/* * 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" #define MODEL_NODES (ENTROPY_NODES - UNCONSTRAINED_NODES) 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 }; DECLARE_ALIGNED(16, const uint8_t, vp9_coefband_trans_8x8plus[1024]) = { 0, 1, 1, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, // beyond MAXBAND_INDEX+1 all values are filled as 5 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 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_4x4[16]) = { 0, 1, 1, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 5, 5, 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 }; /* Array indices are identical to previously-existing CONTEXT_NODE indices */ const vp9_tree_index vp9_coef_tree[TREE_SIZE(MAX_ENTROPY_TOKENS)] = { -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 }; const vp9_tree_index vp9_coefmodel_tree[6] = { -DCT_EOB_MODEL_TOKEN, 2, /* 0 = EOB */ -ZERO_TOKEN, 4, /* 1 = ZERO */ -ONE_TOKEN, -TWO_TOKEN, }; // Model obtained from a 2-sided zero-centerd distribuition derived // from a Pareto distribution. The cdf of the distribution is: // cdf(x) = 0.5 + 0.5 * sgn(x) * [1 - {alpha/(alpha + |x|)} ^ beta] // // For a given beta and a given probablity of the 1-node, the alpha // is first solved, and then the {alpha, beta} pair is used to generate // the probabilities for the rest of the nodes. // beta = 8 static const vp9_prob modelcoefprobs_pareto8[COEFPROB_MODELS][MODEL_NODES] = { { 3, 86, 128, 6, 86, 23, 88, 29}, { 9, 86, 129, 17, 88, 61, 94, 76}, { 15, 87, 129, 28, 89, 93, 100, 110}, { 20, 88, 130, 38, 91, 118, 106, 136}, { 26, 89, 131, 48, 92, 139, 111, 156}, { 31, 90, 131, 58, 94, 156, 117, 171}, { 37, 90, 132, 66, 95, 171, 122, 184}, { 42, 91, 132, 75, 97, 183, 127, 194}, { 47, 92, 133, 83, 98, 193, 132, 202}, { 52, 93, 133, 90, 100, 201, 137, 208}, { 57, 94, 134, 98, 101, 208, 142, 214}, { 62, 94, 135, 105, 103, 214, 146, 218}, { 66, 95, 135, 111, 104, 219, 151, 222}, { 71, 96, 136, 117, 106, 224, 155, 225}, { 76, 97, 136, 123, 107, 227, 159, 228}, { 80, 98, 137, 129, 109, 231, 162, 231}, { 84, 98, 138, 134, 110, 234, 166, 233}, { 89, 99, 138, 140, 112, 236, 170, 235}, { 93, 100, 139, 145, 113, 238, 173, 236}, { 97, 101, 140, 149, 115, 240, 176, 238}, {101, 102, 140, 154, 116, 242, 179, 239}, {105, 103, 141, 158, 118, 243, 182, 240}, {109, 104, 141, 162, 119, 244, 185, 241}, {113, 104, 142, 166, 120, 245, 187, 242}, {116, 105, 143, 170, 122, 246, 190, 243}, {120, 106, 143, 173, 123, 247, 192, 244}, {123, 107, 144, 177, 125, 248, 195, 244}, {127, 108, 145, 180, 126, 249, 197, 245}, {130, 109, 145, 183, 128, 249, 199, 245}, {134, 110, 146, 186, 129, 250, 201, 246}, {137, 111, 147, 189, 131, 251, 203, 246}, {140, 112, 147, 192, 132, 251, 205, 247}, {143, 113, 148, 194, 133, 251, 207, 247}, {146, 114, 149, 197, 135, 252, 208, 248}, {149, 115, 149, 199, 136, 252, 210, 248}, {152, 115, 150, 201, 138, 252, 211, 248}, {155, 116, 151, 204, 139, 253, 213, 249}, {158, 117, 151, 206, 140, 253, 214, 249}, {161, 118, 152, 208, 142, 253, 216, 249}, {163, 119, 153, 210, 143, 253, 217, 249}, {166, 120, 153, 212, 144, 254, 218, 250}, {168, 121, 154, 213, 146, 254, 220, 250}, {171, 122, 155, 215, 147, 254, 221, 250}, {173, 123, 155, 217, 148, 254, 222, 250}, {176, 124, 156, 218, 150, 254, 223, 250}, {178, 125, 157, 220, 151, 254, 224, 251}, {180, 126, 157, 221, 152, 254, 225, 251}, {183, 127, 158, 222, 153, 254, 226, 251}, {185, 128, 159, 224, 155, 255, 227, 251}, {187, 129, 160, 225, 156, 255, 228, 251}, {189, 131, 160, 226, 157, 255, 228, 251}, {191, 132, 161, 227, 159, 255, 229, 251}, {193, 133, 162, 228, 160, 255, 230, 252}, {195, 134, 163, 230, 161, 255, 231, 252}, {197, 135, 163, 231, 162, 255, 231, 252}, {199, 136, 164, 232, 163, 255, 232, 252}, {201, 137, 165, 233, 165, 255, 233, 252}, {202, 138, 166, 233, 166, 255, 233, 252}, {204, 139, 166, 234, 167, 255, 234, 252}, {206, 140, 167, 235, 168, 255, 235, 252}, {207, 141, 168, 236, 169, 255, 235, 252}, {209, 142, 169, 237, 171, 255, 236, 252}, {210, 144, 169, 237, 172, 255, 236, 252}, {212, 145, 170, 238, 173, 255, 237, 252}, {214, 146, 171, 239, 174, 255, 237, 253}, {215, 147, 172, 240, 175, 255, 238, 253}, {216, 148, 173, 240, 176, 255, 238, 253}, {218, 149, 173, 241, 177, 255, 239, 253}, {219, 150, 174, 241, 179, 255, 239, 253}, {220, 152, 175, 242, 180, 255, 240, 253}, {222, 153, 176, 242, 181, 255, 240, 253}, {223, 154, 177, 243, 182, 255, 240, 253}, {224, 155, 178, 244, 183, 255, 241, 253}, {225, 156, 178, 244, 184, 255, 241, 253}, {226, 158, 179, 244, 185, 255, 242, 253}, {228, 159, 180, 245, 186, 255, 242, 253}, {229, 160, 181, 245, 187, 255, 242, 253}, {230, 161, 182, 246, 188, 255, 243, 253}, {231, 163, 183, 246, 189, 255, 243, 253}, {232, 164, 184, 247, 190, 255, 243, 253}, {233, 165, 185, 247, 191, 255, 244, 253}, {234, 166, 185, 247, 192, 255, 244, 253}, {235, 168, 186, 248, 193, 255, 244, 253}, {236, 169, 187, 248, 194, 255, 244, 253}, {236, 170, 188, 248, 195, 255, 245, 253}, {237, 171, 189, 249, 196, 255, 245, 254}, {238, 173, 190, 249, 197, 255, 245, 254}, {239, 174, 191, 249, 198, 255, 245, 254}, {240, 175, 192, 249, 199, 255, 246, 254}, {240, 177, 193, 250, 200, 255, 246, 254}, {241, 178, 194, 250, 201, 255, 246, 254}, {242, 179, 195, 250, 202, 255, 246, 254}, {242, 181, 196, 250, 203, 255, 247, 254}, {243, 182, 197, 251, 204, 255, 247, 254}, {244, 184, 198, 251, 205, 255, 247, 254}, {244, 185, 199, 251, 206, 255, 247, 254}, {245, 186, 200, 251, 207, 255, 247, 254}, {246, 188, 201, 252, 207, 255, 248, 254}, {246, 189, 202, 252, 208, 255, 248, 254}, {247, 191, 203, 252, 209, 255, 248, 254}, {247, 192, 204, 252, 210, 255, 248, 254}, {248, 194, 205, 252, 211, 255, 248, 254}, {248, 195, 206, 252, 212, 255, 249, 254}, {249, 197, 207, 253, 213, 255, 249, 254}, {249, 198, 208, 253, 214, 255, 249, 254}, {250, 200, 210, 253, 215, 255, 249, 254}, {250, 201, 211, 253, 215, 255, 249, 254}, {250, 203, 212, 253, 216, 255, 249, 254}, {251, 204, 213, 253, 217, 255, 250, 254}, {251, 206, 214, 254, 218, 255, 250, 254}, {252, 207, 216, 254, 219, 255, 250, 254}, {252, 209, 217, 254, 220, 255, 250, 254}, {252, 211, 218, 254, 221, 255, 250, 254}, {253, 213, 219, 254, 222, 255, 250, 254}, {253, 214, 221, 254, 223, 255, 250, 254}, {253, 216, 222, 254, 224, 255, 251, 254}, {253, 218, 224, 254, 225, 255, 251, 254}, {254, 220, 225, 254, 225, 255, 251, 254}, {254, 222, 227, 255, 226, 255, 251, 254}, {254, 224, 228, 255, 227, 255, 251, 254}, {254, 226, 230, 255, 228, 255, 251, 254}, {255, 228, 231, 255, 230, 255, 251, 254}, {255, 230, 233, 255, 231, 255, 252, 254}, {255, 232, 235, 255, 232, 255, 252, 254}, {255, 235, 237, 255, 233, 255, 252, 254}, {255, 238, 240, 255, 235, 255, 252, 255}, {255, 241, 243, 255, 236, 255, 252, 254}, {255, 246, 247, 255, 239, 255, 253, 255} }; static void extend_model_to_full_distribution(vp9_prob p, vp9_prob *tree_probs) { const int l = (p - 1) / 2; const vp9_prob (*model)[MODEL_NODES] = modelcoefprobs_pareto8; if (p & 1) { vpx_memcpy(tree_probs + UNCONSTRAINED_NODES, model[l], MODEL_NODES * sizeof(vp9_prob)); } else { // interpolate int i; for (i = UNCONSTRAINED_NODES; i < ENTROPY_NODES; ++i) tree_probs[i] = (model[l][i - UNCONSTRAINED_NODES] + model[l + 1][i - UNCONSTRAINED_NODES]) >> 1; } } void vp9_model_to_full_probs(const vp9_prob *model, vp9_prob *full) { if (full != model) vpx_memcpy(full, model, sizeof(vp9_prob) * UNCONSTRAINED_NODES); extend_model_to_full_distribution(model[PIVOT_NODE], full); } 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); } const vp9_extra_bit vp9_extra_bits[MAX_ENTROPY_TOKENS] = { { 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" void vp9_default_coef_probs(VP9_COMMON *cm) { vp9_copy(cm->fc.coef_probs[TX_4X4], default_coef_probs_4x4); vp9_copy(cm->fc.coef_probs[TX_8X8], default_coef_probs_8x8); vp9_copy(cm->fc.coef_probs[TX_16X16], default_coef_probs_16x16); vp9_copy(cm->fc.coef_probs[TX_32X32], default_coef_probs_32x32); } void vp9_coef_tree_initialize() { 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 static void adapt_coef_probs(VP9_COMMON *cm, TX_SIZE tx_size, unsigned int count_sat, unsigned int update_factor) { const FRAME_CONTEXT *pre_fc = &cm->frame_contexts[cm->frame_context_idx]; vp9_coeff_probs_model *dst_coef_probs = cm->fc.coef_probs[tx_size]; const vp9_coeff_probs_model *pre_coef_probs = pre_fc->coef_probs[tx_size]; vp9_coeff_count_model *coef_counts = cm->counts.coef[tx_size]; unsigned int (*eob_branch_count)[REF_TYPES][COEF_BANDS][PREV_COEF_CONTEXTS] = cm->counts.eob_branch[tx_size]; int i, j, k, l, m; unsigned int branch_ct[UNCONSTRAINED_NODES][2]; 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(vp9_coefmodel_tree, branch_ct, coef_counts[i][j][k][l]); branch_ct[0][1] = eob_branch_count[i][j][k][l] - branch_ct[0][0]; for (m = 0; m < UNCONSTRAINED_NODES; ++m) dst_coef_probs[i][j][k][l][m] = merge_probs( pre_coef_probs[i][j][k][l][m], branch_ct[m], count_sat, update_factor); } } void vp9_adapt_coef_probs(VP9_COMMON *cm) { TX_SIZE t; unsigned int count_sat, update_factor; if (frame_is_intra_only(cm)) { 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; } for (t = TX_4X4; t <= TX_32X32; t++) adapt_coef_probs(cm, t, count_sat, update_factor); }