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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 |
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| 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 }; |
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| 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 |
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| 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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