Merge "Refinements on modelcoef expt to reduce storage" into experimental

This commit is contained in:
Deb Mukherjee 2013-05-21 13:41:54 -07:00 committed by Gerrit Code Review
commit 90a7723f8c
2 changed files with 104 additions and 287 deletions

View File

@ -380,17 +380,17 @@ DECLARE_ALIGNED(16, const int, vp9_default_zig_zag1d_32x32[1024]) = {
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 */
-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 */
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 */
-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];
@ -414,293 +414,103 @@ const vp9_tree_index vp9_coefmodel_tree[6] = {
-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,},
// 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.
const vp9_prob vp9_modelcoefprobs_pareto8[COEFPROB_MODELS][MODEL_NODES] = {
{ 3, 86, 128, 6, 86, 23, 88, 29},
{ 9, 86, 129, 17, 88, 61, 94, 76},
{ 20, 88, 130, 38, 91, 118, 106, 136},
{ 31, 90, 131, 58, 94, 156, 117, 171},
{ 42, 91, 132, 75, 97, 183, 127, 194},
{ 52, 93, 133, 90, 100, 201, 137, 208},
{ 62, 94, 135, 105, 103, 214, 146, 218},
{ 71, 96, 136, 117, 106, 224, 155, 225},
{ 80, 98, 137, 129, 109, 231, 162, 231},
{ 89, 99, 138, 140, 112, 236, 170, 235},
{ 97, 101, 140, 149, 115, 240, 176, 238},
{ 105, 103, 141, 158, 118, 243, 182, 240},
{ 113, 104, 142, 166, 120, 245, 187, 242},
{ 120, 106, 143, 173, 123, 247, 192, 244},
{ 127, 108, 145, 180, 126, 249, 197, 245},
{ 134, 110, 146, 186, 129, 250, 201, 246},
{ 140, 112, 147, 192, 132, 251, 205, 247},
{ 146, 114, 149, 197, 135, 252, 208, 248},
{ 152, 115, 150, 201, 138, 252, 211, 248},
{ 158, 117, 151, 206, 140, 253, 214, 249},
{ 163, 119, 153, 210, 143, 253, 217, 249},
{ 168, 121, 154, 213, 146, 254, 220, 250},
{ 173, 123, 155, 217, 148, 254, 222, 250},
{ 178, 125, 157, 220, 151, 254, 224, 251},
{ 183, 127, 158, 222, 153, 254, 226, 251},
{ 187, 129, 160, 225, 156, 255, 228, 251},
{ 191, 132, 161, 227, 159, 255, 229, 251},
{ 195, 134, 163, 230, 161, 255, 231, 252},
{ 199, 136, 164, 232, 163, 255, 232, 252},
{ 202, 138, 166, 233, 166, 255, 233, 252},
{ 206, 140, 167, 235, 168, 255, 235, 252},
{ 212, 145, 170, 238, 173, 255, 237, 252},
{ 218, 149, 173, 241, 177, 255, 239, 253},
{ 223, 154, 177, 243, 182, 255, 240, 253},
{ 228, 159, 180, 245, 186, 255, 242, 253},
{ 232, 164, 184, 247, 190, 255, 243, 253},
{ 236, 169, 187, 248, 194, 255, 244, 253},
{ 239, 174, 191, 249, 198, 255, 245, 254},
{ 242, 179, 195, 250, 202, 255, 246, 254},
{ 244, 185, 199, 251, 206, 255, 247, 254},
{ 247, 191, 203, 252, 209, 255, 248, 254},
{ 249, 197, 207, 253, 213, 255, 249, 254},
{ 250, 203, 212, 253, 216, 255, 249, 254},
{ 252, 209, 217, 254, 220, 255, 250, 254},
{ 253, 216, 222, 254, 224, 255, 251, 254},
{ 254, 224, 228, 255, 227, 255, 251, 254},
{ 255, 232, 235, 255, 232, 255, 252, 254},
{ 255, 246, 247, 255, 239, 255, 253, 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
model = vp9_modelcoefprobs_pareto8;
if (p == 1) {
vpx_memcpy(tree_probs + UNCONSTRAINED_NODES,
model[(p - 1) / 2],
(ENTROPY_NODES - UNCONSTRAINED_NODES) * sizeof(vp9_prob));
} else {
model[2], MODEL_NODES * sizeof(vp9_prob));
} else if (p == 2) {
// 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;
tree_probs[i] = (model[0][i - UNCONSTRAINED_NODES] +
model[1][i - UNCONSTRAINED_NODES]) >> 1;
} else if (p < 119) {
// interpolate
int i, k, l;
k = (p - 3) & 3;
l = ((p - 3) >> 2) + 1;
if (k) {
for (i = UNCONSTRAINED_NODES; i < ENTROPY_NODES; ++i)
tree_probs[i] = (model[l][i - UNCONSTRAINED_NODES] * (4 - k) +
model[l + 1][i - UNCONSTRAINED_NODES] * k + 1) >> 2;
} else {
vpx_memcpy(tree_probs + UNCONSTRAINED_NODES,
model[l], MODEL_NODES * sizeof(vp9_prob));
}
} else {
// interpolate
int i, k, l;
k = (p - 119) & 7;
l = ((p - 119) >> 3) + 30;
if (k) {
for (i = UNCONSTRAINED_NODES; i < ENTROPY_NODES; ++i)
tree_probs[i] = (model[l][i - UNCONSTRAINED_NODES] * (8 - k) +
model[l + 1][i - UNCONSTRAINED_NODES] * k + 3) >> 3;
} else {
vpx_memcpy(tree_probs + UNCONSTRAINED_NODES,
model[l], MODEL_NODES * sizeof(vp9_prob));
}
}
}

View File

@ -157,7 +157,14 @@ extern int vp9_get_coef_context(const int *scan, const int *neighbors,
const int *vp9_get_coef_neighbors_handle(const int *scan, int *pad);
#if CONFIG_MODELCOEFPROB
#define COEFPROB_MODELS 128 // 128 lists stored for probs 1, 3, ..., 255
// 48 lists of probabilities are stored for the following ONE node probs:
// 1, (count 1)
// 3, 7, 11, 15, ..., 115, 119, (count 30)
// 127, 135, 143, ..., 247, 255 (count 17)
// In between probabilities are interpolated linearly
#define COEFPROB_MODELS 48
#define UNCONSTRAINED_NODES 3
#define MODEL_NODES (ENTROPY_NODES - UNCONSTRAINED_NODES)