { 3, 86, 129, 6, 87, 21, 90, 26,}, |
| { 9, 87, 130, 16, 89, 55, 96, 65,}, |
| { 14, 88, 130, 26, 90, 82, 101, 95,}, |
| { 20, 89, 131, 35, 92, 105, 105, 119,}, |
| { 25, 90, 132, 44, 93, 124, 110, 138,}, |
| { 30, 91, 132, 52, 95, 141, 114, 155,}, |
| { 35, 92, 133, 60, 96, 155, 118, 168,}, |
| { 40, 93, 134, 68, 97, 167, 123, 180,}, |
| { 44, 94, 134, 75, 99, 178, 127, 190,}, |
| { 49, 94, 135, 82, 100, 187, 131, 199,}, |
| { 54, 95, 135, 88, 101, 195, 135, 206,}, |
| { 58, 96, 136, 95, 102, 202, 138, 213,}, |
| { 63, 97, 137, 101, 104, 209, 142, 218,}, |
| { 67, 98, 137, 107, 105, 214, 146, 223,}, |
| { 71, 98, 138, 113, 106, 219, 150, 227,}, |
| { 76, 99, 138, 118, 107, 223, 153, 231,}, |
| { 80, 100, 139, 123, 109, 227, 157, 234,}, |
| { 84, 101, 140, 128, 110, 231, 160, 237,}, |
| { 88, 102, 140, 133, 111, 234, 164, 239,}, |
| { 92, 102, 141, 138, 112, 236, 167, 241,}, |
| { 95, 103, 141, 143, 114, 238, 170, 243,}, |
| { 99, 104, 142, 147, 115, 241, 173, 245,}, |
| { 103, 105, 142, 151, 116, 242, 176, 246,}, |
| { 107, 105, 143, 156, 117, 244, 180, 248,}, |
| { 110, 106, 144, 159, 119, 245, 182, 249,}, |
| { 114, 107, 144, 163, 120, 247, 185, 250,}, |
| { 117, 108, 145, 167, 121, 248, 188, 250,}, |
| { 121, 109, 145, 171, 123, 249, 191, 251,}, |
| { 124, 110, 146, 174, 124, 250, 194, 252,}, |
| { 127, 110, 147, 177, 125, 250, 196, 252,}, |
| { 130, 111, 147, 181, 127, 251, 199, 253,}, |
| { 134, 112, 148, 184, 128, 252, 201, 253,}, |
| { 137, 113, 148, 187, 129, 252, 204, 254,}, |
| { 140, 114, 149, 190, 130, 253, 206, 254,}, |
| { 143, 115, 150, 192, 132, 253, 208, 254,}, |
| { 146, 115, 150, 195, 133, 254, 210, 254,}, |
| { 149, 116, 151, 198, 134, 254, 212, 255,}, |
| { 152, 117, 151, 200, 136, 254, 214, 255,}, |
| { 154, 118, 152, 203, 137, 254, 216, 255,}, |
| { 157, 119, 153, 205, 139, 255, 218, 255,}, |
| { 160, 120, 153, 207, 140, 255, 220, 255,}, |
| { 163, 121, 154, 210, 141, 255, 222, 255,}, |
| { 165, 122, 154, 212, 143, 255, 223, 255,}, |
| { 168, 123, 155, 214, 144, 255, 225, 255,}, |
| { 170, 123, 156, 216, 145, 255, 227, 255,}, |
| { 173, 124, 156, 218, 147, 255, 228, 255,}, |
| { 175, 125, 157, 219, 148, 255, 230, 255,}, |
| { 178, 126, 158, 221, 150, 255, 231, 255,}, |
| { 180, 127, 158, 223, 151, 255, 232, 255,}, |
| { 182, 128, 159, 224, 152, 255, 234, 255,}, |
| { 184, 129, 160, 226, 154, 255, 235, 255,}, |
| { 187, 130, 160, 227, 155, 255, 236, 255,}, |
| { 189, 131, 161, 229, 157, 255, 237, 255,}, |
| { 191, 132, 162, 230, 158, 255, 238, 255,}, |
| { 193, 133, 163, 232, 159, 255, 239, 255,}, |
| { 195, 134, 163, 233, 161, 255, 240, 255,}, |
| { 197, 135, 164, 234, 162, 255, 241, 255,}, |
| { 199, 136, 165, 235, 164, 255, 242, 255,}, |
| { 201, 137, 165, 236, 165, 255, 243, 255,}, |
| { 203, 138, 166, 237, 167, 255, 244, 255,}, |
| { 205, 139, 167, 238, 168, 255, 244, 255,}, |
| { 206, 141, 168, 239, 170, 255, 245, 255,}, |
| { 208, 142, 168, 240, 171, 255, 246, 255,}, |
| { 210, 143, 169, 241, 173, 255, 246, 255,}, |
| { 212, 144, 170, 242, 174, 255, 247, 255,}, |
| { 213, 145, 171, 243, 176, 255, 248, 255,}, |
| { 215, 146, 171, 244, 177, 255, 248, 255,}, |
| { 216, 147, 172, 244, 179, 255, 249, 255,}, |
| { 218, 148, 173, 245, 180, 255, 249, 255,}, |
| { 220, 150, 174, 246, 181, 255, 250, 255,}, |
| { 221, 151, 175, 246, 183, 255, 250, 255,}, |
| { 222, 152, 175, 247, 184, 255, 251, 255,}, |
| { 224, 153, 176, 248, 186, 255, 251, 255,}, |
| { 225, 154, 177, 248, 187, 255, 251, 255,}, |
| { 226, 156, 178, 249, 189, 255, 252, 255,}, |
| { 228, 157, 179, 249, 190, 255, 252, 255,}, |
| { 229, 158, 180, 250, 192, 255, 252, 255,}, |
| { 230, 159, 181, 250, 193, 255, 253, 255,}, |
| { 231, 161, 181, 251, 195, 255, 253, 255,}, |
| { 233, 162, 182, 251, 196, 255, 253, 255,}, |
| { 234, 163, 183, 251, 198, 255, 253, 255,}, |
| { 235, 165, 184, 252, 199, 255, 254, 255,}, |
| { 236, 166, 185, 252, 201, 255, 254, 255,}, |
| { 237, 167, 186, 252, 202, 255, 254, 255,}, |
| { 238, 169, 187, 253, 204, 255, 254, 255,}, |
| { 239, 170, 188, 253, 205, 255, 254, 255,}, |
| { 240, 172, 189, 253, 207, 255, 255, 255,}, |
| { 241, 173, 190, 253, 208, 255, 255, 255,}, |
| { 242, 175, 191, 254, 210, 255, 255, 255,}, |
| { 242, 176, 192, 254, 211, 255, 255, 255,}, |
| { 243, 177, 193, 254, 213, 255, 255, 255,}, |
| { 244, 179, 194, 254, 214, 255, 255, 255,}, |
| { 245, 181, 195, 254, 216, 255, 255, 255,}, |
| { 245, 182, 196, 255, 217, 255, 255, 255,}, |
| { 246, 184, 197, 255, 218, 255, 255, 255,}, |
| { 247, 185, 199, 255, 220, 255, 255, 255,}, |
| { 247, 187, 200, 255, 221, 255, 255, 255,}, |
| { 248, 188, 201, 255, 223, 255, 255, 255,}, |
| { 249, 190, 202, 255, 224, 255, 255, 255,}, |
| { 249, 192, 203, 255, 225, 255, 255, 255,}, |
| { 250, 193, 205, 255, 227, 255, 255, 255,}, |
| { 250, 195, 206, 255, 228, 255, 255, 255,}, |
| { 251, 197, 207, 255, 229, 255, 255, 255,}, |
| { 251, 199, 208, 255, 231, 255, 255, 255,}, |
| { 252, 201, 210, 255, 232, 255, 255, 255,}, |
| { 252, 202, 211, 255, 233, 255, 255, 255,}, |
| { 252, 204, 212, 255, 235, 255, 255, 255,}, |
| { 253, 206, 214, 255, 236, 255, 255, 255,}, |
| { 253, 208, 215, 255, 237, 255, 255, 255,}, |
| { 254, 210, 217, 255, 238, 255, 255, 255,}, |
| { 254, 212, 218, 255, 240, 255, 255, 255,}, |
| { 254, 214, 220, 255, 241, 255, 255, 255,}, |
| { 254, 216, 221, 255, 242, 255, 255, 255,}, |
| { 255, 218, 223, 255, 243, 255, 255, 255,}, |
| { 255, 220, 225, 255, 244, 255, 255, 255,}, |
| { 255, 222, 226, 255, 245, 255, 255, 255,}, |
| { 255, 224, 228, 255, 247, 255, 255, 255,}, |
| { 255, 227, 230, 255, 248, 255, 255, 255,}, |
| { 255, 229, 232, 255, 249, 255, 255, 255,}, |
| { 255, 231, 234, 255, 250, 255, 255, 255,}, |
| { 255, 234, 236, 255, 251, 255, 255, 255,}, |
| { 255, 236, 238, 255, 252, 255, 255, 255,}, |
| { 255, 239, 240, 255, 252, 255, 255, 255,}, |
| { 255, 241, 242, 255, 253, 255, 255, 255,}, |
| { 255, 244, 245, 255, 254, 255, 255, 255,}, |
| { 255, 247, 247, 255, 255, 255, 255, 255,}, |
| { 255, 250, 250, 255, 255, 255, 255, 255,}, |
| { 255, 254, 254, 255, 255, 255, 255, 255,}, |
| }; |
| |
| const vp9_prob vp9_modelcoefprobs_gg625p1[COEFPROB_MODELS][MODEL_NODES] = { |
| // Probs generated with a Generalized Gaussian (with shape parameter 0.625) |
| // source model with varying quantizer step size for a uniform quantizer |
| { 3, 87, 129, 6, 87, 20, 91, 24,}, |
| { 8, 88, 130, 15, 90, 50, 97, 56,}, |
| { 14, 90, 131, 24, 91, 74, 102, 81,}, |
| { 19, 91, 132, 33, 93, 93, 106, 101,}, |
| { 24, 92, 133, 40, 94, 110, 110, 118,}, |
| { 29, 93, 134, 48, 96, 125, 113, 132,}, |
| { 33, 93, 134, 55, 97, 138, 117, 145,}, |
| { 38, 94, 135, 62, 98, 149, 120, 155,}, |
| { 42, 95, 136, 68, 99, 159, 124, 165,}, |
| { 47, 96, 136, 74, 100, 168, 127, 174,}, |
| { 51, 97, 137, 80, 102, 176, 130, 181,}, |
| { 55, 98, 137, 86, 103, 184, 133, 188,}, |
| { 59, 98, 138, 91, 104, 190, 136, 194,}, |
| { 64, 99, 139, 97, 105, 196, 139, 200,}, |
| { 68, 100, 139, 102, 106, 201, 142, 205,}, |
| { 71, 101, 140, 107, 107, 206, 145, 209,}, |
| { 75, 102, 140, 112, 108, 211, 148, 213,}, |
| { 79, 102, 141, 116, 109, 215, 150, 217,}, |
| { 83, 103, 141, 121, 110, 218, 153, 220,}, |
| { 87, 104, 142, 125, 112, 222, 156, 224,}, |
| { 90, 105, 143, 129, 113, 225, 159, 226,}, |
| { 94, 105, 143, 133, 114, 227, 161, 229,}, |
| { 97, 106, 144, 137, 115, 230, 164, 231,}, |
| { 101, 107, 144, 141, 116, 232, 166, 233,}, |
| { 104, 108, 145, 145, 117, 234, 169, 235,}, |
| { 107, 108, 145, 149, 118, 236, 171, 237,}, |
| { 111, 109, 146, 152, 119, 238, 174, 239,}, |
| { 114, 110, 146, 156, 120, 240, 176, 240,}, |
| { 117, 111, 147, 159, 121, 241, 178, 242,}, |
| { 120, 112, 148, 162, 122, 242, 181, 243,}, |
| { 123, 112, 148, 165, 124, 244, 183, 244,}, |
| { 126, 113, 149, 168, 125, 245, 185, 245,}, |
| { 129, 114, 149, 171, 126, 246, 187, 246,}, |
| { 132, 115, 150, 174, 127, 247, 189, 247,}, |
| { 135, 116, 150, 177, 128, 248, 192, 248,}, |
| { 138, 116, 151, 180, 129, 248, 194, 249,}, |
| { 141, 117, 152, 183, 130, 249, 196, 249,}, |
| { 143, 118, 152, 185, 131, 250, 198, 250,}, |
| { 146, 119, 153, 188, 132, 250, 200, 250,}, |
| { 149, 120, 153, 190, 134, 251, 201, 251,}, |
| { 151, 120, 154, 192, 135, 251, 203, 251,}, |
| { 154, 121, 155, 195, 136, 252, 205, 252,}, |
| { 157, 122, 155, 197, 137, 252, 207, 252,}, |
| { 159, 123, 156, 199, 138, 253, 209, 253,}, |
| { 162, 124, 156, 201, 139, 253, 210, 253,}, |
| { 164, 125, 157, 203, 140, 253, 212, 253,}, |
| { 166, 126, 158, 205, 142, 254, 214, 253,}, |
| { 169, 126, 158, 207, 143, 254, 215, 254,}, |
| { 171, 127, 159, 209, 144, 254, 217, 254,}, |
| { 173, 128, 159, 211, 145, 254, 218, 254,}, |
| { 176, 129, 160, 213, 146, 254, 220, 254,}, |
| { 178, 130, 161, 214, 148, 255, 221, 255,}, |
| { 180, 131, 161, 216, 149, 255, 223, 255,}, |
| { 182, 132, 162, 218, 150, 255, 224, 255,}, |
| { 184, 133, 163, 219, 151, 255, 225, 255,}, |
| { 186, 134, 163, 221, 152, 255, 226, 255,}, |
| { 188, 135, 164, 222, 154, 255, 228, 255,}, |
| { 190, 136, 165, 224, 155, 255, 229, 255,}, |
| { 192, 137, 165, 225, 156, 255, 230, 255,}, |
| { 194, 137, 166, 226, 157, 255, 231, 255,}, |
| { 196, 138, 167, 228, 159, 255, 232, 255,}, |
| { 198, 139, 167, 229, 160, 255, 233, 255,}, |
| { 200, 140, 168, 230, 161, 255, 234, 255,}, |
| { 202, 141, 169, 231, 163, 255, 235, 255,}, |
| { 203, 142, 169, 233, 164, 255, 236, 255,}, |
| { 205, 143, 170, 234, 165, 255, 237, 255,}, |
| { 207, 145, 171, 235, 166, 255, 238, 255,}, |
| { 209, 146, 171, 236, 168, 255, 239, 255,}, |
| { 210, 147, 172, 237, 169, 255, 240, 255,}, |
| { 212, 148, 173, 238, 170, 255, 241, 255,}, |
| { 213, 149, 174, 239, 172, 255, 242, 255,}, |
| { 215, 150, 174, 240, 173, 255, 242, 255,}, |
| { 216, 151, 175, 240, 174, 255, 243, 255,}, |
| { 218, 152, 176, 241, 176, 255, 244, 255,}, |
| { 219, 153, 177, 242, 177, 255, 244, 255,}, |
| { 221, 154, 178, 243, 178, 255, 245, 255,}, |
| { 222, 156, 178, 244, 180, 255, 246, 255,}, |
| { 223, 157, 179, 244, 181, 255, 246, 255,}, |
| { 225, 158, 180, 245, 183, 255, 247, 255,}, |
| { 226, 159, 181, 246, 184, 255, 247, 255,}, |
| { 227, 160, 182, 246, 185, 255, 248, 255,}, |
| { 229, 162, 183, 247, 187, 255, 248, 255,}, |
| { 230, 163, 183, 247, 188, 255, 249, 255,}, |
| { 231, 164, 184, 248, 190, 255, 249, 255,}, |
| { 232, 165, 185, 248, 191, 255, 250, 255,}, |
| { 233, 167, 186, 249, 192, 255, 250, 255,}, |
| { 234, 168, 187, 249, 194, 255, 251, 255,}, |
| { 235, 169, 188, 250, 195, 255, 251, 255,}, |
| { 236, 171, 189, 250, 197, 255, 251, 255,}, |
| { 237, 172, 190, 251, 198, 255, 252, 255,}, |
| { 238, 173, 191, 251, 200, 255, 252, 255,}, |
| { 239, 175, 192, 251, 201, 255, 252, 255,}, |
| { 240, 176, 193, 252, 203, 255, 253, 255,}, |
| { 241, 178, 194, 252, 204, 255, 253, 255,}, |
| { 242, 179, 195, 252, 206, 255, 253, 255,}, |
| { 243, 181, 196, 253, 207, 255, 253, 255,}, |
| { 244, 182, 197, 253, 209, 255, 254, 255,}, |
| { 244, 184, 198, 253, 210, 255, 254, 255,}, |
| { 245, 185, 199, 254, 212, 255, 254, 255,}, |
| { 246, 187, 200, 254, 213, 255, 254, 255,}, |
| { 247, 189, 201, 254, 215, 255, 254, 255,}, |
| { 247, 190, 203, 254, 216, 255, 255, 255,}, |
| { 248, 192, 204, 254, 218, 255, 255, 255,}, |
| { 249, 194, 205, 255, 219, 255, 255, 255,}, |
| { 249, 195, 206, 255, 221, 255, 255, 255,}, |
| { 250, 197, 208, 255, 222, 255, 255, 255,}, |
| { 250, 199, 209, 255, 224, 255, 255, 255,}, |
| { 251, 201, 210, 255, 225, 255, 255, 255,}, |
| { 251, 203, 212, 255, 227, 255, 255, 255,}, |
| { 252, 205, 213, 255, 228, 255, 255, 255,}, |
| { 252, 207, 215, 255, 230, 255, 255, 255,}, |
| { 253, 209, 216, 255, 231, 255, 255, 255,}, |
| { 253, 211, 218, 255, 233, 255, 255, 255,}, |
| { 253, 213, 219, 255, 234, 255, 255, 255,}, |
| { 254, 215, 221, 255, 236, 255, 255, 255,}, |
| { 254, 217, 223, 255, 238, 255, 255, 255,}, |
| { 254, 219, 224, 255, 239, 255, 255, 255,}, |
| { 255, 222, 226, 255, 241, 255, 255, 255,}, |
| { 255, 224, 228, 255, 242, 255, 255, 255,}, |
| { 255, 227, 230, 255, 244, 255, 255, 255,}, |
| { 255, 229, 232, 255, 245, 255, 255, 255,}, |
| { 255, 232, 234, 255, 247, 255, 255, 255,}, |
| { 255, 235, 237, 255, 248, 255, 255, 255,}, |
| { 255, 238, 239, 255, 250, 255, 255, 255,}, |
| { 255, 241, 242, 255, 251, 255, 255, 255,}, |
| { 255, 244, 245, 255, 253, 255, 255, 255,}, |
| { 255, 248, 248, 255, 254, 255, 255, 255,}, |
| { 255, 253, 253, 255, 255, 255, 255, 255,}, |
| }; |
| |
| void vp9_get_model_distribution(vp9_prob p, vp9_prob *tree_probs, |
| int b, int r) { |
| const vp9_prob (*model)[MODEL_NODES]; |
| 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 |
| model = vp9_modelcoefprobs_gg625p1; |
| if (p & 1) { // odd |
| vpx_memcpy(tree_probs + UNCONSTRAINED_NODES, |
| model[(p - 1) / 2], |
| (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 - UNCONSTRAINED_NODES] + |
| model[p / 2][i - UNCONSTRAINED_NODES]) >> 1; |
| } |
| } |
| |
| void vp9_model_to_full_probs(const vp9_prob *model, int b, int r, vp9_prob *full) { |
| vpx_memcpy(full, model, sizeof(vp9_prob) * UNCONSTRAINED_NODES); |
| vp9_get_model_distribution(model[PIVOT_NODE], full, b, r); |
| } |
| |
| void vp9_model_to_full_probs_sb( |
| vp9_prob model[COEF_BANDS][PREV_COEF_CONTEXTS][UNCONSTRAINED_NODES], |
| int b, int r, |
| vp9_prob full[COEF_BANDS][PREV_COEF_CONTEXTS][ENTROPY_NODES]) { |
| int c, p; |
| for (c = 0; c < COEF_BANDS; ++c) |
| for (p = 0; p < PREV_COEF_CONTEXTS; ++p) { |
| vp9_model_to_full_probs(model[c][p], b, r, full[c][p]); |
| } |
| } |
| #endif |
| |
| static vp9_tree_index cat1[2], cat2[4], cat3[6], cat4[8], cat5[10], cat6[28]; |
| |
| static void init_bit_tree(vp9_tree_index *p, int n) { |
| int i = 0; |
| |
| while (++i < n) { |
| p[0] = p[1] = i << 1; |
| p += 2; |
| } |
| |
| p[0] = p[1] = 0; |
| } |
| |
| 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); |
| init_bit_tree(cat6, 14); |
| } |
| |
| vp9_extra_bit vp9_extra_bits[12] = { |
| { 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}, |
| { cat6, Pcat6, 14, 67}, |
| { 0, 0, 0, 0} |
| }; |
| |
| #include "vp9/common/vp9_default_coef_probs.h" |
| |
| // 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. |
| #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); |
| if (c == eob) { |
| return 0; |
| } else { |
| int ctx; |
| assert(neighbors[MAX_NEIGHBORS * c + 0] >= 0); |
| if (neighbors[MAX_NEIGHBORS * c + 1] >= 0) { |
| ctx = (1 + token_cache[scan[neighbors[MAX_NEIGHBORS * c + 0]]] + |
| token_cache[scan[neighbors[MAX_NEIGHBORS * c + 1]]]) >> 1; |
| } else { |
| ctx = token_cache[scan[neighbors[MAX_NEIGHBORS * c + 0]]]; |
| } |
| return vp9_pt_energy_class[ctx]; |
| } |
| }; |
| |
| void vp9_default_coef_probs(VP9_COMMON *pc) { |
| 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)); |
| } |
| |
| // 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]); |
| DECLARE_ALIGNED(16, int, |
| vp9_col_scan_8x8_neighbors[64 * MAX_NEIGHBORS]); |
| DECLARE_ALIGNED(16, int, |
| vp9_row_scan_8x8_neighbors[64 * MAX_NEIGHBORS]); |
| DECLARE_ALIGNED(16, int, |
| vp9_default_zig_zag1d_8x8_neighbors[64 * MAX_NEIGHBORS]); |
| DECLARE_ALIGNED(16, int, |
| vp9_col_scan_16x16_neighbors[256 * MAX_NEIGHBORS]); |
| DECLARE_ALIGNED(16, int, |
| vp9_row_scan_16x16_neighbors[256 * MAX_NEIGHBORS]); |
| 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); |
| 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; |
| 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); |
| 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); |
| init_scan_neighbors(vp9_default_zig_zag1d_16x16, 16, |
| vp9_default_zig_zag1d_16x16_neighbors, MAX_NEIGHBORS); |
| 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); |
| 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; |
| } 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; |
| } else if (scan == vp9_default_zig_zag1d_16x16) { |
| *pad = MAX_NEIGHBORS; |
| return vp9_default_zig_zag1d_16x16_neighbors; |
| } 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; |
| } else if (scan == vp9_default_zig_zag1d_32x32) { |
| *pad = MAX_NEIGHBORS; |
| return vp9_default_zig_zag1d_32x32_neighbors; |
| } else { |
| assert(0); |
| return NULL; |
| } |
| } |
| |
| void vp9_coef_tree_initialize() { |
| vp9_init_neighbors(); |
| init_bit_trees(); |
| vp9_tokens_from_tree(vp9_coef_encodings, vp9_coef_tree); |
| } |
| |
| // #define COEF_COUNT_TESTING |
| |
| #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 |
| |
| #if CONFIG_MODELCOEFPROB |
| void vp9_full_to_model_counts( |
| vp9_coeff_count_model *model_count, vp9_coeff_count *full_count) { |
| int i, j, k, l; |
| for (i = 0; i < BLOCK_TYPES; ++i) |
| for (j = 0; j < REF_TYPES; ++j) |
| for (k = 0; k < COEF_BANDS; ++k) |
| for (l = 0; l < PREV_COEF_CONTEXTS; ++l) { |
| int n; |
| if (l >= 3 && k == 0) |
| continue; |
| model_count[i][j][k][l][ZERO_TOKEN] = |
| full_count[i][j][k][l][ZERO_TOKEN]; |
| model_count[i][j][k][l][ONE_TOKEN] = |
| full_count[i][j][k][l][ONE_TOKEN]; |
| model_count[i][j][k][l][TWO_TOKEN] = |
| full_count[i][j][k][l][TWO_TOKEN]; |
| for (n = THREE_TOKEN; n < DCT_EOB_TOKEN; ++n) |
| model_count[i][j][k][l][TWO_TOKEN] += full_count[i][j][k][l][n]; |
| model_count[i][j][k][l][DCT_EOB_MODEL_TOKEN] = |
| full_count[i][j][k][l][DCT_EOB_TOKEN]; |
| } |
| } |
| #endif |
| |
| static void adapt_coef_probs( |
| #if CONFIG_MODELCOEFPROB |
| vp9_coeff_probs_model *dst_coef_probs, |
| vp9_coeff_probs_model *pre_coef_probs, |
| vp9_coeff_count_model *coef_counts, |
| #else |
| vp9_coeff_probs *dst_coef_probs, |
| vp9_coeff_probs *pre_coef_probs, |
| vp9_coeff_count *coef_counts, |
| #endif |
| unsigned int (*eob_branch_count)[REF_TYPES][COEF_BANDS][PREV_COEF_CONTEXTS], |
| int count_sat, |
| int update_factor) { |
| int t, i, j, k, l, count; |
| int factor; |
| #if CONFIG_MODELCOEFPROB |
| unsigned int branch_ct[UNCONSTRAINED_NODES][2]; |
| vp9_prob coef_probs[UNCONSTRAINED_NODES]; |
| int entropy_nodes_adapt = UNCONSTRAINED_NODES; |
| #else |
| unsigned int branch_ct[ENTROPY_NODES][2]; |
| vp9_prob coef_probs[ENTROPY_NODES]; |
| int entropy_nodes_adapt = ENTROPY_NODES; |
| #endif |
| |
| for (i = 0; i < BLOCK_TYPES; ++i) |
| 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; |
| vp9_tree_probs_from_distribution( |
| #if CONFIG_MODELCOEFPROB |
| vp9_coefmodel_tree, |
| #else |
| vp9_coef_tree, |
| #endif |
| coef_probs, branch_ct, |
| coef_counts[i][j][k][l], 0); |
| 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]); |
| for (t = 0; t < entropy_nodes_adapt; ++t) { |
| 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); |
| } |
| } |
| } |
| |
| void vp9_adapt_coef_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_coef_probs(cm->fc.coef_probs_4x4, cm->fc.pre_coef_probs_4x4, |
| cm->fc.coef_counts_4x4, |
| cm->fc.eob_branch_counts[TX_4X4], |
| count_sat, update_factor); |
| adapt_coef_probs(cm->fc.coef_probs_8x8, cm->fc.pre_coef_probs_8x8, |
| cm->fc.coef_counts_8x8, |
| cm->fc.eob_branch_counts[TX_8X8], |
| count_sat, update_factor); |
| adapt_coef_probs(cm->fc.coef_probs_16x16, cm->fc.pre_coef_probs_16x16, |
| cm->fc.coef_counts_16x16, |
| cm->fc.eob_branch_counts[TX_16X16], |
| count_sat, update_factor); |
| adapt_coef_probs(cm->fc.coef_probs_32x32, cm->fc.pre_coef_probs_32x32, |
| cm->fc.coef_counts_32x32, |
| cm->fc.eob_branch_counts[TX_32X32], |
| count_sat, update_factor); |
| } |
