Add m-esr52 at 52.6.0

1 files changed, 281 insertions, 0 deletions

diff --git a/media/libvpx/vp9/encoder/vp9_segmentation.c b/media/libvpx/vp9/encoder/vp9_segmentation.c
new file mode 100644
index 000000000..9b15072e9
--- /dev/null
+++ b/media/libvpx/vp9/encoder/vp9_segmentation.c
@@ -0,0 +1,281 @@
+/*
+ *  Copyright (c) 2012 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 <limits.h>
+
+#include "vpx_mem/vpx_mem.h"
+
+#include "vp9/common/vp9_pred_common.h"
+#include "vp9/common/vp9_tile_common.h"
+
+#include "vp9/encoder/vp9_cost.h"
+#include "vp9/encoder/vp9_segmentation.h"
+
+void vp9_enable_segmentation(struct segmentation *seg) {
+  seg->enabled = 1;
+  seg->update_map = 1;
+  seg->update_data = 1;
+}
+
+void vp9_disable_segmentation(struct segmentation *seg) {
+  seg->enabled = 0;
+  seg->update_map = 0;
+  seg->update_data = 0;
+}
+
+void vp9_set_segment_data(struct segmentation *seg,
+                          signed char *feature_data,
+                          unsigned char abs_delta) {
+  seg->abs_delta = abs_delta;
+
+  memcpy(seg->feature_data, feature_data, sizeof(seg->feature_data));
+}
+void vp9_disable_segfeature(struct segmentation *seg, int segment_id,
+                            SEG_LVL_FEATURES feature_id) {
+  seg->feature_mask[segment_id] &= ~(1 << feature_id);
+}
+
+void vp9_clear_segdata(struct segmentation *seg, int segment_id,
+                       SEG_LVL_FEATURES feature_id) {
+  seg->feature_data[segment_id][feature_id] = 0;
+}
+
+// Based on set of segment counts calculate a probability tree
+static void calc_segtree_probs(int *segcounts, vp9_prob *segment_tree_probs) {
+  // Work out probabilities of each segment
+  const int c01 = segcounts[0] + segcounts[1];
+  const int c23 = segcounts[2] + segcounts[3];
+  const int c45 = segcounts[4] + segcounts[5];
+  const int c67 = segcounts[6] + segcounts[7];
+
+  segment_tree_probs[0] = get_binary_prob(c01 + c23, c45 + c67);
+  segment_tree_probs[1] = get_binary_prob(c01, c23);
+  segment_tree_probs[2] = get_binary_prob(c45, c67);
+  segment_tree_probs[3] = get_binary_prob(segcounts[0], segcounts[1]);
+  segment_tree_probs[4] = get_binary_prob(segcounts[2], segcounts[3]);
+  segment_tree_probs[5] = get_binary_prob(segcounts[4], segcounts[5]);
+  segment_tree_probs[6] = get_binary_prob(segcounts[6], segcounts[7]);
+}
+
+// Based on set of segment counts and probabilities calculate a cost estimate
+static int cost_segmap(int *segcounts, vp9_prob *probs) {
+  const int c01 = segcounts[0] + segcounts[1];
+  const int c23 = segcounts[2] + segcounts[3];
+  const int c45 = segcounts[4] + segcounts[5];
+  const int c67 = segcounts[6] + segcounts[7];
+  const int c0123 = c01 + c23;
+  const int c4567 = c45 + c67;
+
+  // Cost the top node of the tree
+  int cost = c0123 * vp9_cost_zero(probs[0]) +
+             c4567 * vp9_cost_one(probs[0]);
+
+  // Cost subsequent levels
+  if (c0123 > 0) {
+    cost += c01 * vp9_cost_zero(probs[1]) +
+            c23 * vp9_cost_one(probs[1]);
+
+    if (c01 > 0)
+      cost += segcounts[0] * vp9_cost_zero(probs[3]) +
+              segcounts[1] * vp9_cost_one(probs[3]);
+    if (c23 > 0)
+      cost += segcounts[2] * vp9_cost_zero(probs[4]) +
+              segcounts[3] * vp9_cost_one(probs[4]);
+  }
+
+  if (c4567 > 0) {
+    cost += c45 * vp9_cost_zero(probs[2]) +
+            c67 * vp9_cost_one(probs[2]);
+
+    if (c45 > 0)
+      cost += segcounts[4] * vp9_cost_zero(probs[5]) +
+              segcounts[5] * vp9_cost_one(probs[5]);
+    if (c67 > 0)
+      cost += segcounts[6] * vp9_cost_zero(probs[6]) +
+              segcounts[7] * vp9_cost_one(probs[6]);
+  }
+
+  return cost;
+}
+
+static void count_segs(const VP9_COMMON *cm, MACROBLOCKD *xd,
+                       const TileInfo *tile, MODE_INFO **mi,
+                       int *no_pred_segcounts,
+                       int (*temporal_predictor_count)[2],
+                       int *t_unpred_seg_counts,
+                       int bw, int bh, int mi_row, int mi_col) {
+  int segment_id;
+
+  if (mi_row >= cm->mi_rows || mi_col >= cm->mi_cols)
+    return;
+
+  xd->mi = mi;
+  segment_id = xd->mi[0]->mbmi.segment_id;
+
+  set_mi_row_col(xd, tile, mi_row, bh, mi_col, bw, cm->mi_rows, cm->mi_cols);
+
+  // Count the number of hits on each segment with no prediction
+  no_pred_segcounts[segment_id]++;
+
+  // Temporal prediction not allowed on key frames
+  if (cm->frame_type != KEY_FRAME) {
+    const BLOCK_SIZE bsize = xd->mi[0]->mbmi.sb_type;
+    // Test to see if the segment id matches the predicted value.
+    const int pred_segment_id = vp9_get_segment_id(cm, cm->last_frame_seg_map,
+                                                   bsize, mi_row, mi_col);
+    const int pred_flag = pred_segment_id == segment_id;
+    const int pred_context = vp9_get_pred_context_seg_id(xd);
+
+    // Store the prediction status for this mb and update counts
+    // as appropriate
+    xd->mi[0]->mbmi.seg_id_predicted = pred_flag;
+    temporal_predictor_count[pred_context][pred_flag]++;
+
+    // Update the "unpredicted" segment count
+    if (!pred_flag)
+      t_unpred_seg_counts[segment_id]++;
+  }
+}
+
+static void count_segs_sb(const VP9_COMMON *cm, MACROBLOCKD *xd,
+                          const TileInfo *tile, MODE_INFO **mi,
+                          int *no_pred_segcounts,
+                          int (*temporal_predictor_count)[2],
+                          int *t_unpred_seg_counts,
+                          int mi_row, int mi_col,
+                          BLOCK_SIZE bsize) {
+  const int mis = cm->mi_stride;
+  int bw, bh;
+  const int bs = num_8x8_blocks_wide_lookup[bsize], hbs = bs / 2;
+
+  if (mi_row >= cm->mi_rows || mi_col >= cm->mi_cols)
+    return;
+
+  bw = num_8x8_blocks_wide_lookup[mi[0]->mbmi.sb_type];
+  bh = num_8x8_blocks_high_lookup[mi[0]->mbmi.sb_type];
+
+  if (bw == bs && bh == bs) {
+    count_segs(cm, xd, tile, mi, no_pred_segcounts, temporal_predictor_count,
+               t_unpred_seg_counts, bs, bs, mi_row, mi_col);
+  } else if (bw == bs && bh < bs) {
+    count_segs(cm, xd, tile, mi, no_pred_segcounts, temporal_predictor_count,
+               t_unpred_seg_counts, bs, hbs, mi_row, mi_col);
+    count_segs(cm, xd, tile, mi + hbs * mis, no_pred_segcounts,
+               temporal_predictor_count, t_unpred_seg_counts, bs, hbs,
+               mi_row + hbs, mi_col);
+  } else if (bw < bs && bh == bs) {
+    count_segs(cm, xd, tile, mi, no_pred_segcounts, temporal_predictor_count,
+               t_unpred_seg_counts, hbs, bs, mi_row, mi_col);
+    count_segs(cm, xd, tile, mi + hbs,
+               no_pred_segcounts, temporal_predictor_count, t_unpred_seg_counts,
+               hbs, bs, mi_row, mi_col + hbs);
+  } else {
+    const BLOCK_SIZE subsize = subsize_lookup[PARTITION_SPLIT][bsize];
+    int n;
+
+    assert(bw < bs && bh < bs);
+
+    for (n = 0; n < 4; n++) {
+      const int mi_dc = hbs * (n & 1);
+      const int mi_dr = hbs * (n >> 1);
+
+      count_segs_sb(cm, xd, tile, &mi[mi_dr * mis + mi_dc],
+                    no_pred_segcounts, temporal_predictor_count,
+                    t_unpred_seg_counts,
+                    mi_row + mi_dr, mi_col + mi_dc, subsize);
+    }
+  }
+}
+
+void vp9_choose_segmap_coding_method(VP9_COMMON *cm, MACROBLOCKD *xd) {
+  struct segmentation *seg = &cm->seg;
+
+  int no_pred_cost;
+  int t_pred_cost = INT_MAX;
+
+  int i, tile_col, mi_row, mi_col;
+
+  int temporal_predictor_count[PREDICTION_PROBS][2] = { { 0 } };
+  int no_pred_segcounts[MAX_SEGMENTS] = { 0 };
+  int t_unpred_seg_counts[MAX_SEGMENTS] = { 0 };
+
+  vp9_prob no_pred_tree[SEG_TREE_PROBS];
+  vp9_prob t_pred_tree[SEG_TREE_PROBS];
+  vp9_prob t_nopred_prob[PREDICTION_PROBS];
+
+  // Set default state for the segment tree probabilities and the
+  // temporal coding probabilities
+  memset(seg->tree_probs, 255, sizeof(seg->tree_probs));
+  memset(seg->pred_probs, 255, sizeof(seg->pred_probs));
+
+  // First of all generate stats regarding how well the last segment map
+  // predicts this one
+  for (tile_col = 0; tile_col < 1 << cm->log2_tile_cols; tile_col++) {
+    TileInfo tile;
+    MODE_INFO **mi_ptr;
+    vp9_tile_init(&tile, cm, 0, tile_col);
+
+    mi_ptr = cm->mi_grid_visible + tile.mi_col_start;
+    for (mi_row = 0; mi_row < cm->mi_rows;
+         mi_row += 8, mi_ptr += 8 * cm->mi_stride) {
+      MODE_INFO **mi = mi_ptr;
+      for (mi_col = tile.mi_col_start; mi_col < tile.mi_col_end;
+           mi_col += 8, mi += 8)
+        count_segs_sb(cm, xd, &tile, mi, no_pred_segcounts,
+                      temporal_predictor_count, t_unpred_seg_counts,
+                      mi_row, mi_col, BLOCK_64X64);
+    }
+  }
+
+  // Work out probability tree for coding segments without prediction
+  // and the cost.
+  calc_segtree_probs(no_pred_segcounts, no_pred_tree);
+  no_pred_cost = cost_segmap(no_pred_segcounts, no_pred_tree);
+
+  // Key frames cannot use temporal prediction
+  if (!frame_is_intra_only(cm)) {
+    // Work out probability tree for coding those segments not
+    // predicted using the temporal method and the cost.
+    calc_segtree_probs(t_unpred_seg_counts, t_pred_tree);
+    t_pred_cost = cost_segmap(t_unpred_seg_counts, t_pred_tree);
+
+    // Add in the cost of the signaling for each prediction context.
+    for (i = 0; i < PREDICTION_PROBS; i++) {
+      const int count0 = temporal_predictor_count[i][0];
+      const int count1 = temporal_predictor_count[i][1];
+
+      t_nopred_prob[i] = get_binary_prob(count0, count1);
+
+      // Add in the predictor signaling cost
+      t_pred_cost += count0 * vp9_cost_zero(t_nopred_prob[i]) +
+                     count1 * vp9_cost_one(t_nopred_prob[i]);
+    }
+  }
+
+  // Now choose which coding method to use.
+  if (t_pred_cost < no_pred_cost) {
+    seg->temporal_update = 1;
+    memcpy(seg->tree_probs, t_pred_tree, sizeof(t_pred_tree));
+    memcpy(seg->pred_probs, t_nopred_prob, sizeof(t_nopred_prob));
+  } else {
+    seg->temporal_update = 0;
+    memcpy(seg->tree_probs, no_pred_tree, sizeof(no_pred_tree));
+  }
+}
+
+void vp9_reset_segment_features(struct segmentation *seg) {
+  // Set up default state for MB feature flags
+  seg->enabled = 0;
+  seg->update_map = 0;
+  seg->update_data = 0;
+  memset(seg->tree_probs, 255, sizeof(seg->tree_probs));
+  vp9_clearall_segfeatures(seg);
+}