Modifies the comp inter-intra expt

Uses a single 1D table to implement the weighting of the predictors
for the compound inter-intra experiment.

Change-Id: I204ffbe4f9fc79d5d43b6c724ad253d800461012

diff --git a/vp9/common/vp9_reconintra.c b/vp9/common/vp9_reconintra.c
index 9b2fad5b1e223eff2a87d06dd6d5b49613c692b5..2828d0373f35469ff71be0aa18e0f1eba4432884 100644 (file)
--- a/vp9/common/vp9_reconintra.c
+++ b/vp9/common/vp9_reconintra.c
@@ -383,155 +383,27 @@ static void combine_interintra(MB_PREDICTION_MODE mode,
   static const int scale_max = 256;     // 1 << scale_bits;
   static const int scale_round = 127;   // (1 << (scale_bits - 1));
   // This table is a function A + B*exp(-kx), where x is hor. index
-  static const int weights1d[32] = {
-    128, 122, 116, 111, 107, 103,  99,  96,
-    93, 90, 88, 85, 83, 81, 80, 78,
-    77, 76, 75, 74, 73, 72, 71, 70,
-    70, 69, 69, 68, 68, 68, 67, 67,
+  static const int weights1d[64] = {
+    128, 125, 122, 119, 116, 114, 111, 109,
+    107, 105, 103, 101,  99,  97,  96,  94,
+     93,  91,  90,  89,  88,  86,  85,  84,
+     83,  82,  81,  81,  80,  79,  78,  78,
+     77,  76,  76,  75,  75,  74,  74,  73,
+     73,  72,  72,  71,  71,  71,  70,  70,
+     70,  70,  69,  69,  69,  69,  68,  68,
+     68,  68,  68,  67,  67,  67,  67,  67,
   };
-  // This table is a function A + B*exp(-k.sqrt(xy)), where x, y are
-  // hor. and vert. indices
-  static const int weights2d[1024] = {
-    128, 128, 128, 128, 128, 128, 128, 128,
-    128, 128, 128, 128, 128, 128, 128, 128,
-    128, 128, 128, 128, 128, 128, 128, 128,
-    128, 128, 128, 128, 128, 128, 128, 128,
-    128, 122, 120, 118, 116, 115, 114, 113,
-    112, 111, 111, 110, 109, 109, 108, 107,
-    107, 106, 106, 105, 105, 104, 104, 104,
-    103, 103, 102, 102, 102, 101, 101, 101,
-    128, 120, 116, 114, 112, 111, 109, 108,
-    107, 106, 105, 104, 103, 102, 102, 101,
-    100, 100,  99,  99,  98,  97,  97,  96,
-    96,  96,  95,  95,  94,  94,  93,  93,
-    128, 118, 114, 111, 109, 107, 106, 104,
-    103, 102, 101, 100,  99,  98,  97,  97,
-    96,  95,  95,  94,  93,  93,  92,  92,
-    91,  91,  90,  90,  90,  89,  89,  88,
-    128, 116, 112, 109, 107, 105, 103, 102,
-    100,  99,  98,  97,  96,  95,  94,  93,
-    93,  92,  91,  91,  90,  90,  89,  89,
-    88,  88,  87,  87,  86,  86,  85,  85,
-    128, 115, 111, 107, 105, 103, 101,  99,
-    98,  97,  96,  94,  93,  93,  92,  91,
-    90,  89,  89,  88,  88,  87,  86,  86,
-    85,  85,  84,  84,  84,  83,  83,  82,
-    128, 114, 109, 106, 103, 101,  99,  97,
-    96,  95,  93,  92,  91,  90,  90,  89,
-    88,  87,  87,  86,  85,  85,  84,  84,
-    83,  83,  82,  82,  82,  81,  81,  80,
-    128, 113, 108, 104, 102,  99,  97,  96,
-    94,  93,  92,  91,  90,  89,  88,  87,
-    86,  85,  85,  84,  84,  83,  83,  82,
-    82,  81,  81,  80,  80,  79,  79,  79,
-    128, 112, 107, 103, 100,  98,  96,  94,
-    93,  91,  90,  89,  88,  87,  86,  85,
-    85,  84,  83,  83,  82,  82,  81,  80,
-    80,  80,  79,  79,  78,  78,  78,  77,
-    128, 111, 106, 102,  99,  97,  95,  93,
-    91,  90,  89,  88,  87,  86,  85,  84,
-    83,  83,  82,  81,  81,  80,  80,  79,
-    79,  78,  78,  77,  77,  77,  76,  76,
-    128, 111, 105, 101,  98,  96,  93,  92,
-    90,  89,  88,  86,  85,  84,  84,  83,
-    82,  81,  81,  80,  80,  79,  79,  78,
-    78,  77,  77,  76,  76,  76,  75,  75,
-    128, 110, 104, 100,  97,  94,  92,  91,
-    89,  88,  86,  85,  84,  83,  83,  82,
-    81,  80,  80,  79,  79,  78,  78,  77,
-    77,  76,  76,  75,  75,  75,  74,  74,
-    128, 109, 103,  99,  96,  93,  91,  90,
-    88,  87,  85,  84,  83,  82,  82,  81,
-    80,  79,  79,  78,  78,  77,  77,  76,
-    76,  75,  75,  75,  74,  74,  74,  73,
-    128, 109, 102,  98,  95,  93,  90,  89,
-    87,  86,  84,  83,  82,  81,  81,  80,
-    79,  78,  78,  77,  77,  76,  76,  75,
-    75,  75,  74,  74,  73,  73,  73,  73,
-    128, 108, 102,  97,  94,  92,  90,  88,
-    86,  85,  84,  83,  82,  81,  80,  79,
-    78,  78,  77,  77,  76,  76,  75,  75,
-    74,  74,  73,  73,  73,  73,  72,  72,
-    128, 107, 101,  97,  93,  91,  89,  87,
-    85,  84,  83,  82,  81,  80,  79,  78,
-    78,  77,  76,  76,  75,  75,  74,  74,
-    74,  73,  73,  73,  72,  72,  72,  71,
-    128, 107, 100,  96,  93,  90,  88,  86,
-    85,  83,  82,  81,  80,  79,  78,  78,
-    77,  76,  76,  75,  75,  74,  74,  73,
-    73,  73,  72,  72,  72,  71,  71,  71,
-    128, 106, 100,  95,  92,  89,  87,  85,
-    84,  83,  81,  80,  79,  78,  78,  77,
-    76,  76,  75,  75,  74,  74,  73,  73,
-    72,  72,  72,  72,  71,  71,  71,  70,
-    128, 106,  99,  95,  91,  89,  87,  85,
-    83,  82,  81,  80,  79,  78,  77,  76,
-    76,  75,  75,  74,  74,  73,  73,  72,
-    72,  72,  71,  71,  71,  71,  70,  70,
-    128, 105,  99,  94,  91,  88,  86,  84,
-    83,  81,  80,  79,  78,  77,  77,  76,
-    75,  75,  74,  74,  73,  73,  72,  72,
-    72,  71,  71,  71,  70,  70,  70,  70,
-    128, 105,  98,  93,  90,  88,  85,  84,
-    82,  81,  80,  79,  78,  77,  76,  75,
-    75,  74,  74,  73,  73,  72,  72,  71,
-    71,  71,  71,  70,  70,  70,  70,  69,
-    128, 104,  97,  93,  90,  87,  85,  83,
-    82,  80,  79,  78,  77,  76,  76,  75,
-    74,  74,  73,  73,  72,  72,  71,  71,
-    71,  70,  70,  70,  70,  69,  69,  69,
-    128, 104,  97,  92,  89,  86,  84,  83,
-    81,  80,  79,  78,  77,  76,  75,  74,
-    74,  73,  73,  72,  72,  71,  71,  71,
-    70,  70,  70,  70,  69,  69,  69,  69,
-    128, 104,  96,  92,  89,  86,  84,  82,
-    80,  79,  78,  77,  76,  75,  75,  74,
-    73,  73,  72,  72,  71,  71,  71,  70,
-    70,  70,  70,  69,  69,  69,  69,  68,
-    128, 103,  96,  91,  88,  85,  83,  82,
-    80,  79,  78,  77,  76,  75,  74,  74,
-    73,  72,  72,  72,  71,  71,  70,  70,
-    70,  70,  69,  69,  69,  69,  68,  68,
-    128, 103,  96,  91,  88,  85,  83,  81,
-    80,  78,  77,  76,  75,  75,  74,  73,
-    73,  72,  72,  71,  71,  70,  70,  70,
-    70,  69,  69,  69,  69,  68,  68,  68,
-    128, 102,  95,  90,  87,  84,  82,  81,
-    79,  78,  77,  76,  75,  74,  73,  73,
-    72,  72,  71,  71,  71,  70,  70,  70,
-    69,  69,  69,  69,  68,  68,  68,  68,
-    128, 102,  95,  90,  87,  84,  82,  80,
-    79,  77,  76,  75,  75,  74,  73,  73,
-    72,  72,  71,  71,  70,  70,  70,  69,
-    69,  69,  69,  68,  68,  68,  68,  68,
-    128, 102,  94,  90,  86,  84,  82,  80,
-    78,  77,  76,  75,  74,  73,  73,  72,
-    72,  71,  71,  70,  70,  70,  69,  69,
-    69,  69,  68,  68,  68,  68,  68,  67,
-    128, 101,  94,  89,  86,  83,  81,  79,
-    78,  77,  76,  75,  74,  73,  73,  72,
-    71,  71,  71,  70,  70,  69,  69,  69,
-    69,  68,  68,  68,  68,  68,  67,  67,
-    128, 101,  93,  89,  85,  83,  81,  79,
-    78,  76,  75,  74,  74,  73,  72,  72,
-    71,  71,  70,  70,  70,  69,  69,  69,
-    68,  68,  68,  68,  68,  67,  67,  67,
-    128, 101,  93,  88,  85,  82,  80,  79,
-    77,  76,  75,  74,  73,  73,  72,  71,
-    71,  70,  70,  70,  69,  69,  69,  68,
-    68,  68,  68,  68,  67,  67,  67,  67,
-  };
-  int size_scale = (size >= 32 ? 1 :
-                    size == 16 ? 2 :
-                    size == 8  ? 4 : 8);
-  int size_shift = size == 64 ? 1 : 0;
+  int size_scale = (size >= 64 ? 1:
+                    size == 32 ? 2 :
+                    size == 16 ? 4 :
+                    size == 8  ? 8 : 16);
   int i, j;
   switch (mode) {
     case V_PRED:
       for (i = 0; i < size; ++i) {
         for (j = 0; j < size; ++j) {
           int k = i * interstride + j;
-          int scale = weights1d[i * size_scale >> size_shift];
+          int scale = weights1d[i * size_scale];
           interpred[k] =
               ((scale_max - scale) * interpred[k] +
                scale * intrapred[i * intrastride + j] + scale_round)
@@ -544,7 +416,7 @@ static void combine_interintra(MB_PREDICTION_MODE mode,
       for (i = 0; i < size; ++i) {
         for (j = 0; j < size; ++j) {
           int k = i * interstride + j;
-          int scale = weights1d[j * size_scale >> size_shift];
+          int scale = weights1d[j * size_scale];
           interpred[k] =
               ((scale_max - scale) * interpred[k] +
                scale * intrapred[i * intrastride + j] + scale_round)
@@ -558,9 +430,8 @@ static void combine_interintra(MB_PREDICTION_MODE mode,
       for (i = 0; i < size; ++i) {
         for (j = 0; j < size; ++j) {
           int k = i * interstride + j;
-          int scale = (weights2d[(i * size_scale * 32 +
-                                  j * size_scale) >> size_shift] +
-                       weights1d[i * size_scale >> size_shift]) >> 1;
+          int scale = (weights1d[i * size_scale] * 3 +
+                       weights1d[j * size_scale]) >> 2;
           interpred[k] =
               ((scale_max - scale) * interpred[k] +
                scale * intrapred[i * intrastride + j] + scale_round)
@@ -574,9 +445,8 @@ static void combine_interintra(MB_PREDICTION_MODE mode,
       for (i = 0; i < size; ++i) {
         for (j = 0; j < size; ++j) {
           int k = i * interstride + j;
-          int scale = (weights2d[(i * size_scale * 32 +
-                                  j * size_scale) >> size_shift] +
-                       weights1d[j * size_scale >> size_shift]) >> 1;
+          int scale = (weights1d[j * size_scale] * 3 +
+                       weights1d[i * size_scale]) >> 2;
           interpred[k] =
               ((scale_max - scale) * interpred[k] +
                scale * intrapred[i * intrastride + j] + scale_round)
@@ -589,8 +459,7 @@ static void combine_interintra(MB_PREDICTION_MODE mode,
       for (i = 0; i < size; ++i) {
         for (j = 0; j < size; ++j) {
           int k = i * interstride + j;
-          int scale = weights2d[(i * size_scale * 32 +
-                                 j * size_scale) >> size_shift];
+          int scale = weights1d[(i < j ? i : j) * size_scale];
           interpred[k] =
               ((scale_max - scale) * interpred[k] +
                scale * intrapred[i * intrastride + j] + scale_round)