| Index: source/libvpx/vp9/encoder/vp9_segmentation.c
|
| ===================================================================
|
| --- source/libvpx/vp9/encoder/vp9_segmentation.c (revision 232232)
|
| +++ source/libvpx/vp9/encoder/vp9_segmentation.c (working copy)
|
| @@ -117,7 +117,8 @@
|
| return cost;
|
| }
|
|
|
| -static void count_segs(VP9_COMP *cpi, MODE_INFO **mi_8x8,
|
| +static void count_segs(VP9_COMP *cpi, const TileInfo *const tile,
|
| + MODE_INFO **mi_8x8,
|
| int *no_pred_segcounts,
|
| int (*temporal_predictor_count)[2],
|
| int *t_unpred_seg_counts,
|
| @@ -129,9 +130,10 @@
|
| if (mi_row >= cm->mi_rows || mi_col >= cm->mi_cols)
|
| return;
|
|
|
| - segment_id = mi_8x8[0]->mbmi.segment_id;
|
| + xd->mi_8x8 = mi_8x8;
|
| + segment_id = xd->mi_8x8[0]->mbmi.segment_id;
|
|
|
| - set_mi_row_col(cm, xd, mi_row, bh, mi_col, bw);
|
| + 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]++;
|
| @@ -156,7 +158,8 @@
|
| }
|
| }
|
|
|
| -static void count_segs_sb(VP9_COMP *cpi, MODE_INFO **mi_8x8,
|
| +static void count_segs_sb(VP9_COMP *cpi, const TileInfo *const tile,
|
| + MODE_INFO **mi_8x8,
|
| int *no_pred_segcounts,
|
| int (*temporal_predictor_count)[2],
|
| int *t_unpred_seg_counts,
|
| @@ -174,19 +177,20 @@
|
| bh = num_8x8_blocks_high_lookup[mi_8x8[0]->mbmi.sb_type];
|
|
|
| if (bw == bs && bh == bs) {
|
| - count_segs(cpi, mi_8x8, no_pred_segcounts, temporal_predictor_count,
|
| + count_segs(cpi, tile, mi_8x8, no_pred_segcounts, temporal_predictor_count,
|
| t_unpred_seg_counts, bs, bs, mi_row, mi_col);
|
| } else if (bw == bs && bh < bs) {
|
| - count_segs(cpi, mi_8x8, no_pred_segcounts, temporal_predictor_count,
|
| + count_segs(cpi, tile, mi_8x8, no_pred_segcounts, temporal_predictor_count,
|
| t_unpred_seg_counts, bs, hbs, mi_row, mi_col);
|
| - count_segs(cpi, mi_8x8 + hbs * mis, no_pred_segcounts,
|
| + count_segs(cpi, tile, mi_8x8 + 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(cpi, mi_8x8, no_pred_segcounts, temporal_predictor_count,
|
| + count_segs(cpi, tile, mi_8x8, no_pred_segcounts, temporal_predictor_count,
|
| t_unpred_seg_counts, hbs, bs, mi_row, mi_col);
|
| - count_segs(cpi, mi_8x8 + hbs, no_pred_segcounts, temporal_predictor_count,
|
| - t_unpred_seg_counts, hbs, bs, mi_row, mi_col + hbs);
|
| + count_segs(cpi, tile, mi_8x8 + 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;
|
| @@ -197,7 +201,7 @@
|
| const int mi_dc = hbs * (n & 1);
|
| const int mi_dr = hbs * (n >> 1);
|
|
|
| - count_segs_sb(cpi, &mi_8x8[mi_dr * mis + mi_dc],
|
| + count_segs_sb(cpi, tile, &mi_8x8[mi_dr * mis + mi_dc],
|
| no_pred_segcounts, temporal_predictor_count,
|
| t_unpred_seg_counts,
|
| mi_row + mi_dr, mi_col + mi_dc, subsize);
|
| @@ -233,15 +237,18 @@
|
| // 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++) {
|
| - vp9_get_tile_col_offsets(cm, tile_col);
|
| - mi_ptr = cm->mi_grid_visible + cm->cur_tile_mi_col_start;
|
| + TileInfo tile;
|
| +
|
| + 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 * mis) {
|
| mi = mi_ptr;
|
| - for (mi_col = cm->cur_tile_mi_col_start; mi_col < cm->cur_tile_mi_col_end;
|
| + for (mi_col = tile.mi_col_start; mi_col < tile.mi_col_end;
|
| mi_col += 8, mi += 8)
|
| - count_segs_sb(cpi, mi, no_pred_segcounts, temporal_predictor_count,
|
| - t_unpred_seg_counts, mi_row, mi_col, BLOCK_64X64);
|
| + count_segs_sb(cpi, &tile, mi, no_pred_segcounts,
|
| + temporal_predictor_count, t_unpred_seg_counts,
|
| + mi_row, mi_col, BLOCK_64X64);
|
| }
|
| }
|
|
|
| @@ -251,13 +258,13 @@
|
| no_pred_cost = cost_segmap(no_pred_segcounts, no_pred_tree);
|
|
|
| // Key frames cannot use temporal prediction
|
| - if (cm->frame_type != KEY_FRAME) {
|
| + 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 signalling for each prediction context
|
| + // 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];
|
|
|