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Side by Side Diff: source/libvpx/vp9/encoder/vp9_segmentation.c

Issue 478033002: libvpx: Pull from upstream (Closed) Base URL: svn://svn.chromium.org/chrome/trunk/deps/third_party/libvpx/
Patch Set: Created 6 years, 4 months ago
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1 /* 1 /*
2 * Copyright (c) 2012 The WebM project authors. All Rights Reserved. 2 * Copyright (c) 2012 The WebM project authors. All Rights Reserved.
3 * 3 *
4 * Use of this source code is governed by a BSD-style license 4 * Use of this source code is governed by a BSD-style license
5 * that can be found in the LICENSE file in the root of the source 5 * that can be found in the LICENSE file in the root of the source
6 * tree. An additional intellectual property rights grant can be found 6 * tree. An additional intellectual property rights grant can be found
7 * in the file PATENTS. All contributing project authors may 7 * in the file PATENTS. All contributing project authors may
8 * be found in the AUTHORS file in the root of the source tree. 8 * be found in the AUTHORS file in the root of the source tree.
9 */ 9 */
10 10
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103 cost += segcounts[4] * vp9_cost_zero(probs[5]) + 103 cost += segcounts[4] * vp9_cost_zero(probs[5]) +
104 segcounts[5] * vp9_cost_one(probs[5]); 104 segcounts[5] * vp9_cost_one(probs[5]);
105 if (c67 > 0) 105 if (c67 > 0)
106 cost += segcounts[6] * vp9_cost_zero(probs[6]) + 106 cost += segcounts[6] * vp9_cost_zero(probs[6]) +
107 segcounts[7] * vp9_cost_one(probs[6]); 107 segcounts[7] * vp9_cost_one(probs[6]);
108 } 108 }
109 109
110 return cost; 110 return cost;
111 } 111 }
112 112
113 static void count_segs(VP9_COMP *cpi, const TileInfo *const tile, 113 static void count_segs(const VP9_COMMON *cm, MACROBLOCKD *xd,
114 MODE_INFO **mi, 114 const TileInfo *tile, MODE_INFO **mi,
115 int *no_pred_segcounts, 115 int *no_pred_segcounts,
116 int (*temporal_predictor_count)[2], 116 int (*temporal_predictor_count)[2],
117 int *t_unpred_seg_counts, 117 int *t_unpred_seg_counts,
118 int bw, int bh, int mi_row, int mi_col) { 118 int bw, int bh, int mi_row, int mi_col) {
119 VP9_COMMON *const cm = &cpi->common;
120 MACROBLOCKD *const xd = &cpi->mb.e_mbd;
121 int segment_id; 119 int segment_id;
122 120
123 if (mi_row >= cm->mi_rows || mi_col >= cm->mi_cols) 121 if (mi_row >= cm->mi_rows || mi_col >= cm->mi_cols)
124 return; 122 return;
125 123
126 xd->mi = mi; 124 xd->mi = mi;
127 segment_id = xd->mi[0]->mbmi.segment_id; 125 segment_id = xd->mi[0]->mbmi.segment_id;
128 126
129 set_mi_row_col(xd, tile, mi_row, bh, mi_col, bw, cm->mi_rows, cm->mi_cols); 127 set_mi_row_col(xd, tile, mi_row, bh, mi_col, bw, cm->mi_rows, cm->mi_cols);
130 128
(...skipping 13 matching lines...) Expand all
144 // as appropriate 142 // as appropriate
145 xd->mi[0]->mbmi.seg_id_predicted = pred_flag; 143 xd->mi[0]->mbmi.seg_id_predicted = pred_flag;
146 temporal_predictor_count[pred_context][pred_flag]++; 144 temporal_predictor_count[pred_context][pred_flag]++;
147 145
148 // Update the "unpredicted" segment count 146 // Update the "unpredicted" segment count
149 if (!pred_flag) 147 if (!pred_flag)
150 t_unpred_seg_counts[segment_id]++; 148 t_unpred_seg_counts[segment_id]++;
151 } 149 }
152 } 150 }
153 151
154 static void count_segs_sb(VP9_COMP *cpi, const TileInfo *const tile, 152 static void count_segs_sb(const VP9_COMMON *cm, MACROBLOCKD *xd,
155 MODE_INFO **mi, 153 const TileInfo *tile, MODE_INFO **mi,
156 int *no_pred_segcounts, 154 int *no_pred_segcounts,
157 int (*temporal_predictor_count)[2], 155 int (*temporal_predictor_count)[2],
158 int *t_unpred_seg_counts, 156 int *t_unpred_seg_counts,
159 int mi_row, int mi_col, 157 int mi_row, int mi_col,
160 BLOCK_SIZE bsize) { 158 BLOCK_SIZE bsize) {
161 const VP9_COMMON *const cm = &cpi->common;
162 const int mis = cm->mi_stride; 159 const int mis = cm->mi_stride;
163 int bw, bh; 160 int bw, bh;
164 const int bs = num_8x8_blocks_wide_lookup[bsize], hbs = bs / 2; 161 const int bs = num_8x8_blocks_wide_lookup[bsize], hbs = bs / 2;
165 162
166 if (mi_row >= cm->mi_rows || mi_col >= cm->mi_cols) 163 if (mi_row >= cm->mi_rows || mi_col >= cm->mi_cols)
167 return; 164 return;
168 165
169 bw = num_8x8_blocks_wide_lookup[mi[0]->mbmi.sb_type]; 166 bw = num_8x8_blocks_wide_lookup[mi[0]->mbmi.sb_type];
170 bh = num_8x8_blocks_high_lookup[mi[0]->mbmi.sb_type]; 167 bh = num_8x8_blocks_high_lookup[mi[0]->mbmi.sb_type];
171 168
172 if (bw == bs && bh == bs) { 169 if (bw == bs && bh == bs) {
173 count_segs(cpi, tile, mi, no_pred_segcounts, temporal_predictor_count, 170 count_segs(cm, xd, tile, mi, no_pred_segcounts, temporal_predictor_count,
174 t_unpred_seg_counts, bs, bs, mi_row, mi_col); 171 t_unpred_seg_counts, bs, bs, mi_row, mi_col);
175 } else if (bw == bs && bh < bs) { 172 } else if (bw == bs && bh < bs) {
176 count_segs(cpi, tile, mi, no_pred_segcounts, temporal_predictor_count, 173 count_segs(cm, xd, tile, mi, no_pred_segcounts, temporal_predictor_count,
177 t_unpred_seg_counts, bs, hbs, mi_row, mi_col); 174 t_unpred_seg_counts, bs, hbs, mi_row, mi_col);
178 count_segs(cpi, tile, mi + hbs * mis, no_pred_segcounts, 175 count_segs(cm, xd, tile, mi + hbs * mis, no_pred_segcounts,
179 temporal_predictor_count, t_unpred_seg_counts, bs, hbs, 176 temporal_predictor_count, t_unpred_seg_counts, bs, hbs,
180 mi_row + hbs, mi_col); 177 mi_row + hbs, mi_col);
181 } else if (bw < bs && bh == bs) { 178 } else if (bw < bs && bh == bs) {
182 count_segs(cpi, tile, mi, no_pred_segcounts, temporal_predictor_count, 179 count_segs(cm, xd, tile, mi, no_pred_segcounts, temporal_predictor_count,
183 t_unpred_seg_counts, hbs, bs, mi_row, mi_col); 180 t_unpred_seg_counts, hbs, bs, mi_row, mi_col);
184 count_segs(cpi, tile, mi + hbs, 181 count_segs(cm, xd, tile, mi + hbs,
185 no_pred_segcounts, temporal_predictor_count, t_unpred_seg_counts, 182 no_pred_segcounts, temporal_predictor_count, t_unpred_seg_counts,
186 hbs, bs, mi_row, mi_col + hbs); 183 hbs, bs, mi_row, mi_col + hbs);
187 } else { 184 } else {
188 const BLOCK_SIZE subsize = subsize_lookup[PARTITION_SPLIT][bsize]; 185 const BLOCK_SIZE subsize = subsize_lookup[PARTITION_SPLIT][bsize];
189 int n; 186 int n;
190 187
191 assert(bw < bs && bh < bs); 188 assert(bw < bs && bh < bs);
192 189
193 for (n = 0; n < 4; n++) { 190 for (n = 0; n < 4; n++) {
194 const int mi_dc = hbs * (n & 1); 191 const int mi_dc = hbs * (n & 1);
195 const int mi_dr = hbs * (n >> 1); 192 const int mi_dr = hbs * (n >> 1);
196 193
197 count_segs_sb(cpi, tile, &mi[mi_dr * mis + mi_dc], 194 count_segs_sb(cm, xd, tile, &mi[mi_dr * mis + mi_dc],
198 no_pred_segcounts, temporal_predictor_count, 195 no_pred_segcounts, temporal_predictor_count,
199 t_unpred_seg_counts, 196 t_unpred_seg_counts,
200 mi_row + mi_dr, mi_col + mi_dc, subsize); 197 mi_row + mi_dr, mi_col + mi_dc, subsize);
201 } 198 }
202 } 199 }
203 } 200 }
204 201
205 void vp9_choose_segmap_coding_method(VP9_COMP *cpi) { 202 void vp9_choose_segmap_coding_method(VP9_COMMON *cm, MACROBLOCKD *xd) {
206 VP9_COMMON *const cm = &cpi->common;
207 struct segmentation *seg = &cm->seg; 203 struct segmentation *seg = &cm->seg;
208 204
209 int no_pred_cost; 205 int no_pred_cost;
210 int t_pred_cost = INT_MAX; 206 int t_pred_cost = INT_MAX;
211 207
212 int i, tile_col, mi_row, mi_col; 208 int i, tile_col, mi_row, mi_col;
213 209
214 int temporal_predictor_count[PREDICTION_PROBS][2] = { { 0 } }; 210 int temporal_predictor_count[PREDICTION_PROBS][2] = { { 0 } };
215 int no_pred_segcounts[MAX_SEGMENTS] = { 0 }; 211 int no_pred_segcounts[MAX_SEGMENTS] = { 0 };
216 int t_unpred_seg_counts[MAX_SEGMENTS] = { 0 }; 212 int t_unpred_seg_counts[MAX_SEGMENTS] = { 0 };
(...skipping 13 matching lines...) Expand all
230 TileInfo tile; 226 TileInfo tile;
231 MODE_INFO **mi_ptr; 227 MODE_INFO **mi_ptr;
232 vp9_tile_init(&tile, cm, 0, tile_col); 228 vp9_tile_init(&tile, cm, 0, tile_col);
233 229
234 mi_ptr = cm->mi_grid_visible + tile.mi_col_start; 230 mi_ptr = cm->mi_grid_visible + tile.mi_col_start;
235 for (mi_row = 0; mi_row < cm->mi_rows; 231 for (mi_row = 0; mi_row < cm->mi_rows;
236 mi_row += 8, mi_ptr += 8 * cm->mi_stride) { 232 mi_row += 8, mi_ptr += 8 * cm->mi_stride) {
237 MODE_INFO **mi = mi_ptr; 233 MODE_INFO **mi = mi_ptr;
238 for (mi_col = tile.mi_col_start; mi_col < tile.mi_col_end; 234 for (mi_col = tile.mi_col_start; mi_col < tile.mi_col_end;
239 mi_col += 8, mi += 8) 235 mi_col += 8, mi += 8)
240 count_segs_sb(cpi, &tile, mi, no_pred_segcounts, 236 count_segs_sb(cm, xd, &tile, mi, no_pred_segcounts,
241 temporal_predictor_count, t_unpred_seg_counts, 237 temporal_predictor_count, t_unpred_seg_counts,
242 mi_row, mi_col, BLOCK_64X64); 238 mi_row, mi_col, BLOCK_64X64);
243 } 239 }
244 } 240 }
245 241
246 // Work out probability tree for coding segments without prediction 242 // Work out probability tree for coding segments without prediction
247 // and the cost. 243 // and the cost.
248 calc_segtree_probs(no_pred_segcounts, no_pred_tree); 244 calc_segtree_probs(no_pred_segcounts, no_pred_tree);
249 no_pred_cost = cost_segmap(no_pred_segcounts, no_pred_tree); 245 no_pred_cost = cost_segmap(no_pred_segcounts, no_pred_tree);
250 246
(...skipping 29 matching lines...) Expand all
280 } 276 }
281 277
282 void vp9_reset_segment_features(struct segmentation *seg) { 278 void vp9_reset_segment_features(struct segmentation *seg) {
283 // Set up default state for MB feature flags 279 // Set up default state for MB feature flags
284 seg->enabled = 0; 280 seg->enabled = 0;
285 seg->update_map = 0; 281 seg->update_map = 0;
286 seg->update_data = 0; 282 seg->update_data = 0;
287 vpx_memset(seg->tree_probs, 255, sizeof(seg->tree_probs)); 283 vpx_memset(seg->tree_probs, 255, sizeof(seg->tree_probs));
288 vp9_clearall_segfeatures(seg); 284 vp9_clearall_segfeatures(seg);
289 } 285 }
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