ref: 07443f1589805074b58b04bb551cba3bdb9d169e
parent: 39a90bc8e879738c336304960dfcee6a17fee057
author: Deb Mukherjee <debargha@google.com>
date: Mon May 20 09:54:39 EDT 2013
Refinements on modelcoef expt to reduce storage Uses more aggrerssive interpolation to reduce storage for the model tables by almost more than half. Only 48 lists of probs are stored (as opposed to 128 before), corresponding to ONE_NODE probabilities of: 1, 3, 7, 11, ..., 115, 119, 127, 135, ..., 247, 255. Besides, only 1 table is used as opposed to 2 before. So the overall memory needed for the tables is just 48 * 8 = 384 bytes. The table currently used is based on a new Pareto distribution with heavier tail than a generalized Gaussian - which improves results on derf by about 0.1% over a single table Generaized Gaussian. Results overall on derfraw300 is -0.14%. Change-Id: I19bd03559cbf5894a9f8594b8023dcc3e546f6bd
--- a/vp9/common/vp9_entropy.c
+++ b/vp9/common/vp9_entropy.c
@@ -380,17 +380,17 @@
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 @@
-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,},+// 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}};
-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+ 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));
+ }
}
}
--- a/vp9/common/vp9_entropy.h
+++ b/vp9/common/vp9_entropy.h
@@ -157,7 +157,14 @@
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)