| OLD | NEW |
| 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 |
| 11 #include "vp9/common/vp9_mvref_common.h" | 11 #include "vp9/common/vp9_mvref_common.h" |
| 12 | 12 |
| 13 #define MVREF_NEIGHBOURS 8 | 13 #define MVREF_NEIGHBOURS 8 |
| 14 static int mb_mv_ref_search[MVREF_NEIGHBOURS][2] = { | 14 static int mb_mv_ref_search[MVREF_NEIGHBOURS][2] = { |
| 15 {0, -1}, {-1, 0}, {-1, -1}, {0, -2}, | 15 {0, -1}, {-1, 0}, {-1, -1}, {0, -2}, |
| 16 {-2, 0}, {-1, -2}, {-2, -1}, {-2, -2} | 16 {-2, 0}, {-1, -2}, {-2, -1}, {-2, -2} |
| 17 }; | 17 }; |
| 18 static int mb_ref_distance_weight[MVREF_NEIGHBOURS] = | 18 static int mb_ref_distance_weight[MVREF_NEIGHBOURS] = |
| 19 { 3, 3, 2, 1, 1, 1, 1, 1 }; | 19 { 3, 3, 2, 1, 1, 1, 1, 1 }; |
| 20 #if CONFIG_SUPERBLOCKS | |
| 21 static int sb_mv_ref_search[MVREF_NEIGHBOURS][2] = { | 20 static int sb_mv_ref_search[MVREF_NEIGHBOURS][2] = { |
| 22 {0, -1}, {-1, 0}, {1, -1}, {-1, 1}, | 21 {0, -1}, {-1, 0}, {1, -1}, {-1, 1}, |
| 23 {-1, -1}, {0, -2}, {-2, 0}, {-1, -2} | 22 {-1, -1}, {0, -2}, {-2, 0}, {-1, -2} |
| 24 }; | 23 }; |
| 25 static int sb_ref_distance_weight[MVREF_NEIGHBOURS] = | 24 static int sb_ref_distance_weight[MVREF_NEIGHBOURS] = |
| 26 { 3, 3, 2, 2, 2, 1, 1, 1 }; | 25 { 3, 3, 2, 2, 2, 1, 1, 1 }; |
| 27 #endif | 26 |
| 28 // clamp_mv | 27 // clamp_mv |
| 29 #define MV_BORDER (16 << 3) // Allow 16 pels in 1/8th pel units | 28 #define MV_BORDER (16 << 3) // Allow 16 pels in 1/8th pel units |
| 30 static void clamp_mv(const MACROBLOCKD *xd, int_mv *mv) { | 29 static void clamp_mv(const MACROBLOCKD *xd, int_mv *mv) { |
| 31 | 30 |
| 32 if (mv->as_mv.col < (xd->mb_to_left_edge - MV_BORDER)) | 31 if (mv->as_mv.col < (xd->mb_to_left_edge - MV_BORDER)) |
| 33 mv->as_mv.col = xd->mb_to_left_edge - MV_BORDER; | 32 mv->as_mv.col = xd->mb_to_left_edge - MV_BORDER; |
| 34 else if (mv->as_mv.col > xd->mb_to_right_edge + MV_BORDER) | 33 else if (mv->as_mv.col > xd->mb_to_right_edge + MV_BORDER) |
| 35 mv->as_mv.col = xd->mb_to_right_edge + MV_BORDER; | 34 mv->as_mv.col = xd->mb_to_right_edge + MV_BORDER; |
| 36 | 35 |
| 37 if (mv->as_mv.row < (xd->mb_to_top_edge - MV_BORDER)) | 36 if (mv->as_mv.row < (xd->mb_to_top_edge - MV_BORDER)) |
| 38 mv->as_mv.row = xd->mb_to_top_edge - MV_BORDER; | 37 mv->as_mv.row = xd->mb_to_top_edge - MV_BORDER; |
| 39 else if (mv->as_mv.row > xd->mb_to_bottom_edge + MV_BORDER) | 38 else if (mv->as_mv.row > xd->mb_to_bottom_edge + MV_BORDER) |
| 40 mv->as_mv.row = xd->mb_to_bottom_edge + MV_BORDER; | 39 mv->as_mv.row = xd->mb_to_bottom_edge + MV_BORDER; |
| 41 } | 40 } |
| 42 | 41 |
| 42 // Gets a candidate refenence motion vector from the given mode info |
| 43 // structure if one exists that matches the given reference frame. |
| 44 static int get_matching_candidate( |
| 45 const MODE_INFO *candidate_mi, |
| 46 MV_REFERENCE_FRAME ref_frame, |
| 47 int_mv *c_mv |
| 48 ) { |
| 49 int ret_val = TRUE; |
| 43 | 50 |
| 44 // Gets a best matching candidate refenence motion vector | 51 if (ref_frame == candidate_mi->mbmi.ref_frame) { |
| 45 // from the given mode info structure (if available) | 52 c_mv->as_int = candidate_mi->mbmi.mv[0].as_int; |
| 46 static int get_candidate_mvref( | 53 } else if (ref_frame == candidate_mi->mbmi.second_ref_frame) { |
| 54 c_mv->as_int = candidate_mi->mbmi.mv[1].as_int; |
| 55 } else { |
| 56 ret_val = FALSE; |
| 57 } |
| 58 |
| 59 return ret_val; |
| 60 } |
| 61 |
| 62 // Gets candidate refenence motion vector(s) from the given mode info |
| 63 // structure if they exists and do NOT match the given reference frame. |
| 64 static void get_non_matching_candidates( |
| 47 const MODE_INFO *candidate_mi, | 65 const MODE_INFO *candidate_mi, |
| 48 MV_REFERENCE_FRAME ref_frame, | 66 MV_REFERENCE_FRAME ref_frame, |
| 49 MV_REFERENCE_FRAME *c_ref_frame, | 67 MV_REFERENCE_FRAME *c_ref_frame, |
| 50 int_mv *c_mv, | 68 int_mv *c_mv, |
| 51 MV_REFERENCE_FRAME *c2_ref_frame, | 69 MV_REFERENCE_FRAME *c2_ref_frame, |
| 52 int_mv *c2_mv | 70 int_mv *c2_mv |
| 53 ) { | 71 ) { |
| 54 | 72 |
| 55 int ret_val = FALSE; | 73 c_mv->as_int = 0; |
| 56 c2_mv->as_int = 0; | 74 c2_mv->as_int = 0; |
| 75 *c_ref_frame = INTRA_FRAME; |
| 57 *c2_ref_frame = INTRA_FRAME; | 76 *c2_ref_frame = INTRA_FRAME; |
| 58 | 77 |
| 59 // Target ref frame matches candidate first ref frame | 78 // If first candidate not valid neither will be. |
| 60 if (ref_frame == candidate_mi->mbmi.ref_frame) { | 79 if (candidate_mi->mbmi.ref_frame > INTRA_FRAME) { |
| 61 c_mv->as_int = candidate_mi->mbmi.mv[0].as_int; | 80 // First candidate |
| 62 *c_ref_frame = ref_frame; | 81 if (candidate_mi->mbmi.ref_frame != ref_frame) { |
| 63 ret_val = TRUE; | 82 *c_ref_frame = candidate_mi->mbmi.ref_frame; |
| 64 | 83 c_mv->as_int = candidate_mi->mbmi.mv[0].as_int; |
| 65 // Is there a second non zero vector we can use. | |
| 66 if ((candidate_mi->mbmi.second_ref_frame > INTRA_FRAME) && | |
| 67 (candidate_mi->mbmi.mv[1].as_int != 0) && | |
| 68 (candidate_mi->mbmi.mv[1].as_int != c_mv->as_int)) { | |
| 69 c2_mv->as_int = candidate_mi->mbmi.mv[1].as_int; | |
| 70 *c2_ref_frame = candidate_mi->mbmi.second_ref_frame; | |
| 71 } | 84 } |
| 72 | 85 |
| 73 // Target ref frame matches candidate second ref frame | 86 // Second candidate |
| 74 } else if (ref_frame == candidate_mi->mbmi.second_ref_frame) { | 87 if ((candidate_mi->mbmi.second_ref_frame > INTRA_FRAME) && |
| 75 c_mv->as_int = candidate_mi->mbmi.mv[1].as_int; | 88 (candidate_mi->mbmi.second_ref_frame != ref_frame)) { // && |
| 76 *c_ref_frame = ref_frame; | 89 // (candidate_mi->mbmi.mv[1].as_int != 0) && |
| 77 ret_val = TRUE; | 90 // (candidate_mi->mbmi.mv[1].as_int != |
| 78 | 91 // candidate_mi->mbmi.mv[0].as_int)) { |
| 79 // Is there a second non zero vector we can use. | 92 *c2_ref_frame = candidate_mi->mbmi.second_ref_frame; |
| 80 if ((candidate_mi->mbmi.ref_frame > INTRA_FRAME) && | 93 c2_mv->as_int = candidate_mi->mbmi.mv[1].as_int; |
| 81 (candidate_mi->mbmi.mv[0].as_int != 0) && | |
| 82 (candidate_mi->mbmi.mv[0].as_int != c_mv->as_int)) { | |
| 83 c2_mv->as_int = candidate_mi->mbmi.mv[0].as_int; | |
| 84 *c2_ref_frame = candidate_mi->mbmi.ref_frame; | |
| 85 } | 94 } |
| 86 | |
| 87 // No ref frame matches so use first ref mv as first choice | |
| 88 } else if (candidate_mi->mbmi.ref_frame > INTRA_FRAME) { | |
| 89 c_mv->as_int = candidate_mi->mbmi.mv[0].as_int; | |
| 90 *c_ref_frame = candidate_mi->mbmi.ref_frame; | |
| 91 ret_val = TRUE; | |
| 92 | |
| 93 // Is there a second non zero vector we can use. | |
| 94 if ((candidate_mi->mbmi.second_ref_frame > INTRA_FRAME) && | |
| 95 (candidate_mi->mbmi.mv[1].as_int != 0) && | |
| 96 (candidate_mi->mbmi.mv[1].as_int != c_mv->as_int)) { | |
| 97 c2_mv->as_int = candidate_mi->mbmi.mv[1].as_int; | |
| 98 *c2_ref_frame = candidate_mi->mbmi.second_ref_frame; | |
| 99 } | |
| 100 | |
| 101 // If only the second ref mv is valid:- (Should not trigger in current code | |
| 102 // base given current possible compound prediction options). | |
| 103 } else if (candidate_mi->mbmi.second_ref_frame > INTRA_FRAME) { | |
| 104 c_mv->as_int = candidate_mi->mbmi.mv[1].as_int; | |
| 105 *c_ref_frame = candidate_mi->mbmi.second_ref_frame; | |
| 106 ret_val = TRUE; | |
| 107 } | 95 } |
| 108 | |
| 109 return ret_val; | |
| 110 } | 96 } |
| 111 | 97 |
| 112 // Performs mv adjustment based on reference frame and clamps the MV | 98 // Performs mv adjustment based on reference frame and clamps the MV |
| 113 // if it goes off the edge of the buffer. | 99 // if it goes off the edge of the buffer. |
| 114 static void scale_mv( | 100 static void scale_mv( |
| 115 MACROBLOCKD *xd, | 101 MACROBLOCKD *xd, |
| 116 MV_REFERENCE_FRAME this_ref_frame, | 102 MV_REFERENCE_FRAME this_ref_frame, |
| 117 MV_REFERENCE_FRAME candidate_ref_frame, | 103 MV_REFERENCE_FRAME candidate_ref_frame, |
| 118 int_mv *candidate_mv, | 104 int_mv *candidate_mv, |
| 119 int *ref_sign_bias | 105 int *ref_sign_bias |
| (...skipping 43 matching lines...) Expand 10 before | Expand all | Expand 10 after Loading... |
| 163 // If it is not new then the score of the existing candidate that it matches | 149 // If it is not new then the score of the existing candidate that it matches |
| 164 // is increased and the list is resorted. | 150 // is increased and the list is resorted. |
| 165 static void addmv_and_shuffle( | 151 static void addmv_and_shuffle( |
| 166 int_mv *mv_list, | 152 int_mv *mv_list, |
| 167 int *mv_scores, | 153 int *mv_scores, |
| 168 int *index, | 154 int *index, |
| 169 int_mv candidate_mv, | 155 int_mv candidate_mv, |
| 170 int weight | 156 int weight |
| 171 ) { | 157 ) { |
| 172 | 158 |
| 173 int i = *index; | 159 int i; |
| 160 int insert_point; |
| 174 int duplicate_found = FALSE; | 161 int duplicate_found = FALSE; |
| 175 | 162 |
| 176 // Check for duplicates. If there is one increment its score. | 163 // Check for duplicates. If there is one increase its score. |
| 177 // Duplicate defined as being the same full pel vector with rounding. | 164 // We only compare vs the current top candidates. |
| 165 insert_point = (*index < (MAX_MV_REF_CANDIDATES - 1)) |
| 166 ? *index : (MAX_MV_REF_CANDIDATES - 1); |
| 167 |
| 168 i = insert_point; |
| 169 if (*index > i) |
| 170 i++; |
| 178 while (i > 0) { | 171 while (i > 0) { |
| 179 i--; | 172 i--; |
| 180 | |
| 181 if (candidate_mv.as_int == mv_list[i].as_int) { | 173 if (candidate_mv.as_int == mv_list[i].as_int) { |
| 182 duplicate_found = TRUE; | 174 duplicate_found = TRUE; |
| 183 mv_scores[i] += weight; | 175 mv_scores[i] += weight; |
| 184 break; | 176 break; |
| 185 } | 177 } |
| 186 } | 178 } |
| 187 | 179 |
| 188 // If no duplicate was found add the new vector and give it a weight | 180 // If no duplicate and the new candidate is good enough then add it. |
| 189 if (!duplicate_found) { | 181 if (!duplicate_found ) { |
| 190 mv_list[*index].as_int = candidate_mv.as_int; | 182 if (weight > mv_scores[insert_point]) { |
| 191 mv_scores[*index] = weight; | 183 mv_list[insert_point].as_int = candidate_mv.as_int; |
| 192 i = *index; | 184 mv_scores[insert_point] = weight; |
| 185 i = insert_point; |
| 186 } |
| 193 (*index)++; | 187 (*index)++; |
| 194 } | 188 } |
| 195 | 189 |
| 196 // Reshuffle the list so that highest scoring mvs at the top. | 190 // Reshuffle the list so that highest scoring mvs at the top. |
| 197 while (i > 0) { | 191 while (i > 0) { |
| 198 if (mv_scores[i] > mv_scores[i-1]) { | 192 if (mv_scores[i] > mv_scores[i-1]) { |
| 199 int tmp_score = mv_scores[i-1]; | 193 int tmp_score = mv_scores[i-1]; |
| 200 int_mv tmp_mv = mv_list[i-1]; | 194 int_mv tmp_mv = mv_list[i-1]; |
| 201 | 195 |
| 202 mv_scores[i-1] = mv_scores[i]; | 196 mv_scores[i-1] = mv_scores[i]; |
| (...skipping 14 matching lines...) Expand all Loading... |
| 217 MODE_INFO *here, | 211 MODE_INFO *here, |
| 218 MODE_INFO *lf_here, | 212 MODE_INFO *lf_here, |
| 219 MV_REFERENCE_FRAME ref_frame, | 213 MV_REFERENCE_FRAME ref_frame, |
| 220 int_mv *mv_ref_list, | 214 int_mv *mv_ref_list, |
| 221 int *ref_sign_bias | 215 int *ref_sign_bias |
| 222 ) { | 216 ) { |
| 223 | 217 |
| 224 int i; | 218 int i; |
| 225 MODE_INFO *candidate_mi; | 219 MODE_INFO *candidate_mi; |
| 226 MB_MODE_INFO * mbmi = &xd->mode_info_context->mbmi; | 220 MB_MODE_INFO * mbmi = &xd->mode_info_context->mbmi; |
| 227 int_mv candidate_mvs[MAX_MV_REFS]; | 221 int_mv candidate_mvs[MAX_MV_REF_CANDIDATES]; |
| 228 int_mv c_refmv; | 222 int_mv c_refmv; |
| 223 int_mv c2_refmv; |
| 229 MV_REFERENCE_FRAME c_ref_frame; | 224 MV_REFERENCE_FRAME c_ref_frame; |
| 230 int_mv c2_refmv; | |
| 231 MV_REFERENCE_FRAME c2_ref_frame; | 225 MV_REFERENCE_FRAME c2_ref_frame; |
| 232 int candidate_scores[MAX_MV_REFS]; | 226 int candidate_scores[MAX_MV_REF_CANDIDATES]; |
| 233 int index = 0; | 227 int index = 0; |
| 234 int split_count = 0; | 228 int split_count = 0; |
| 235 int ref_weight = 0; | |
| 236 int valid_mv_ref; | |
| 237 int (*mv_ref_search)[2]; | 229 int (*mv_ref_search)[2]; |
| 238 int *ref_distance_weight; | 230 int *ref_distance_weight; |
| 239 | 231 |
| 240 // Blank the reference vector lists and other local structures. | 232 // Blank the reference vector lists and other local structures. |
| 241 vpx_memset(mv_ref_list, 0, sizeof(int_mv) * MAX_MV_REFS); | 233 vpx_memset(mv_ref_list, 0, sizeof(int_mv) * MAX_MV_REF_CANDIDATES); |
| 242 vpx_memset(candidate_mvs, 0, sizeof(int_mv) * MAX_MV_REFS); | 234 vpx_memset(candidate_mvs, 0, sizeof(int_mv) * MAX_MV_REF_CANDIDATES); |
| 243 vpx_memset(candidate_scores, 0, sizeof(candidate_scores)); | 235 vpx_memset(candidate_scores, 0, sizeof(candidate_scores)); |
| 244 | 236 |
| 245 #if CONFIG_SUPERBLOCKS | 237 if (mbmi->sb_type) { |
| 246 if (mbmi->encoded_as_sb) { | |
| 247 mv_ref_search = sb_mv_ref_search; | 238 mv_ref_search = sb_mv_ref_search; |
| 248 ref_distance_weight = sb_ref_distance_weight; | 239 ref_distance_weight = sb_ref_distance_weight; |
| 249 } else { | 240 } else { |
| 250 mv_ref_search = mb_mv_ref_search; | 241 mv_ref_search = mb_mv_ref_search; |
| 251 ref_distance_weight = mb_ref_distance_weight; | 242 ref_distance_weight = mb_ref_distance_weight; |
| 252 } | 243 } |
| 253 #else | 244 |
| 254 mv_ref_search = mb_mv_ref_search; | 245 // We first scan for candidate vectors that match the current reference frame |
| 255 ref_distance_weight = mb_ref_distance_weight; | 246 // Look at nearest neigbours |
| 256 #endif | |
| 257 // Populate a list with candidate reference vectors from the | |
| 258 // spatial neighbours. | |
| 259 for (i = 0; i < 2; ++i) { | 247 for (i = 0; i < 2; ++i) { |
| 260 if (((mv_ref_search[i][0] << 7) >= xd->mb_to_left_edge) && | 248 if (((mv_ref_search[i][0] << 7) >= xd->mb_to_left_edge) && |
| 261 ((mv_ref_search[i][1] << 7) >= xd->mb_to_top_edge)) { | 249 ((mv_ref_search[i][1] << 7) >= xd->mb_to_top_edge)) { |
| 262 | 250 |
| 263 candidate_mi = here + mv_ref_search[i][0] + | 251 candidate_mi = here + mv_ref_search[i][0] + |
| 264 (mv_ref_search[i][1] * xd->mode_info_stride); | 252 (mv_ref_search[i][1] * xd->mode_info_stride); |
| 265 | 253 |
| 266 valid_mv_ref = get_candidate_mvref(candidate_mi, ref_frame, | 254 if (get_matching_candidate(candidate_mi, ref_frame, &c_refmv)) { |
| 267 &c_ref_frame, &c_refmv, | 255 clamp_mv(xd, &c_refmv); |
| 268 &c2_ref_frame, &c2_refmv); | 256 addmv_and_shuffle(candidate_mvs, candidate_scores, |
| 257 &index, c_refmv, ref_distance_weight[i] + 16); |
| 258 } |
| 259 split_count += (candidate_mi->mbmi.mode == SPLITMV); |
| 260 } |
| 261 } |
| 262 // Look in the last frame |
| 263 candidate_mi = lf_here; |
| 264 if (get_matching_candidate(candidate_mi, ref_frame, &c_refmv)) { |
| 265 clamp_mv(xd, &c_refmv); |
| 266 addmv_and_shuffle(candidate_mvs, candidate_scores, |
| 267 &index, c_refmv, 18); |
| 268 } |
| 269 // More distant neigbours |
| 270 for (i = 2; (i < MVREF_NEIGHBOURS) && |
| 271 (index < (MAX_MV_REF_CANDIDATES - 1)); ++i) { |
| 272 if (((mv_ref_search[i][0] << 7) >= xd->mb_to_left_edge) && |
| 273 ((mv_ref_search[i][1] << 7) >= xd->mb_to_top_edge)) { |
| 274 candidate_mi = here + mv_ref_search[i][0] + |
| 275 (mv_ref_search[i][1] * xd->mode_info_stride); |
| 269 | 276 |
| 270 // If there is a valid MV candidate then add it to the list | 277 if (get_matching_candidate(candidate_mi, ref_frame, &c_refmv)) { |
| 271 if (valid_mv_ref) { | 278 clamp_mv(xd, &c_refmv); |
| 272 scale_mv(xd, ref_frame, c_ref_frame, &c_refmv, ref_sign_bias ); | |
| 273 ref_weight = ref_distance_weight[i] + | |
| 274 ((c_ref_frame == ref_frame) << 4); | |
| 275 split_count += (candidate_mi->mbmi.mode == SPLITMV); | |
| 276 | |
| 277 addmv_and_shuffle(candidate_mvs, candidate_scores, | 279 addmv_and_shuffle(candidate_mvs, candidate_scores, |
| 278 &index, c_refmv, ref_weight); | 280 &index, c_refmv, ref_distance_weight[i] + 16); |
| 279 | |
| 280 // If there is a second valid mv then add it as well. | |
| 281 if (c2_ref_frame > INTRA_FRAME) { | |
| 282 scale_mv(xd, ref_frame, c2_ref_frame, &c2_refmv, ref_sign_bias ); | |
| 283 ref_weight = ref_distance_weight[i] + | |
| 284 ((c2_ref_frame == ref_frame) << 4); | |
| 285 | |
| 286 addmv_and_shuffle(candidate_mvs, candidate_scores, | |
| 287 &index, c2_refmv, ref_weight); | |
| 288 } | |
| 289 } | 281 } |
| 290 } | 282 } |
| 291 } | 283 } |
| 292 | 284 |
| 293 // Look at the corresponding vector in the last frame | 285 // If we have not found enough candidates consider ones where the |
| 294 candidate_mi = lf_here; | 286 // reference frame does not match. Break out when we have |
| 295 valid_mv_ref = get_candidate_mvref(candidate_mi, ref_frame, | 287 // MAX_MV_REF_CANDIDATES candidates. |
| 296 &c_ref_frame, &c_refmv, | 288 // Look first at spatial neighbours |
| 297 &c2_ref_frame, &c2_refmv); | 289 if (index < (MAX_MV_REF_CANDIDATES - 1)) { |
| 290 for (i = 0; i < MVREF_NEIGHBOURS; ++i) { |
| 291 if (((mv_ref_search[i][0] << 7) >= xd->mb_to_left_edge) && |
| 292 ((mv_ref_search[i][1] << 7) >= xd->mb_to_top_edge)) { |
| 298 | 293 |
| 299 // If there is a valid MV candidate then add it to the list | 294 candidate_mi = here + mv_ref_search[i][0] + |
| 300 if (valid_mv_ref) { | 295 (mv_ref_search[i][1] * xd->mode_info_stride); |
| 301 scale_mv(xd, ref_frame, c_ref_frame, &c_refmv, ref_sign_bias ); | |
| 302 ref_weight = 2 + ((c_ref_frame == ref_frame) << 4); | |
| 303 addmv_and_shuffle(candidate_mvs, candidate_scores, | |
| 304 &index, c_refmv, ref_weight); | |
| 305 | 296 |
| 306 // If there is a second valid mv then add it as well. | 297 get_non_matching_candidates(candidate_mi, ref_frame, |
| 307 if (c2_ref_frame > INTRA_FRAME) { | 298 &c_ref_frame, &c_refmv, |
| 308 scale_mv(xd, ref_frame, c2_ref_frame, &c2_refmv, ref_sign_bias ); | 299 &c2_ref_frame, &c2_refmv); |
| 309 ref_weight = ref_distance_weight[i] + | |
| 310 ((c2_ref_frame == ref_frame) << 4); | |
| 311 | 300 |
| 301 if (c_ref_frame != INTRA_FRAME) { |
| 302 scale_mv(xd, ref_frame, c_ref_frame, &c_refmv, ref_sign_bias); |
| 303 addmv_and_shuffle(candidate_mvs, candidate_scores, |
| 304 &index, c_refmv, ref_distance_weight[i]); |
| 305 } |
| 306 |
| 307 if (c2_ref_frame != INTRA_FRAME) { |
| 308 scale_mv(xd, ref_frame, c2_ref_frame, &c2_refmv, ref_sign_bias); |
| 309 addmv_and_shuffle(candidate_mvs, candidate_scores, |
| 310 &index, c2_refmv, ref_distance_weight[i]); |
| 311 } |
| 312 } |
| 313 |
| 314 if (index >= (MAX_MV_REF_CANDIDATES - 1)) { |
| 315 break; |
| 316 } |
| 317 } |
| 318 } |
| 319 // Look at the last frame |
| 320 if (index < (MAX_MV_REF_CANDIDATES - 1)) { |
| 321 candidate_mi = lf_here; |
| 322 get_non_matching_candidates(candidate_mi, ref_frame, |
| 323 &c_ref_frame, &c_refmv, |
| 324 &c2_ref_frame, &c2_refmv); |
| 325 |
| 326 if (c_ref_frame != INTRA_FRAME) { |
| 327 scale_mv(xd, ref_frame, c_ref_frame, &c_refmv, ref_sign_bias); |
| 312 addmv_and_shuffle(candidate_mvs, candidate_scores, | 328 addmv_and_shuffle(candidate_mvs, candidate_scores, |
| 313 &index, c2_refmv, ref_weight); | 329 &index, c_refmv, 2); |
| 330 } |
| 331 |
| 332 if (c2_ref_frame != INTRA_FRAME) { |
| 333 scale_mv(xd, ref_frame, c2_ref_frame, &c2_refmv, ref_sign_bias); |
| 334 addmv_and_shuffle(candidate_mvs, candidate_scores, |
| 335 &index, c2_refmv, 2); |
| 314 } | 336 } |
| 315 } | 337 } |
| 316 | 338 |
| 317 // Populate a list with candidate reference vectors from the | |
| 318 // spatial neighbours. | |
| 319 for (i = 2; (i < MVREF_NEIGHBOURS) && (index < (MAX_MV_REFS - 2)); ++i) { | |
| 320 if (((mv_ref_search[i][0] << 7) >= xd->mb_to_left_edge) && | |
| 321 ((mv_ref_search[i][1] << 7) >= xd->mb_to_top_edge)) { | |
| 322 | |
| 323 candidate_mi = here + mv_ref_search[i][0] + | |
| 324 (mv_ref_search[i][1] * xd->mode_info_stride); | |
| 325 | |
| 326 valid_mv_ref = get_candidate_mvref(candidate_mi, ref_frame, | |
| 327 &c_ref_frame, &c_refmv, | |
| 328 &c2_ref_frame, &c2_refmv); | |
| 329 | |
| 330 // If there is a valid MV candidate then add it to the list | |
| 331 if (valid_mv_ref) { | |
| 332 scale_mv(xd, ref_frame, c_ref_frame, &c_refmv, ref_sign_bias ); | |
| 333 ref_weight = ref_distance_weight[i] + | |
| 334 ((c_ref_frame == ref_frame) << 4); | |
| 335 | |
| 336 addmv_and_shuffle(candidate_mvs, candidate_scores, | |
| 337 &index, c_refmv, ref_weight); | |
| 338 | |
| 339 // If there is a second valid mv then add it as well. | |
| 340 if (c2_ref_frame > INTRA_FRAME) { | |
| 341 scale_mv(xd, ref_frame, c2_ref_frame, &c2_refmv, ref_sign_bias ); | |
| 342 ref_weight = ref_distance_weight[i] + | |
| 343 ((c2_ref_frame == ref_frame) << 4); | |
| 344 | |
| 345 addmv_and_shuffle(candidate_mvs, candidate_scores, | |
| 346 &index, c2_refmv, ref_weight); | |
| 347 } | |
| 348 } | |
| 349 } | |
| 350 } | |
| 351 | |
| 352 // Make sure we are able to add 0,0 | |
| 353 if (index > (MAX_MV_REFS - 1)) { | |
| 354 index = (MAX_MV_REFS - 1); | |
| 355 } | |
| 356 | |
| 357 // Define inter mode coding context. | 339 // Define inter mode coding context. |
| 358 // 0,0 was best | 340 // 0,0 was best |
| 359 if (candidate_mvs[0].as_int == 0) { | 341 if (candidate_mvs[0].as_int == 0) { |
| 360 // 0,0 is only candidate | 342 // 0,0 is only candidate |
| 361 if (index <= 1) { | 343 if (index <= 1) { |
| 362 mbmi->mb_mode_context[ref_frame] = 0; | 344 mbmi->mb_mode_context[ref_frame] = 0; |
| 363 // non zero candidates candidates available | 345 // non zero candidates candidates available |
| 364 } else if (split_count == 0) { | 346 } else if (split_count == 0) { |
| 365 mbmi->mb_mode_context[ref_frame] = 1; | 347 mbmi->mb_mode_context[ref_frame] = 1; |
| 366 } else { | 348 } else { |
| 367 mbmi->mb_mode_context[ref_frame] = 2; | 349 mbmi->mb_mode_context[ref_frame] = 2; |
| 368 } | 350 } |
| 369 // Non zero best, No Split MV cases | 351 // Non zero best, No Split MV cases |
| 370 } else if (split_count == 0) { | 352 } else if (split_count == 0) { |
| 371 if (candidate_scores[0] >= 32) { | 353 if (candidate_scores[0] >= 32) { |
| 372 mbmi->mb_mode_context[ref_frame] = 3; | 354 mbmi->mb_mode_context[ref_frame] = 3; |
| 373 } else { | 355 } else { |
| 374 mbmi->mb_mode_context[ref_frame] = 4; | 356 mbmi->mb_mode_context[ref_frame] = 4; |
| 375 } | 357 } |
| 376 // Non zero best, some split mv | 358 // Non zero best, some split mv |
| 377 } else { | 359 } else { |
| 378 if (candidate_scores[0] >= 32) { | 360 if (candidate_scores[0] >= 32) { |
| 379 mbmi->mb_mode_context[ref_frame] = 5; | 361 mbmi->mb_mode_context[ref_frame] = 5; |
| 380 } else { | 362 } else { |
| 381 mbmi->mb_mode_context[ref_frame] = 6; | 363 mbmi->mb_mode_context[ref_frame] = 6; |
| 382 } | 364 } |
| 383 } | 365 } |
| 384 | 366 |
| 385 // 0,0 is always a valid reference. | 367 // 0,0 is always a valid reference. |
| 386 for (i = 0; i < index; ++i) { | 368 for (i = 0; i < MAX_MV_REF_CANDIDATES; ++i) { |
| 387 if (candidate_mvs[i].as_int == 0) | 369 if (candidate_mvs[i].as_int == 0) |
| 388 break; | 370 break; |
| 389 } | 371 } |
| 390 if (i == index) { | 372 if (i == MAX_MV_REF_CANDIDATES) { |
| 391 c_refmv.as_int = 0; | 373 candidate_mvs[MAX_MV_REF_CANDIDATES-1].as_int = 0; |
| 392 addmv_and_shuffle(candidate_mvs, candidate_scores, | |
| 393 &index, c_refmv, candidate_scores[3]+1 ); | |
| 394 } | 374 } |
| 395 | 375 |
| 396 // Copy over the candidate list. | 376 // Copy over the candidate list. |
| 397 vpx_memcpy(mv_ref_list, candidate_mvs, sizeof(candidate_mvs)); | 377 vpx_memcpy(mv_ref_list, candidate_mvs, sizeof(candidate_mvs)); |
| 398 } | 378 } |
| OLD | NEW |