Thu, 15 Jan 2015 15:59:08 +0100
Implement a real Private Browsing Mode condition by changing the API/ABI;
This solves Tor bug #9701, complying with disk avoidance documented in
https://www.torproject.org/projects/torbrowser/design/#disk-avoidance.
1 /*
2 * Copyright (c) 2010 The WebM project authors. All Rights Reserved.
3 *
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
6 * tree. An additional intellectual property rights grant can be found
7 * in the file PATENTS. All contributing project authors may
8 * be found in the AUTHORS file in the root of the source tree.
9 */
11 #include <limits.h>
12 #include <math.h>
13 #include <stdio.h>
15 #include "./vpx_config.h"
17 #include "vpx_mem/vpx_mem.h"
19 #include "vp9/common/vp9_findnearmv.h"
20 #include "vp9/common/vp9_common.h"
22 #include "vp9/encoder/vp9_onyx_int.h"
23 #include "vp9/encoder/vp9_mcomp.h"
25 // #define NEW_DIAMOND_SEARCH
27 void vp9_clamp_mv_min_max(MACROBLOCK *x, MV *mv) {
28 const int col_min = (mv->col >> 3) - MAX_FULL_PEL_VAL + (mv->col & 7 ? 1 : 0);
29 const int row_min = (mv->row >> 3) - MAX_FULL_PEL_VAL + (mv->row & 7 ? 1 : 0);
30 const int col_max = (mv->col >> 3) + MAX_FULL_PEL_VAL;
31 const int row_max = (mv->row >> 3) + MAX_FULL_PEL_VAL;
33 // Get intersection of UMV window and valid MV window to reduce # of checks
34 // in diamond search.
35 if (x->mv_col_min < col_min)
36 x->mv_col_min = col_min;
37 if (x->mv_col_max > col_max)
38 x->mv_col_max = col_max;
39 if (x->mv_row_min < row_min)
40 x->mv_row_min = row_min;
41 if (x->mv_row_max > row_max)
42 x->mv_row_max = row_max;
43 }
45 int vp9_init_search_range(VP9_COMP *cpi, int size) {
46 int sr = 0;
48 // Minimum search size no matter what the passed in value.
49 size = MAX(16, size);
51 while ((size << sr) < MAX_FULL_PEL_VAL)
52 sr++;
54 if (sr)
55 sr--;
57 sr += cpi->sf.reduce_first_step_size;
58 sr = MIN(sr, (cpi->sf.max_step_search_steps - 2));
59 return sr;
60 }
62 static INLINE int mv_cost(const MV *mv,
63 const int *joint_cost, int *comp_cost[2]) {
64 return joint_cost[vp9_get_mv_joint(mv)] +
65 comp_cost[0][mv->row] + comp_cost[1][mv->col];
66 }
68 int vp9_mv_bit_cost(const MV *mv, const MV *ref,
69 const int *mvjcost, int *mvcost[2], int weight) {
70 const MV diff = { mv->row - ref->row,
71 mv->col - ref->col };
72 return ROUND_POWER_OF_TWO(mv_cost(&diff, mvjcost, mvcost) * weight, 7);
73 }
75 static int mv_err_cost(const MV *mv, const MV *ref,
76 const int *mvjcost, int *mvcost[2],
77 int error_per_bit) {
78 if (mvcost) {
79 const MV diff = { mv->row - ref->row,
80 mv->col - ref->col };
81 return ROUND_POWER_OF_TWO(mv_cost(&diff, mvjcost, mvcost) *
82 error_per_bit, 13);
83 }
84 return 0;
85 }
87 static int mvsad_err_cost(const MV *mv, const MV *ref,
88 const int *mvjsadcost, int *mvsadcost[2],
89 int error_per_bit) {
90 if (mvsadcost) {
91 const MV diff = { mv->row - ref->row,
92 mv->col - ref->col };
93 return ROUND_POWER_OF_TWO(mv_cost(&diff, mvjsadcost, mvsadcost) *
94 error_per_bit, 8);
95 }
96 return 0;
97 }
99 void vp9_init_dsmotion_compensation(MACROBLOCK *x, int stride) {
100 int len;
101 int search_site_count = 0;
103 // Generate offsets for 4 search sites per step.
104 x->ss[search_site_count].mv.col = 0;
105 x->ss[search_site_count].mv.row = 0;
106 x->ss[search_site_count].offset = 0;
107 search_site_count++;
109 for (len = MAX_FIRST_STEP; len > 0; len /= 2) {
110 // Compute offsets for search sites.
111 x->ss[search_site_count].mv.col = 0;
112 x->ss[search_site_count].mv.row = -len;
113 x->ss[search_site_count].offset = -len * stride;
114 search_site_count++;
116 // Compute offsets for search sites.
117 x->ss[search_site_count].mv.col = 0;
118 x->ss[search_site_count].mv.row = len;
119 x->ss[search_site_count].offset = len * stride;
120 search_site_count++;
122 // Compute offsets for search sites.
123 x->ss[search_site_count].mv.col = -len;
124 x->ss[search_site_count].mv.row = 0;
125 x->ss[search_site_count].offset = -len;
126 search_site_count++;
128 // Compute offsets for search sites.
129 x->ss[search_site_count].mv.col = len;
130 x->ss[search_site_count].mv.row = 0;
131 x->ss[search_site_count].offset = len;
132 search_site_count++;
133 }
135 x->ss_count = search_site_count;
136 x->searches_per_step = 4;
137 }
139 void vp9_init3smotion_compensation(MACROBLOCK *x, int stride) {
140 int len, ss_count = 1;
142 x->ss[0].mv.col = x->ss[0].mv.row = 0;
143 x->ss[0].offset = 0;
145 for (len = MAX_FIRST_STEP; len > 0; len /= 2) {
146 // Generate offsets for 8 search sites per step.
147 const MV ss_mvs[8] = {
148 {-len, 0 }, {len, 0 }, { 0, -len}, {0, len},
149 {-len, -len}, {-len, len}, {len, -len}, {len, len}
150 };
151 int i;
152 for (i = 0; i < 8; ++i) {
153 search_site *const ss = &x->ss[ss_count++];
154 ss->mv = ss_mvs[i];
155 ss->offset = ss->mv.row * stride + ss->mv.col;
156 }
157 }
159 x->ss_count = ss_count;
160 x->searches_per_step = 8;
161 }
163 /*
164 * To avoid the penalty for crossing cache-line read, preload the reference
165 * area in a small buffer, which is aligned to make sure there won't be crossing
166 * cache-line read while reading from this buffer. This reduced the cpu
167 * cycles spent on reading ref data in sub-pixel filter functions.
168 * TODO: Currently, since sub-pixel search range here is -3 ~ 3, copy 22 rows x
169 * 32 cols area that is enough for 16x16 macroblock. Later, for SPLITMV, we
170 * could reduce the area.
171 */
173 /* estimated cost of a motion vector (r,c) */
174 #define MVC(r, c) \
175 (mvcost ? \
176 ((mvjcost[((r) != rr) * 2 + ((c) != rc)] + \
177 mvcost[0][((r) - rr)] + mvcost[1][((c) - rc)]) * \
178 error_per_bit + 4096) >> 13 : 0)
181 #define SP(x) (((x) & 7) << 1) // convert motion vector component to offset
182 // for svf calc
184 #define IFMVCV(r, c, s, e) \
185 if (c >= minc && c <= maxc && r >= minr && r <= maxr) \
186 s \
187 else \
188 e;
190 /* pointer to predictor base of a motionvector */
191 #define PRE(r, c) (y + (((r) >> 3) * y_stride + ((c) >> 3) -(offset)))
193 /* returns subpixel variance error function */
194 #define DIST(r, c) \
195 vfp->svf(PRE(r, c), y_stride, SP(c), SP(r), z, src_stride, &sse)
197 /* checks if (r, c) has better score than previous best */
198 #define CHECK_BETTER(v, r, c) \
199 IFMVCV(r, c, { \
200 thismse = (DIST(r, c)); \
201 if ((v = MVC(r, c) + thismse) < besterr) { \
202 besterr = v; \
203 br = r; \
204 bc = c; \
205 *distortion = thismse; \
206 *sse1 = sse; \
207 } \
208 }, \
209 v = INT_MAX;)
211 #define FIRST_LEVEL_CHECKS \
212 { \
213 unsigned int left, right, up, down, diag; \
214 CHECK_BETTER(left, tr, tc - hstep); \
215 CHECK_BETTER(right, tr, tc + hstep); \
216 CHECK_BETTER(up, tr - hstep, tc); \
217 CHECK_BETTER(down, tr + hstep, tc); \
218 whichdir = (left < right ? 0 : 1) + \
219 (up < down ? 0 : 2); \
220 switch (whichdir) { \
221 case 0: \
222 CHECK_BETTER(diag, tr - hstep, tc - hstep); \
223 break; \
224 case 1: \
225 CHECK_BETTER(diag, tr - hstep, tc + hstep); \
226 break; \
227 case 2: \
228 CHECK_BETTER(diag, tr + hstep, tc - hstep); \
229 break; \
230 case 3: \
231 CHECK_BETTER(diag, tr + hstep, tc + hstep); \
232 break; \
233 } \
234 }
236 #define SECOND_LEVEL_CHECKS \
237 { \
238 int kr, kc; \
239 unsigned int second; \
240 if (tr != br && tc != bc) { \
241 kr = br - tr; \
242 kc = bc - tc; \
243 CHECK_BETTER(second, tr + kr, tc + 2 * kc); \
244 CHECK_BETTER(second, tr + 2 * kr, tc + kc); \
245 } else if (tr == br && tc != bc) { \
246 kc = bc - tc; \
247 CHECK_BETTER(second, tr + hstep, tc + 2 * kc); \
248 CHECK_BETTER(second, tr - hstep, tc + 2 * kc); \
249 switch (whichdir) { \
250 case 0: \
251 case 1: \
252 CHECK_BETTER(second, tr + hstep, tc + kc); \
253 break; \
254 case 2: \
255 case 3: \
256 CHECK_BETTER(second, tr - hstep, tc + kc); \
257 break; \
258 } \
259 } else if (tr != br && tc == bc) { \
260 kr = br - tr; \
261 CHECK_BETTER(second, tr + 2 * kr, tc + hstep); \
262 CHECK_BETTER(second, tr + 2 * kr, tc - hstep); \
263 switch (whichdir) { \
264 case 0: \
265 case 2: \
266 CHECK_BETTER(second, tr + kr, tc + hstep); \
267 break; \
268 case 1: \
269 case 3: \
270 CHECK_BETTER(second, tr + kr, tc - hstep); \
271 break; \
272 } \
273 } \
274 }
276 int vp9_find_best_sub_pixel_iterative(MACROBLOCK *x,
277 MV *bestmv, const MV *ref_mv,
278 int allow_hp,
279 int error_per_bit,
280 const vp9_variance_fn_ptr_t *vfp,
281 int forced_stop,
282 int iters_per_step,
283 int *mvjcost, int *mvcost[2],
284 int *distortion,
285 unsigned int *sse1) {
286 uint8_t *z = x->plane[0].src.buf;
287 int src_stride = x->plane[0].src.stride;
288 MACROBLOCKD *xd = &x->e_mbd;
290 unsigned int besterr = INT_MAX;
291 unsigned int sse;
292 unsigned int whichdir;
293 unsigned int halfiters = iters_per_step;
294 unsigned int quarteriters = iters_per_step;
295 unsigned int eighthiters = iters_per_step;
296 int thismse;
298 const int y_stride = xd->plane[0].pre[0].stride;
299 const int offset = bestmv->row * y_stride + bestmv->col;
300 uint8_t *y = xd->plane[0].pre[0].buf + offset;
302 int rr = ref_mv->row;
303 int rc = ref_mv->col;
304 int br = bestmv->row * 8;
305 int bc = bestmv->col * 8;
306 int hstep = 4;
307 const int minc = MAX(x->mv_col_min * 8, ref_mv->col - MV_MAX);
308 const int maxc = MIN(x->mv_col_max * 8, ref_mv->col + MV_MAX);
309 const int minr = MAX(x->mv_row_min * 8, ref_mv->row - MV_MAX);
310 const int maxr = MIN(x->mv_row_max * 8, ref_mv->row + MV_MAX);
312 int tr = br;
313 int tc = bc;
315 // central mv
316 bestmv->row <<= 3;
317 bestmv->col <<= 3;
319 // calculate central point error
320 besterr = vfp->vf(y, y_stride, z, src_stride, sse1);
321 *distortion = besterr;
322 besterr += mv_err_cost(bestmv, ref_mv, mvjcost, mvcost, error_per_bit);
324 // TODO(jbb): Each subsequent iteration checks at least one point in
325 // common with the last iteration could be 2 if diagonal is selected.
326 while (halfiters--) {
327 // 1/2 pel
328 FIRST_LEVEL_CHECKS;
329 // no reason to check the same one again.
330 if (tr == br && tc == bc)
331 break;
332 tr = br;
333 tc = bc;
334 }
336 // TODO(yaowu): Each subsequent iteration checks at least one point in common
337 // with the last iteration could be 2 if diagonal is selected.
339 // Note forced_stop: 0 - full, 1 - qtr only, 2 - half only
340 if (forced_stop != 2) {
341 hstep >>= 1;
342 while (quarteriters--) {
343 FIRST_LEVEL_CHECKS;
344 // no reason to check the same one again.
345 if (tr == br && tc == bc)
346 break;
347 tr = br;
348 tc = bc;
349 }
350 }
352 if (allow_hp && vp9_use_mv_hp(ref_mv) && forced_stop == 0) {
353 hstep >>= 1;
354 while (eighthiters--) {
355 FIRST_LEVEL_CHECKS;
356 // no reason to check the same one again.
357 if (tr == br && tc == bc)
358 break;
359 tr = br;
360 tc = bc;
361 }
362 }
364 bestmv->row = br;
365 bestmv->col = bc;
367 if ((abs(bestmv->col - ref_mv->col) > (MAX_FULL_PEL_VAL << 3)) ||
368 (abs(bestmv->row - ref_mv->row) > (MAX_FULL_PEL_VAL << 3)))
369 return INT_MAX;
371 return besterr;
372 }
374 int vp9_find_best_sub_pixel_tree(MACROBLOCK *x,
375 MV *bestmv, const MV *ref_mv,
376 int allow_hp,
377 int error_per_bit,
378 const vp9_variance_fn_ptr_t *vfp,
379 int forced_stop,
380 int iters_per_step,
381 int *mvjcost, int *mvcost[2],
382 int *distortion,
383 unsigned int *sse1) {
384 uint8_t *z = x->plane[0].src.buf;
385 const int src_stride = x->plane[0].src.stride;
386 MACROBLOCKD *xd = &x->e_mbd;
387 unsigned int besterr = INT_MAX;
388 unsigned int sse;
389 unsigned int whichdir;
390 int thismse;
391 unsigned int halfiters = iters_per_step;
392 unsigned int quarteriters = iters_per_step;
393 unsigned int eighthiters = iters_per_step;
395 const int y_stride = xd->plane[0].pre[0].stride;
396 const int offset = bestmv->row * y_stride + bestmv->col;
397 uint8_t *y = xd->plane[0].pre[0].buf + offset;
399 int rr = ref_mv->row;
400 int rc = ref_mv->col;
401 int br = bestmv->row * 8;
402 int bc = bestmv->col * 8;
403 int hstep = 4;
404 const int minc = MAX(x->mv_col_min * 8, ref_mv->col - MV_MAX);
405 const int maxc = MIN(x->mv_col_max * 8, ref_mv->col + MV_MAX);
406 const int minr = MAX(x->mv_row_min * 8, ref_mv->row - MV_MAX);
407 const int maxr = MIN(x->mv_row_max * 8, ref_mv->row + MV_MAX);
409 int tr = br;
410 int tc = bc;
412 // central mv
413 bestmv->row *= 8;
414 bestmv->col *= 8;
416 // calculate central point error
417 besterr = vfp->vf(y, y_stride, z, src_stride, sse1);
418 *distortion = besterr;
419 besterr += mv_err_cost(bestmv, ref_mv, mvjcost, mvcost, error_per_bit);
421 // 1/2 pel
422 FIRST_LEVEL_CHECKS;
423 if (halfiters > 1) {
424 SECOND_LEVEL_CHECKS;
425 }
426 tr = br;
427 tc = bc;
429 // Note forced_stop: 0 - full, 1 - qtr only, 2 - half only
430 if (forced_stop != 2) {
431 hstep >>= 1;
432 FIRST_LEVEL_CHECKS;
433 if (quarteriters > 1) {
434 SECOND_LEVEL_CHECKS;
435 }
436 tr = br;
437 tc = bc;
438 }
440 if (allow_hp && vp9_use_mv_hp(ref_mv) && forced_stop == 0) {
441 hstep >>= 1;
442 FIRST_LEVEL_CHECKS;
443 if (eighthiters > 1) {
444 SECOND_LEVEL_CHECKS;
445 }
446 tr = br;
447 tc = bc;
448 }
450 bestmv->row = br;
451 bestmv->col = bc;
453 if ((abs(bestmv->col - ref_mv->col) > (MAX_FULL_PEL_VAL << 3)) ||
454 (abs(bestmv->row - ref_mv->row) > (MAX_FULL_PEL_VAL << 3)))
455 return INT_MAX;
457 return besterr;
458 }
460 #undef DIST
461 /* returns subpixel variance error function */
462 #define DIST(r, c) \
463 vfp->svaf(PRE(r, c), y_stride, SP(c), SP(r), \
464 z, src_stride, &sse, second_pred)
466 int vp9_find_best_sub_pixel_comp_iterative(MACROBLOCK *x,
467 MV *bestmv, const MV *ref_mv,
468 int allow_hp,
469 int error_per_bit,
470 const vp9_variance_fn_ptr_t *vfp,
471 int forced_stop,
472 int iters_per_step,
473 int *mvjcost, int *mvcost[2],
474 int *distortion,
475 unsigned int *sse1,
476 const uint8_t *second_pred,
477 int w, int h) {
478 uint8_t *const z = x->plane[0].src.buf;
479 const int src_stride = x->plane[0].src.stride;
480 MACROBLOCKD *const xd = &x->e_mbd;
482 unsigned int besterr = INT_MAX;
483 unsigned int sse;
484 unsigned int whichdir;
485 unsigned int halfiters = iters_per_step;
486 unsigned int quarteriters = iters_per_step;
487 unsigned int eighthiters = iters_per_step;
488 int thismse;
490 DECLARE_ALIGNED_ARRAY(16, uint8_t, comp_pred, 64 * 64);
491 const int y_stride = xd->plane[0].pre[0].stride;
492 const int offset = bestmv->row * y_stride + bestmv->col;
493 uint8_t *const y = xd->plane[0].pre[0].buf + offset;
495 int rr = ref_mv->row;
496 int rc = ref_mv->col;
497 int br = bestmv->row * 8;
498 int bc = bestmv->col * 8;
499 int hstep = 4;
500 const int minc = MAX(x->mv_col_min * 8, ref_mv->col - MV_MAX);
501 const int maxc = MIN(x->mv_col_max * 8, ref_mv->col + MV_MAX);
502 const int minr = MAX(x->mv_row_min * 8, ref_mv->row - MV_MAX);
503 const int maxr = MIN(x->mv_row_max * 8, ref_mv->row + MV_MAX);
505 int tr = br;
506 int tc = bc;
508 // central mv
509 bestmv->row *= 8;
510 bestmv->col *= 8;
512 // calculate central point error
513 // TODO(yunqingwang): central pointer error was already calculated in full-
514 // pixel search, and can be passed in this function.
515 comp_avg_pred(comp_pred, second_pred, w, h, y, y_stride);
516 besterr = vfp->vf(comp_pred, w, z, src_stride, sse1);
517 *distortion = besterr;
518 besterr += mv_err_cost(bestmv, ref_mv, mvjcost, mvcost, error_per_bit);
520 // Each subsequent iteration checks at least one point in
521 // common with the last iteration could be 2 ( if diag selected)
522 while (halfiters--) {
523 // 1/2 pel
524 FIRST_LEVEL_CHECKS;
525 // no reason to check the same one again.
526 if (tr == br && tc == bc)
527 break;
528 tr = br;
529 tc = bc;
530 }
532 // Each subsequent iteration checks at least one point in common with
533 // the last iteration could be 2 ( if diag selected) 1/4 pel
535 // Note forced_stop: 0 - full, 1 - qtr only, 2 - half only
536 if (forced_stop != 2) {
537 hstep >>= 1;
538 while (quarteriters--) {
539 FIRST_LEVEL_CHECKS;
540 // no reason to check the same one again.
541 if (tr == br && tc == bc)
542 break;
543 tr = br;
544 tc = bc;
545 }
546 }
548 if (allow_hp && vp9_use_mv_hp(ref_mv) && forced_stop == 0) {
549 hstep >>= 1;
550 while (eighthiters--) {
551 FIRST_LEVEL_CHECKS;
552 // no reason to check the same one again.
553 if (tr == br && tc == bc)
554 break;
555 tr = br;
556 tc = bc;
557 }
558 }
559 bestmv->row = br;
560 bestmv->col = bc;
562 if ((abs(bestmv->col - ref_mv->col) > (MAX_FULL_PEL_VAL << 3)) ||
563 (abs(bestmv->row - ref_mv->row) > (MAX_FULL_PEL_VAL << 3)))
564 return INT_MAX;
566 return besterr;
567 }
569 int vp9_find_best_sub_pixel_comp_tree(MACROBLOCK *x,
570 MV *bestmv, const MV *ref_mv,
571 int allow_hp,
572 int error_per_bit,
573 const vp9_variance_fn_ptr_t *vfp,
574 int forced_stop,
575 int iters_per_step,
576 int *mvjcost, int *mvcost[2],
577 int *distortion,
578 unsigned int *sse1,
579 const uint8_t *second_pred,
580 int w, int h) {
581 uint8_t *z = x->plane[0].src.buf;
582 const int src_stride = x->plane[0].src.stride;
583 MACROBLOCKD *xd = &x->e_mbd;
584 unsigned int besterr = INT_MAX;
585 unsigned int sse;
586 unsigned int whichdir;
587 int thismse;
588 unsigned int halfiters = iters_per_step;
589 unsigned int quarteriters = iters_per_step;
590 unsigned int eighthiters = iters_per_step;
592 DECLARE_ALIGNED_ARRAY(16, uint8_t, comp_pred, 64 * 64);
593 const int y_stride = xd->plane[0].pre[0].stride;
594 const int offset = bestmv->row * y_stride + bestmv->col;
595 uint8_t *y = xd->plane[0].pre[0].buf + offset;
597 int rr = ref_mv->row;
598 int rc = ref_mv->col;
599 int br = bestmv->row * 8;
600 int bc = bestmv->col * 8;
601 int hstep = 4;
602 const int minc = MAX(x->mv_col_min * 8, ref_mv->col - MV_MAX);
603 const int maxc = MIN(x->mv_col_max * 8, ref_mv->col + MV_MAX);
604 const int minr = MAX(x->mv_row_min * 8, ref_mv->row - MV_MAX);
605 const int maxr = MIN(x->mv_row_max * 8, ref_mv->row + MV_MAX);
607 int tr = br;
608 int tc = bc;
610 // central mv
611 bestmv->row *= 8;
612 bestmv->col *= 8;
614 // calculate central point error
615 // TODO(yunqingwang): central pointer error was already calculated in full-
616 // pixel search, and can be passed in this function.
617 comp_avg_pred(comp_pred, second_pred, w, h, y, y_stride);
618 besterr = vfp->vf(comp_pred, w, z, src_stride, sse1);
619 *distortion = besterr;
620 besterr += mv_err_cost(bestmv, ref_mv, mvjcost, mvcost, error_per_bit);
622 // Each subsequent iteration checks at least one point in
623 // common with the last iteration could be 2 ( if diag selected)
624 // 1/2 pel
625 FIRST_LEVEL_CHECKS;
626 if (halfiters > 1) {
627 SECOND_LEVEL_CHECKS;
628 }
629 tr = br;
630 tc = bc;
632 // Each subsequent iteration checks at least one point in common with
633 // the last iteration could be 2 ( if diag selected) 1/4 pel
635 // Note forced_stop: 0 - full, 1 - qtr only, 2 - half only
636 if (forced_stop != 2) {
637 hstep >>= 1;
638 FIRST_LEVEL_CHECKS;
639 if (quarteriters > 1) {
640 SECOND_LEVEL_CHECKS;
641 }
642 tr = br;
643 tc = bc;
644 }
646 if (allow_hp && vp9_use_mv_hp(ref_mv) && forced_stop == 0) {
647 hstep >>= 1;
648 FIRST_LEVEL_CHECKS;
649 if (eighthiters > 1) {
650 SECOND_LEVEL_CHECKS;
651 }
652 tr = br;
653 tc = bc;
654 }
655 bestmv->row = br;
656 bestmv->col = bc;
658 if ((abs(bestmv->col - ref_mv->col) > (MAX_FULL_PEL_VAL << 3)) ||
659 (abs(bestmv->row - ref_mv->row) > (MAX_FULL_PEL_VAL << 3)))
660 return INT_MAX;
662 return besterr;
663 }
665 #undef MVC
666 #undef PRE
667 #undef DIST
668 #undef IFMVCV
669 #undef CHECK_BETTER
670 #undef SP
672 #define CHECK_BOUNDS(range) \
673 {\
674 all_in = 1;\
675 all_in &= ((br-range) >= x->mv_row_min);\
676 all_in &= ((br+range) <= x->mv_row_max);\
677 all_in &= ((bc-range) >= x->mv_col_min);\
678 all_in &= ((bc+range) <= x->mv_col_max);\
679 }
681 #define CHECK_POINT \
682 {\
683 if (this_mv.col < x->mv_col_min) continue;\
684 if (this_mv.col > x->mv_col_max) continue;\
685 if (this_mv.row < x->mv_row_min) continue;\
686 if (this_mv.row > x->mv_row_max) continue;\
687 }
689 #define CHECK_BETTER \
690 {\
691 if (thissad < bestsad)\
692 {\
693 if (use_mvcost) \
694 thissad += mvsad_err_cost(&this_mv, &fcenter_mv.as_mv, \
695 mvjsadcost, mvsadcost, \
696 sad_per_bit);\
697 if (thissad < bestsad)\
698 {\
699 bestsad = thissad;\
700 best_site = i;\
701 }\
702 }\
703 }
705 #define get_next_chkpts(list, i, n) \
706 list[0] = ((i) == 0 ? (n) - 1 : (i) - 1); \
707 list[1] = (i); \
708 list[2] = ((i) == (n) - 1 ? 0 : (i) + 1);
710 #define MAX_PATTERN_SCALES 11
711 #define MAX_PATTERN_CANDIDATES 8 // max number of canddiates per scale
712 #define PATTERN_CANDIDATES_REF 3 // number of refinement candidates
714 // Generic pattern search function that searches over multiple scales.
715 // Each scale can have a different number of candidates and shape of
716 // candidates as indicated in the num_candidates and candidates arrays
717 // passed into this function
718 static int vp9_pattern_search(MACROBLOCK *x,
719 MV *ref_mv,
720 int search_param,
721 int sad_per_bit,
722 int do_init_search,
723 int do_refine,
724 const vp9_variance_fn_ptr_t *vfp,
725 int use_mvcost,
726 const MV *center_mv, MV *best_mv,
727 const int num_candidates[MAX_PATTERN_SCALES],
728 const MV candidates[MAX_PATTERN_SCALES]
729 [MAX_PATTERN_CANDIDATES]) {
730 const MACROBLOCKD* const xd = &x->e_mbd;
731 static const int search_param_to_steps[MAX_MVSEARCH_STEPS] = {
732 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0,
733 };
734 int i, j, s, t;
735 uint8_t *what = x->plane[0].src.buf;
736 int what_stride = x->plane[0].src.stride;
737 int in_what_stride = xd->plane[0].pre[0].stride;
738 int br, bc;
739 MV this_mv;
740 int bestsad = INT_MAX;
741 int thissad;
742 uint8_t *base_offset;
743 uint8_t *this_offset;
744 int k = -1;
745 int all_in;
746 int best_site = -1;
747 int_mv fcenter_mv;
748 int best_init_s = search_param_to_steps[search_param];
749 int *mvjsadcost = x->nmvjointsadcost;
750 int *mvsadcost[2] = {x->nmvsadcost[0], x->nmvsadcost[1]};
752 fcenter_mv.as_mv.row = center_mv->row >> 3;
753 fcenter_mv.as_mv.col = center_mv->col >> 3;
755 // adjust ref_mv to make sure it is within MV range
756 clamp_mv(ref_mv, x->mv_col_min, x->mv_col_max, x->mv_row_min, x->mv_row_max);
757 br = ref_mv->row;
758 bc = ref_mv->col;
760 // Work out the start point for the search
761 base_offset = (uint8_t *)(xd->plane[0].pre[0].buf);
762 this_offset = base_offset + (br * in_what_stride) + bc;
763 this_mv.row = br;
764 this_mv.col = bc;
765 bestsad = vfp->sdf(what, what_stride, this_offset, in_what_stride, 0x7fffffff)
766 + mvsad_err_cost(&this_mv, &fcenter_mv.as_mv,
767 mvjsadcost, mvsadcost, sad_per_bit);
769 // Search all possible scales upto the search param around the center point
770 // pick the scale of the point that is best as the starting scale of
771 // further steps around it.
772 if (do_init_search) {
773 s = best_init_s;
774 best_init_s = -1;
775 for (t = 0; t <= s; ++t) {
776 best_site = -1;
777 CHECK_BOUNDS((1 << t))
778 if (all_in) {
779 for (i = 0; i < num_candidates[t]; i++) {
780 this_mv.row = br + candidates[t][i].row;
781 this_mv.col = bc + candidates[t][i].col;
782 this_offset = base_offset + (this_mv.row * in_what_stride) +
783 this_mv.col;
784 thissad = vfp->sdf(what, what_stride, this_offset, in_what_stride,
785 bestsad);
786 CHECK_BETTER
787 }
788 } else {
789 for (i = 0; i < num_candidates[t]; i++) {
790 this_mv.row = br + candidates[t][i].row;
791 this_mv.col = bc + candidates[t][i].col;
792 CHECK_POINT
793 this_offset = base_offset + (this_mv.row * in_what_stride) +
794 this_mv.col;
795 thissad = vfp->sdf(what, what_stride, this_offset, in_what_stride,
796 bestsad);
797 CHECK_BETTER
798 }
799 }
800 if (best_site == -1) {
801 continue;
802 } else {
803 best_init_s = t;
804 k = best_site;
805 }
806 }
807 if (best_init_s != -1) {
808 br += candidates[best_init_s][k].row;
809 bc += candidates[best_init_s][k].col;
810 }
811 }
813 // If the center point is still the best, just skip this and move to
814 // the refinement step.
815 if (best_init_s != -1) {
816 s = best_init_s;
817 best_site = -1;
818 do {
819 // No need to search all 6 points the 1st time if initial search was used
820 if (!do_init_search || s != best_init_s) {
821 CHECK_BOUNDS((1 << s))
822 if (all_in) {
823 for (i = 0; i < num_candidates[s]; i++) {
824 this_mv.row = br + candidates[s][i].row;
825 this_mv.col = bc + candidates[s][i].col;
826 this_offset = base_offset + (this_mv.row * in_what_stride) +
827 this_mv.col;
828 thissad = vfp->sdf(what, what_stride, this_offset, in_what_stride,
829 bestsad);
830 CHECK_BETTER
831 }
832 } else {
833 for (i = 0; i < num_candidates[s]; i++) {
834 this_mv.row = br + candidates[s][i].row;
835 this_mv.col = bc + candidates[s][i].col;
836 CHECK_POINT
837 this_offset = base_offset + (this_mv.row * in_what_stride) +
838 this_mv.col;
839 thissad = vfp->sdf(what, what_stride, this_offset, in_what_stride,
840 bestsad);
841 CHECK_BETTER
842 }
843 }
845 if (best_site == -1) {
846 continue;
847 } else {
848 br += candidates[s][best_site].row;
849 bc += candidates[s][best_site].col;
850 k = best_site;
851 }
852 }
854 do {
855 int next_chkpts_indices[PATTERN_CANDIDATES_REF];
856 best_site = -1;
857 CHECK_BOUNDS((1 << s))
859 get_next_chkpts(next_chkpts_indices, k, num_candidates[s]);
860 if (all_in) {
861 for (i = 0; i < PATTERN_CANDIDATES_REF; i++) {
862 this_mv.row = br + candidates[s][next_chkpts_indices[i]].row;
863 this_mv.col = bc + candidates[s][next_chkpts_indices[i]].col;
864 this_offset = base_offset + (this_mv.row * (in_what_stride)) +
865 this_mv.col;
866 thissad = vfp->sdf(what, what_stride, this_offset, in_what_stride,
867 bestsad);
868 CHECK_BETTER
869 }
870 } else {
871 for (i = 0; i < PATTERN_CANDIDATES_REF; i++) {
872 this_mv.row = br + candidates[s][next_chkpts_indices[i]].row;
873 this_mv.col = bc + candidates[s][next_chkpts_indices[i]].col;
874 CHECK_POINT
875 this_offset = base_offset + (this_mv.row * (in_what_stride)) +
876 this_mv.col;
877 thissad = vfp->sdf(what, what_stride, this_offset, in_what_stride,
878 bestsad);
879 CHECK_BETTER
880 }
881 }
883 if (best_site != -1) {
884 k = next_chkpts_indices[best_site];
885 br += candidates[s][k].row;
886 bc += candidates[s][k].col;
887 }
888 } while (best_site != -1);
889 } while (s--);
890 }
892 // Check 4 1-away neighbors if do_refine is true.
893 // For most well-designed schemes do_refine will not be necessary.
894 if (do_refine) {
895 static const MV neighbors[4] = {
896 {0, -1}, { -1, 0}, {1, 0}, {0, 1},
897 };
898 for (j = 0; j < 16; j++) {
899 best_site = -1;
900 CHECK_BOUNDS(1)
901 if (all_in) {
902 for (i = 0; i < 4; i++) {
903 this_mv.row = br + neighbors[i].row;
904 this_mv.col = bc + neighbors[i].col;
905 this_offset = base_offset + (this_mv.row * (in_what_stride)) +
906 this_mv.col;
907 thissad = vfp->sdf(what, what_stride, this_offset, in_what_stride,
908 bestsad);
909 CHECK_BETTER
910 }
911 } else {
912 for (i = 0; i < 4; i++) {
913 this_mv.row = br + neighbors[i].row;
914 this_mv.col = bc + neighbors[i].col;
915 CHECK_POINT
916 this_offset = base_offset + (this_mv.row * (in_what_stride)) +
917 this_mv.col;
918 thissad = vfp->sdf(what, what_stride, this_offset, in_what_stride,
919 bestsad);
920 CHECK_BETTER
921 }
922 }
924 if (best_site == -1) {
925 break;
926 } else {
927 br += neighbors[best_site].row;
928 bc += neighbors[best_site].col;
929 }
930 }
931 }
933 best_mv->row = br;
934 best_mv->col = bc;
936 this_offset = base_offset + (best_mv->row * in_what_stride) +
937 best_mv->col;
938 this_mv.row = best_mv->row * 8;
939 this_mv.col = best_mv->col * 8;
940 if (bestsad == INT_MAX)
941 return INT_MAX;
943 return vfp->vf(what, what_stride, this_offset, in_what_stride,
944 (unsigned int *)&bestsad) +
945 use_mvcost ? mv_err_cost(&this_mv, center_mv,
946 x->nmvjointcost, x->mvcost, x->errorperbit)
947 : 0;
948 }
951 int vp9_hex_search(MACROBLOCK *x,
952 MV *ref_mv,
953 int search_param,
954 int sad_per_bit,
955 int do_init_search,
956 const vp9_variance_fn_ptr_t *vfp,
957 int use_mvcost,
958 const MV *center_mv, MV *best_mv) {
959 // First scale has 8-closest points, the rest have 6 points in hex shape
960 // at increasing scales
961 static const int hex_num_candidates[MAX_PATTERN_SCALES] = {
962 8, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6
963 };
964 // Note that the largest candidate step at each scale is 2^scale
965 static const MV hex_candidates[MAX_PATTERN_SCALES][MAX_PATTERN_CANDIDATES] = {
966 {{-1, -1}, {0, -1}, {1, -1}, {1, 0}, {1, 1}, { 0, 1}, { -1, 1}, {-1, 0}},
967 {{-1, -2}, {1, -2}, {2, 0}, {1, 2}, { -1, 2}, { -2, 0}},
968 {{-2, -4}, {2, -4}, {4, 0}, {2, 4}, { -2, 4}, { -4, 0}},
969 {{-4, -8}, {4, -8}, {8, 0}, {4, 8}, { -4, 8}, { -8, 0}},
970 {{-8, -16}, {8, -16}, {16, 0}, {8, 16}, { -8, 16}, { -16, 0}},
971 {{-16, -32}, {16, -32}, {32, 0}, {16, 32}, { -16, 32}, { -32, 0}},
972 {{-32, -64}, {32, -64}, {64, 0}, {32, 64}, { -32, 64}, { -64, 0}},
973 {{-64, -128}, {64, -128}, {128, 0}, {64, 128}, { -64, 128}, { -128, 0}},
974 {{-128, -256}, {128, -256}, {256, 0}, {128, 256}, { -128, 256}, { -256, 0}},
975 {{-256, -512}, {256, -512}, {512, 0}, {256, 512}, { -256, 512}, { -512, 0}},
976 {{-512, -1024}, {512, -1024}, {1024, 0}, {512, 1024}, { -512, 1024},
977 { -1024, 0}},
978 };
979 return
980 vp9_pattern_search(x, ref_mv, search_param, sad_per_bit,
981 do_init_search, 0, vfp, use_mvcost,
982 center_mv, best_mv,
983 hex_num_candidates, hex_candidates);
984 }
986 int vp9_bigdia_search(MACROBLOCK *x,
987 MV *ref_mv,
988 int search_param,
989 int sad_per_bit,
990 int do_init_search,
991 const vp9_variance_fn_ptr_t *vfp,
992 int use_mvcost,
993 const MV *center_mv,
994 MV *best_mv) {
995 // First scale has 4-closest points, the rest have 8 points in diamond
996 // shape at increasing scales
997 static const int bigdia_num_candidates[MAX_PATTERN_SCALES] = {
998 4, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8,
999 };
1000 // Note that the largest candidate step at each scale is 2^scale
1001 static const MV bigdia_candidates[MAX_PATTERN_SCALES]
1002 [MAX_PATTERN_CANDIDATES] = {
1003 {{0, -1}, {1, 0}, { 0, 1}, {-1, 0}},
1004 {{-1, -1}, {0, -2}, {1, -1}, {2, 0}, {1, 1}, {0, 2}, {-1, 1}, {-2, 0}},
1005 {{-2, -2}, {0, -4}, {2, -2}, {4, 0}, {2, 2}, {0, 4}, {-2, 2}, {-4, 0}},
1006 {{-4, -4}, {0, -8}, {4, -4}, {8, 0}, {4, 4}, {0, 8}, {-4, 4}, {-8, 0}},
1007 {{-8, -8}, {0, -16}, {8, -8}, {16, 0}, {8, 8}, {0, 16}, {-8, 8}, {-16, 0}},
1008 {{-16, -16}, {0, -32}, {16, -16}, {32, 0}, {16, 16}, {0, 32},
1009 {-16, 16}, {-32, 0}},
1010 {{-32, -32}, {0, -64}, {32, -32}, {64, 0}, {32, 32}, {0, 64},
1011 {-32, 32}, {-64, 0}},
1012 {{-64, -64}, {0, -128}, {64, -64}, {128, 0}, {64, 64}, {0, 128},
1013 {-64, 64}, {-128, 0}},
1014 {{-128, -128}, {0, -256}, {128, -128}, {256, 0}, {128, 128}, {0, 256},
1015 {-128, 128}, {-256, 0}},
1016 {{-256, -256}, {0, -512}, {256, -256}, {512, 0}, {256, 256}, {0, 512},
1017 {-256, 256}, {-512, 0}},
1018 {{-512, -512}, {0, -1024}, {512, -512}, {1024, 0}, {512, 512}, {0, 1024},
1019 {-512, 512}, {-1024, 0}},
1020 };
1021 return vp9_pattern_search(x, ref_mv, search_param, sad_per_bit,
1022 do_init_search, 0, vfp, use_mvcost,
1023 center_mv, best_mv,
1024 bigdia_num_candidates, bigdia_candidates);
1025 }
1027 int vp9_square_search(MACROBLOCK *x,
1028 MV *ref_mv,
1029 int search_param,
1030 int sad_per_bit,
1031 int do_init_search,
1032 const vp9_variance_fn_ptr_t *vfp,
1033 int use_mvcost,
1034 const MV *center_mv,
1035 MV *best_mv) {
1036 // All scales have 8 closest points in square shape
1037 static const int square_num_candidates[MAX_PATTERN_SCALES] = {
1038 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8,
1039 };
1040 // Note that the largest candidate step at each scale is 2^scale
1041 static const MV square_candidates[MAX_PATTERN_SCALES]
1042 [MAX_PATTERN_CANDIDATES] = {
1043 {{-1, -1}, {0, -1}, {1, -1}, {1, 0}, {1, 1}, {0, 1}, {-1, 1}, {-1, 0}},
1044 {{-2, -2}, {0, -2}, {2, -2}, {2, 0}, {2, 2}, {0, 2}, {-2, 2}, {-2, 0}},
1045 {{-4, -4}, {0, -4}, {4, -4}, {4, 0}, {4, 4}, {0, 4}, {-4, 4}, {-4, 0}},
1046 {{-8, -8}, {0, -8}, {8, -8}, {8, 0}, {8, 8}, {0, 8}, {-8, 8}, {-8, 0}},
1047 {{-16, -16}, {0, -16}, {16, -16}, {16, 0}, {16, 16}, {0, 16},
1048 {-16, 16}, {-16, 0}},
1049 {{-32, -32}, {0, -32}, {32, -32}, {32, 0}, {32, 32}, {0, 32},
1050 {-32, 32}, {-32, 0}},
1051 {{-64, -64}, {0, -64}, {64, -64}, {64, 0}, {64, 64}, {0, 64},
1052 {-64, 64}, {-64, 0}},
1053 {{-128, -128}, {0, -128}, {128, -128}, {128, 0}, {128, 128}, {0, 128},
1054 {-128, 128}, {-128, 0}},
1055 {{-256, -256}, {0, -256}, {256, -256}, {256, 0}, {256, 256}, {0, 256},
1056 {-256, 256}, {-256, 0}},
1057 {{-512, -512}, {0, -512}, {512, -512}, {512, 0}, {512, 512}, {0, 512},
1058 {-512, 512}, {-512, 0}},
1059 {{-1024, -1024}, {0, -1024}, {1024, -1024}, {1024, 0}, {1024, 1024},
1060 {0, 1024}, {-1024, 1024}, {-1024, 0}},
1061 };
1062 return vp9_pattern_search(x, ref_mv, search_param, sad_per_bit,
1063 do_init_search, 0, vfp, use_mvcost,
1064 center_mv, best_mv,
1065 square_num_candidates, square_candidates);
1066 };
1068 #undef CHECK_BOUNDS
1069 #undef CHECK_POINT
1070 #undef CHECK_BETTER
1072 int vp9_diamond_search_sad_c(MACROBLOCK *x,
1073 int_mv *ref_mv, int_mv *best_mv,
1074 int search_param, int sad_per_bit, int *num00,
1075 vp9_variance_fn_ptr_t *fn_ptr, int *mvjcost,
1076 int *mvcost[2], int_mv *center_mv) {
1077 int i, j, step;
1079 const MACROBLOCKD* const xd = &x->e_mbd;
1080 uint8_t *what = x->plane[0].src.buf;
1081 int what_stride = x->plane[0].src.stride;
1082 uint8_t *in_what;
1083 int in_what_stride = xd->plane[0].pre[0].stride;
1084 uint8_t *best_address;
1086 int tot_steps;
1087 int_mv this_mv;
1089 int bestsad = INT_MAX;
1090 int best_site = 0;
1091 int last_site = 0;
1093 int ref_row, ref_col;
1094 int this_row_offset, this_col_offset;
1095 search_site *ss;
1097 uint8_t *check_here;
1098 int thissad;
1099 int_mv fcenter_mv;
1101 int *mvjsadcost = x->nmvjointsadcost;
1102 int *mvsadcost[2] = {x->nmvsadcost[0], x->nmvsadcost[1]};
1104 fcenter_mv.as_mv.row = center_mv->as_mv.row >> 3;
1105 fcenter_mv.as_mv.col = center_mv->as_mv.col >> 3;
1107 clamp_mv(&ref_mv->as_mv,
1108 x->mv_col_min, x->mv_col_max, x->mv_row_min, x->mv_row_max);
1109 ref_row = ref_mv->as_mv.row;
1110 ref_col = ref_mv->as_mv.col;
1111 *num00 = 0;
1112 best_mv->as_mv.row = ref_row;
1113 best_mv->as_mv.col = ref_col;
1115 // Work out the start point for the search
1116 in_what = (uint8_t *)(xd->plane[0].pre[0].buf +
1117 (ref_row * (xd->plane[0].pre[0].stride)) + ref_col);
1118 best_address = in_what;
1120 // Check the starting position
1121 bestsad = fn_ptr->sdf(what, what_stride, in_what, in_what_stride, 0x7fffffff)
1122 + mvsad_err_cost(&best_mv->as_mv, &fcenter_mv.as_mv,
1123 mvjsadcost, mvsadcost, sad_per_bit);
1125 // search_param determines the length of the initial step and hence the number
1126 // of iterations
1127 // 0 = initial step (MAX_FIRST_STEP) pel : 1 = (MAX_FIRST_STEP/2) pel, 2 =
1128 // (MAX_FIRST_STEP/4) pel... etc.
1129 ss = &x->ss[search_param * x->searches_per_step];
1130 tot_steps = (x->ss_count / x->searches_per_step) - search_param;
1132 i = 1;
1134 for (step = 0; step < tot_steps; step++) {
1135 for (j = 0; j < x->searches_per_step; j++) {
1136 // Trap illegal vectors
1137 this_row_offset = best_mv->as_mv.row + ss[i].mv.row;
1138 this_col_offset = best_mv->as_mv.col + ss[i].mv.col;
1140 if ((this_col_offset > x->mv_col_min) &&
1141 (this_col_offset < x->mv_col_max) &&
1142 (this_row_offset > x->mv_row_min) &&
1143 (this_row_offset < x->mv_row_max)) {
1144 check_here = ss[i].offset + best_address;
1145 thissad = fn_ptr->sdf(what, what_stride, check_here, in_what_stride,
1146 bestsad);
1148 if (thissad < bestsad) {
1149 this_mv.as_mv.row = this_row_offset;
1150 this_mv.as_mv.col = this_col_offset;
1151 thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv,
1152 mvjsadcost, mvsadcost, sad_per_bit);
1154 if (thissad < bestsad) {
1155 bestsad = thissad;
1156 best_site = i;
1157 }
1158 }
1159 }
1161 i++;
1162 }
1164 if (best_site != last_site) {
1165 best_mv->as_mv.row += ss[best_site].mv.row;
1166 best_mv->as_mv.col += ss[best_site].mv.col;
1167 best_address += ss[best_site].offset;
1168 last_site = best_site;
1169 #if defined(NEW_DIAMOND_SEARCH)
1170 while (1) {
1171 this_row_offset = best_mv->as_mv.row + ss[best_site].mv.row;
1172 this_col_offset = best_mv->as_mv.col + ss[best_site].mv.col;
1173 if ((this_col_offset > x->mv_col_min) &&
1174 (this_col_offset < x->mv_col_max) &&
1175 (this_row_offset > x->mv_row_min) &&
1176 (this_row_offset < x->mv_row_max)) {
1177 check_here = ss[best_site].offset + best_address;
1178 thissad = fn_ptr->sdf(what, what_stride, check_here, in_what_stride,
1179 bestsad);
1180 if (thissad < bestsad) {
1181 this_mv.as_mv.row = this_row_offset;
1182 this_mv.as_mv.col = this_col_offset;
1183 thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv,
1184 mvjsadcost, mvsadcost, sad_per_bit);
1185 if (thissad < bestsad) {
1186 bestsad = thissad;
1187 best_mv->as_mv.row += ss[best_site].mv.row;
1188 best_mv->as_mv.col += ss[best_site].mv.col;
1189 best_address += ss[best_site].offset;
1190 continue;
1191 }
1192 }
1193 }
1194 break;
1195 };
1196 #endif
1197 } else if (best_address == in_what) {
1198 (*num00)++;
1199 }
1200 }
1202 this_mv.as_mv.row = best_mv->as_mv.row * 8;
1203 this_mv.as_mv.col = best_mv->as_mv.col * 8;
1205 if (bestsad == INT_MAX)
1206 return INT_MAX;
1208 return fn_ptr->vf(what, what_stride, best_address, in_what_stride,
1209 (unsigned int *)(&thissad)) +
1210 mv_err_cost(&this_mv.as_mv, ¢er_mv->as_mv,
1211 mvjcost, mvcost, x->errorperbit);
1212 }
1214 int vp9_diamond_search_sadx4(MACROBLOCK *x,
1215 int_mv *ref_mv, int_mv *best_mv, int search_param,
1216 int sad_per_bit, int *num00,
1217 vp9_variance_fn_ptr_t *fn_ptr,
1218 int *mvjcost, int *mvcost[2], int_mv *center_mv) {
1219 int i, j, step;
1221 const MACROBLOCKD* const xd = &x->e_mbd;
1222 uint8_t *what = x->plane[0].src.buf;
1223 int what_stride = x->plane[0].src.stride;
1224 uint8_t *in_what;
1225 int in_what_stride = xd->plane[0].pre[0].stride;
1226 uint8_t *best_address;
1228 int tot_steps;
1229 int_mv this_mv;
1231 unsigned int bestsad = INT_MAX;
1232 int best_site = 0;
1233 int last_site = 0;
1235 int ref_row;
1236 int ref_col;
1237 int this_row_offset;
1238 int this_col_offset;
1239 search_site *ss;
1241 uint8_t *check_here;
1242 unsigned int thissad;
1243 int_mv fcenter_mv;
1245 int *mvjsadcost = x->nmvjointsadcost;
1246 int *mvsadcost[2] = {x->nmvsadcost[0], x->nmvsadcost[1]};
1248 fcenter_mv.as_mv.row = center_mv->as_mv.row >> 3;
1249 fcenter_mv.as_mv.col = center_mv->as_mv.col >> 3;
1251 clamp_mv(&ref_mv->as_mv,
1252 x->mv_col_min, x->mv_col_max, x->mv_row_min, x->mv_row_max);
1253 ref_row = ref_mv->as_mv.row;
1254 ref_col = ref_mv->as_mv.col;
1255 *num00 = 0;
1256 best_mv->as_mv.row = ref_row;
1257 best_mv->as_mv.col = ref_col;
1259 // Work out the start point for the search
1260 in_what = (uint8_t *)(xd->plane[0].pre[0].buf +
1261 (ref_row * (xd->plane[0].pre[0].stride)) + ref_col);
1262 best_address = in_what;
1264 // Check the starting position
1265 bestsad = fn_ptr->sdf(what, what_stride, in_what, in_what_stride, 0x7fffffff)
1266 + mvsad_err_cost(&best_mv->as_mv, &fcenter_mv.as_mv,
1267 mvjsadcost, mvsadcost, sad_per_bit);
1269 // search_param determines the length of the initial step and hence the number
1270 // of iterations.
1271 // 0 = initial step (MAX_FIRST_STEP) pel
1272 // 1 = (MAX_FIRST_STEP/2) pel,
1273 // 2 = (MAX_FIRST_STEP/4) pel...
1274 ss = &x->ss[search_param * x->searches_per_step];
1275 tot_steps = (x->ss_count / x->searches_per_step) - search_param;
1277 i = 1;
1279 for (step = 0; step < tot_steps; step++) {
1280 int all_in = 1, t;
1282 // All_in is true if every one of the points we are checking are within
1283 // the bounds of the image.
1284 all_in &= ((best_mv->as_mv.row + ss[i].mv.row) > x->mv_row_min);
1285 all_in &= ((best_mv->as_mv.row + ss[i + 1].mv.row) < x->mv_row_max);
1286 all_in &= ((best_mv->as_mv.col + ss[i + 2].mv.col) > x->mv_col_min);
1287 all_in &= ((best_mv->as_mv.col + ss[i + 3].mv.col) < x->mv_col_max);
1289 // If all the pixels are within the bounds we don't check whether the
1290 // search point is valid in this loop, otherwise we check each point
1291 // for validity..
1292 if (all_in) {
1293 unsigned int sad_array[4];
1295 for (j = 0; j < x->searches_per_step; j += 4) {
1296 unsigned char const *block_offset[4];
1298 for (t = 0; t < 4; t++)
1299 block_offset[t] = ss[i + t].offset + best_address;
1301 fn_ptr->sdx4df(what, what_stride, block_offset, in_what_stride,
1302 sad_array);
1304 for (t = 0; t < 4; t++, i++) {
1305 if (sad_array[t] < bestsad) {
1306 this_mv.as_mv.row = best_mv->as_mv.row + ss[i].mv.row;
1307 this_mv.as_mv.col = best_mv->as_mv.col + ss[i].mv.col;
1308 sad_array[t] += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv,
1309 mvjsadcost, mvsadcost, sad_per_bit);
1311 if (sad_array[t] < bestsad) {
1312 bestsad = sad_array[t];
1313 best_site = i;
1314 }
1315 }
1316 }
1317 }
1318 } else {
1319 for (j = 0; j < x->searches_per_step; j++) {
1320 // Trap illegal vectors
1321 this_row_offset = best_mv->as_mv.row + ss[i].mv.row;
1322 this_col_offset = best_mv->as_mv.col + ss[i].mv.col;
1324 if ((this_col_offset > x->mv_col_min) &&
1325 (this_col_offset < x->mv_col_max) &&
1326 (this_row_offset > x->mv_row_min) &&
1327 (this_row_offset < x->mv_row_max)) {
1328 check_here = ss[i].offset + best_address;
1329 thissad = fn_ptr->sdf(what, what_stride, check_here, in_what_stride,
1330 bestsad);
1332 if (thissad < bestsad) {
1333 this_mv.as_mv.row = this_row_offset;
1334 this_mv.as_mv.col = this_col_offset;
1335 thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv,
1336 mvjsadcost, mvsadcost, sad_per_bit);
1338 if (thissad < bestsad) {
1339 bestsad = thissad;
1340 best_site = i;
1341 }
1342 }
1343 }
1344 i++;
1345 }
1346 }
1347 if (best_site != last_site) {
1348 best_mv->as_mv.row += ss[best_site].mv.row;
1349 best_mv->as_mv.col += ss[best_site].mv.col;
1350 best_address += ss[best_site].offset;
1351 last_site = best_site;
1352 #if defined(NEW_DIAMOND_SEARCH)
1353 while (1) {
1354 this_row_offset = best_mv->as_mv.row + ss[best_site].mv.row;
1355 this_col_offset = best_mv->as_mv.col + ss[best_site].mv.col;
1356 if ((this_col_offset > x->mv_col_min) &&
1357 (this_col_offset < x->mv_col_max) &&
1358 (this_row_offset > x->mv_row_min) &&
1359 (this_row_offset < x->mv_row_max)) {
1360 check_here = ss[best_site].offset + best_address;
1361 thissad = fn_ptr->sdf(what, what_stride, check_here, in_what_stride,
1362 bestsad);
1363 if (thissad < bestsad) {
1364 this_mv.as_mv.row = this_row_offset;
1365 this_mv.as_mv.col = this_col_offset;
1366 thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv,
1367 mvjsadcost, mvsadcost, sad_per_bit);
1368 if (thissad < bestsad) {
1369 bestsad = thissad;
1370 best_mv->as_mv.row += ss[best_site].mv.row;
1371 best_mv->as_mv.col += ss[best_site].mv.col;
1372 best_address += ss[best_site].offset;
1373 continue;
1374 }
1375 }
1376 }
1377 break;
1378 };
1379 #endif
1380 } else if (best_address == in_what) {
1381 (*num00)++;
1382 }
1383 }
1385 this_mv.as_mv.row = best_mv->as_mv.row * 8;
1386 this_mv.as_mv.col = best_mv->as_mv.col * 8;
1388 if (bestsad == INT_MAX)
1389 return INT_MAX;
1391 return fn_ptr->vf(what, what_stride, best_address, in_what_stride,
1392 (unsigned int *)(&thissad)) +
1393 mv_err_cost(&this_mv.as_mv, ¢er_mv->as_mv,
1394 mvjcost, mvcost, x->errorperbit);
1395 }
1397 /* do_refine: If last step (1-away) of n-step search doesn't pick the center
1398 point as the best match, we will do a final 1-away diamond
1399 refining search */
1401 int vp9_full_pixel_diamond(VP9_COMP *cpi, MACROBLOCK *x,
1402 int_mv *mvp_full, int step_param,
1403 int sadpb, int further_steps,
1404 int do_refine, vp9_variance_fn_ptr_t *fn_ptr,
1405 int_mv *ref_mv, int_mv *dst_mv) {
1406 int_mv temp_mv;
1407 int thissme, n, num00;
1408 int bestsme = cpi->diamond_search_sad(x, mvp_full, &temp_mv,
1409 step_param, sadpb, &num00,
1410 fn_ptr, x->nmvjointcost,
1411 x->mvcost, ref_mv);
1412 dst_mv->as_int = temp_mv.as_int;
1414 n = num00;
1415 num00 = 0;
1417 /* If there won't be more n-step search, check to see if refining search is
1418 * needed. */
1419 if (n > further_steps)
1420 do_refine = 0;
1422 while (n < further_steps) {
1423 n++;
1425 if (num00) {
1426 num00--;
1427 } else {
1428 thissme = cpi->diamond_search_sad(x, mvp_full, &temp_mv,
1429 step_param + n, sadpb, &num00,
1430 fn_ptr, x->nmvjointcost, x->mvcost,
1431 ref_mv);
1433 /* check to see if refining search is needed. */
1434 if (num00 > (further_steps - n))
1435 do_refine = 0;
1437 if (thissme < bestsme) {
1438 bestsme = thissme;
1439 dst_mv->as_int = temp_mv.as_int;
1440 }
1441 }
1442 }
1444 /* final 1-away diamond refining search */
1445 if (do_refine == 1) {
1446 int search_range = 8;
1447 int_mv best_mv;
1448 best_mv.as_int = dst_mv->as_int;
1449 thissme = cpi->refining_search_sad(x, &best_mv, sadpb, search_range,
1450 fn_ptr, x->nmvjointcost, x->mvcost,
1451 ref_mv);
1453 if (thissme < bestsme) {
1454 bestsme = thissme;
1455 dst_mv->as_int = best_mv.as_int;
1456 }
1457 }
1458 return bestsme;
1459 }
1461 int vp9_full_search_sad_c(MACROBLOCK *x, int_mv *ref_mv,
1462 int sad_per_bit, int distance,
1463 vp9_variance_fn_ptr_t *fn_ptr, int *mvjcost,
1464 int *mvcost[2],
1465 int_mv *center_mv, int n) {
1466 const MACROBLOCKD* const xd = &x->e_mbd;
1467 uint8_t *what = x->plane[0].src.buf;
1468 int what_stride = x->plane[0].src.stride;
1469 uint8_t *in_what;
1470 int in_what_stride = xd->plane[0].pre[0].stride;
1471 int mv_stride = xd->plane[0].pre[0].stride;
1472 uint8_t *bestaddress;
1473 int_mv *best_mv = &x->e_mbd.mi_8x8[0]->bmi[n].as_mv[0];
1474 int_mv this_mv;
1475 int bestsad = INT_MAX;
1476 int r, c;
1478 uint8_t *check_here;
1479 int thissad;
1481 int ref_row = ref_mv->as_mv.row;
1482 int ref_col = ref_mv->as_mv.col;
1484 int row_min = ref_row - distance;
1485 int row_max = ref_row + distance;
1486 int col_min = ref_col - distance;
1487 int col_max = ref_col + distance;
1488 int_mv fcenter_mv;
1490 int *mvjsadcost = x->nmvjointsadcost;
1491 int *mvsadcost[2] = {x->nmvsadcost[0], x->nmvsadcost[1]};
1493 fcenter_mv.as_mv.row = center_mv->as_mv.row >> 3;
1494 fcenter_mv.as_mv.col = center_mv->as_mv.col >> 3;
1496 // Work out the mid point for the search
1497 in_what = xd->plane[0].pre[0].buf;
1498 bestaddress = in_what + (ref_row * xd->plane[0].pre[0].stride) + ref_col;
1500 best_mv->as_mv.row = ref_row;
1501 best_mv->as_mv.col = ref_col;
1503 // Baseline value at the centre
1504 bestsad = fn_ptr->sdf(what, what_stride, bestaddress,
1505 in_what_stride, 0x7fffffff)
1506 + mvsad_err_cost(&best_mv->as_mv, &fcenter_mv.as_mv,
1507 mvjsadcost, mvsadcost, sad_per_bit);
1509 // Apply further limits to prevent us looking using vectors that stretch
1510 // beyond the UMV border
1511 col_min = MAX(col_min, x->mv_col_min);
1512 col_max = MIN(col_max, x->mv_col_max);
1513 row_min = MAX(row_min, x->mv_row_min);
1514 row_max = MIN(row_max, x->mv_row_max);
1516 for (r = row_min; r < row_max; r++) {
1517 this_mv.as_mv.row = r;
1518 check_here = r * mv_stride + in_what + col_min;
1520 for (c = col_min; c < col_max; c++) {
1521 thissad = fn_ptr->sdf(what, what_stride, check_here, in_what_stride,
1522 bestsad);
1524 this_mv.as_mv.col = c;
1525 thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv,
1526 mvjsadcost, mvsadcost, sad_per_bit);
1528 if (thissad < bestsad) {
1529 bestsad = thissad;
1530 best_mv->as_mv.row = r;
1531 best_mv->as_mv.col = c;
1532 bestaddress = check_here;
1533 }
1535 check_here++;
1536 }
1537 }
1539 this_mv.as_mv.row = best_mv->as_mv.row * 8;
1540 this_mv.as_mv.col = best_mv->as_mv.col * 8;
1542 if (bestsad < INT_MAX)
1543 return fn_ptr->vf(what, what_stride, bestaddress, in_what_stride,
1544 (unsigned int *)(&thissad)) +
1545 mv_err_cost(&this_mv.as_mv, ¢er_mv->as_mv,
1546 mvjcost, mvcost, x->errorperbit);
1547 else
1548 return INT_MAX;
1549 }
1551 int vp9_full_search_sadx3(MACROBLOCK *x, int_mv *ref_mv,
1552 int sad_per_bit, int distance,
1553 vp9_variance_fn_ptr_t *fn_ptr, int *mvjcost,
1554 int *mvcost[2], int_mv *center_mv, int n) {
1555 const MACROBLOCKD* const xd = &x->e_mbd;
1556 uint8_t *what = x->plane[0].src.buf;
1557 int what_stride = x->plane[0].src.stride;
1558 uint8_t *in_what;
1559 int in_what_stride = xd->plane[0].pre[0].stride;
1560 int mv_stride = xd->plane[0].pre[0].stride;
1561 uint8_t *bestaddress;
1562 int_mv *best_mv = &x->e_mbd.mi_8x8[0]->bmi[n].as_mv[0];
1563 int_mv this_mv;
1564 unsigned int bestsad = INT_MAX;
1565 int r, c;
1567 uint8_t *check_here;
1568 unsigned int thissad;
1570 int ref_row = ref_mv->as_mv.row;
1571 int ref_col = ref_mv->as_mv.col;
1573 int row_min = ref_row - distance;
1574 int row_max = ref_row + distance;
1575 int col_min = ref_col - distance;
1576 int col_max = ref_col + distance;
1578 unsigned int sad_array[3];
1579 int_mv fcenter_mv;
1581 int *mvjsadcost = x->nmvjointsadcost;
1582 int *mvsadcost[2] = {x->nmvsadcost[0], x->nmvsadcost[1]};
1584 fcenter_mv.as_mv.row = center_mv->as_mv.row >> 3;
1585 fcenter_mv.as_mv.col = center_mv->as_mv.col >> 3;
1587 // Work out the mid point for the search
1588 in_what = xd->plane[0].pre[0].buf;
1589 bestaddress = in_what + (ref_row * xd->plane[0].pre[0].stride) + ref_col;
1591 best_mv->as_mv.row = ref_row;
1592 best_mv->as_mv.col = ref_col;
1594 // Baseline value at the centre
1595 bestsad = fn_ptr->sdf(what, what_stride,
1596 bestaddress, in_what_stride, 0x7fffffff)
1597 + mvsad_err_cost(&best_mv->as_mv, &fcenter_mv.as_mv,
1598 mvjsadcost, mvsadcost, sad_per_bit);
1600 // Apply further limits to prevent us looking using vectors that stretch
1601 // beyond the UMV border
1602 col_min = MAX(col_min, x->mv_col_min);
1603 col_max = MIN(col_max, x->mv_col_max);
1604 row_min = MAX(row_min, x->mv_row_min);
1605 row_max = MIN(row_max, x->mv_row_max);
1607 for (r = row_min; r < row_max; r++) {
1608 this_mv.as_mv.row = r;
1609 check_here = r * mv_stride + in_what + col_min;
1610 c = col_min;
1612 while ((c + 2) < col_max) {
1613 int i;
1615 fn_ptr->sdx3f(what, what_stride, check_here, in_what_stride, sad_array);
1617 for (i = 0; i < 3; i++) {
1618 thissad = sad_array[i];
1620 if (thissad < bestsad) {
1621 this_mv.as_mv.col = c;
1622 thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv,
1623 mvjsadcost, mvsadcost, sad_per_bit);
1625 if (thissad < bestsad) {
1626 bestsad = thissad;
1627 best_mv->as_mv.row = r;
1628 best_mv->as_mv.col = c;
1629 bestaddress = check_here;
1630 }
1631 }
1633 check_here++;
1634 c++;
1635 }
1636 }
1638 while (c < col_max) {
1639 thissad = fn_ptr->sdf(what, what_stride, check_here, in_what_stride,
1640 bestsad);
1642 if (thissad < bestsad) {
1643 this_mv.as_mv.col = c;
1644 thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv,
1645 mvjsadcost, mvsadcost, sad_per_bit);
1647 if (thissad < bestsad) {
1648 bestsad = thissad;
1649 best_mv->as_mv.row = r;
1650 best_mv->as_mv.col = c;
1651 bestaddress = check_here;
1652 }
1653 }
1655 check_here++;
1656 c++;
1657 }
1658 }
1660 this_mv.as_mv.row = best_mv->as_mv.row * 8;
1661 this_mv.as_mv.col = best_mv->as_mv.col * 8;
1663 if (bestsad < INT_MAX)
1664 return fn_ptr->vf(what, what_stride, bestaddress, in_what_stride,
1665 (unsigned int *)(&thissad)) +
1666 mv_err_cost(&this_mv.as_mv, ¢er_mv->as_mv,
1667 mvjcost, mvcost, x->errorperbit);
1668 else
1669 return INT_MAX;
1670 }
1672 int vp9_full_search_sadx8(MACROBLOCK *x, int_mv *ref_mv,
1673 int sad_per_bit, int distance,
1674 vp9_variance_fn_ptr_t *fn_ptr,
1675 int *mvjcost, int *mvcost[2],
1676 int_mv *center_mv, int n) {
1677 const MACROBLOCKD* const xd = &x->e_mbd;
1678 uint8_t *what = x->plane[0].src.buf;
1679 int what_stride = x->plane[0].src.stride;
1680 uint8_t *in_what;
1681 int in_what_stride = xd->plane[0].pre[0].stride;
1682 int mv_stride = xd->plane[0].pre[0].stride;
1683 uint8_t *bestaddress;
1684 int_mv *best_mv = &x->e_mbd.mi_8x8[0]->bmi[n].as_mv[0];
1685 int_mv this_mv;
1686 unsigned int bestsad = INT_MAX;
1687 int r, c;
1689 uint8_t *check_here;
1690 unsigned int thissad;
1692 int ref_row = ref_mv->as_mv.row;
1693 int ref_col = ref_mv->as_mv.col;
1695 int row_min = ref_row - distance;
1696 int row_max = ref_row + distance;
1697 int col_min = ref_col - distance;
1698 int col_max = ref_col + distance;
1700 DECLARE_ALIGNED_ARRAY(16, uint32_t, sad_array8, 8);
1701 unsigned int sad_array[3];
1702 int_mv fcenter_mv;
1704 int *mvjsadcost = x->nmvjointsadcost;
1705 int *mvsadcost[2] = {x->nmvsadcost[0], x->nmvsadcost[1]};
1707 fcenter_mv.as_mv.row = center_mv->as_mv.row >> 3;
1708 fcenter_mv.as_mv.col = center_mv->as_mv.col >> 3;
1710 // Work out the mid point for the search
1711 in_what = xd->plane[0].pre[0].buf;
1712 bestaddress = in_what + (ref_row * xd->plane[0].pre[0].stride) + ref_col;
1714 best_mv->as_mv.row = ref_row;
1715 best_mv->as_mv.col = ref_col;
1717 // Baseline value at the centre
1718 bestsad = fn_ptr->sdf(what, what_stride,
1719 bestaddress, in_what_stride, 0x7fffffff)
1720 + mvsad_err_cost(&best_mv->as_mv, &fcenter_mv.as_mv,
1721 mvjsadcost, mvsadcost, sad_per_bit);
1723 // Apply further limits to prevent us looking using vectors that stretch
1724 // beyond the UMV border
1725 col_min = MAX(col_min, x->mv_col_min);
1726 col_max = MIN(col_max, x->mv_col_max);
1727 row_min = MAX(row_min, x->mv_row_min);
1728 row_max = MIN(row_max, x->mv_row_max);
1730 for (r = row_min; r < row_max; r++) {
1731 this_mv.as_mv.row = r;
1732 check_here = r * mv_stride + in_what + col_min;
1733 c = col_min;
1735 while ((c + 7) < col_max) {
1736 int i;
1738 fn_ptr->sdx8f(what, what_stride, check_here, in_what_stride, sad_array8);
1740 for (i = 0; i < 8; i++) {
1741 thissad = (unsigned int)sad_array8[i];
1743 if (thissad < bestsad) {
1744 this_mv.as_mv.col = c;
1745 thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv,
1746 mvjsadcost, mvsadcost, sad_per_bit);
1748 if (thissad < bestsad) {
1749 bestsad = thissad;
1750 best_mv->as_mv.row = r;
1751 best_mv->as_mv.col = c;
1752 bestaddress = check_here;
1753 }
1754 }
1756 check_here++;
1757 c++;
1758 }
1759 }
1761 while ((c + 2) < col_max && fn_ptr->sdx3f != NULL) {
1762 int i;
1764 fn_ptr->sdx3f(what, what_stride, check_here, in_what_stride, sad_array);
1766 for (i = 0; i < 3; i++) {
1767 thissad = sad_array[i];
1769 if (thissad < bestsad) {
1770 this_mv.as_mv.col = c;
1771 thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv,
1772 mvjsadcost, mvsadcost, sad_per_bit);
1774 if (thissad < bestsad) {
1775 bestsad = thissad;
1776 best_mv->as_mv.row = r;
1777 best_mv->as_mv.col = c;
1778 bestaddress = check_here;
1779 }
1780 }
1782 check_here++;
1783 c++;
1784 }
1785 }
1787 while (c < col_max) {
1788 thissad = fn_ptr->sdf(what, what_stride, check_here, in_what_stride,
1789 bestsad);
1791 if (thissad < bestsad) {
1792 this_mv.as_mv.col = c;
1793 thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv,
1794 mvjsadcost, mvsadcost, sad_per_bit);
1796 if (thissad < bestsad) {
1797 bestsad = thissad;
1798 best_mv->as_mv.row = r;
1799 best_mv->as_mv.col = c;
1800 bestaddress = check_here;
1801 }
1802 }
1804 check_here++;
1805 c++;
1806 }
1807 }
1809 this_mv.as_mv.row = best_mv->as_mv.row * 8;
1810 this_mv.as_mv.col = best_mv->as_mv.col * 8;
1812 if (bestsad < INT_MAX)
1813 return fn_ptr->vf(what, what_stride, bestaddress, in_what_stride,
1814 (unsigned int *)(&thissad)) +
1815 mv_err_cost(&this_mv.as_mv, ¢er_mv->as_mv,
1816 mvjcost, mvcost, x->errorperbit);
1817 else
1818 return INT_MAX;
1819 }
1820 int vp9_refining_search_sad_c(MACROBLOCK *x,
1821 int_mv *ref_mv, int error_per_bit,
1822 int search_range, vp9_variance_fn_ptr_t *fn_ptr,
1823 int *mvjcost, int *mvcost[2], int_mv *center_mv) {
1824 const MACROBLOCKD* const xd = &x->e_mbd;
1825 MV neighbors[4] = {{ -1, 0}, {0, -1}, {0, 1}, {1, 0}};
1826 int i, j;
1827 int this_row_offset, this_col_offset;
1829 int what_stride = x->plane[0].src.stride;
1830 int in_what_stride = xd->plane[0].pre[0].stride;
1831 uint8_t *what = x->plane[0].src.buf;
1832 uint8_t *best_address = xd->plane[0].pre[0].buf +
1833 (ref_mv->as_mv.row * xd->plane[0].pre[0].stride) +
1834 ref_mv->as_mv.col;
1835 uint8_t *check_here;
1836 unsigned int thissad;
1837 int_mv this_mv;
1838 unsigned int bestsad = INT_MAX;
1839 int_mv fcenter_mv;
1841 int *mvjsadcost = x->nmvjointsadcost;
1842 int *mvsadcost[2] = {x->nmvsadcost[0], x->nmvsadcost[1]};
1844 fcenter_mv.as_mv.row = center_mv->as_mv.row >> 3;
1845 fcenter_mv.as_mv.col = center_mv->as_mv.col >> 3;
1847 bestsad = fn_ptr->sdf(what, what_stride, best_address,
1848 in_what_stride, 0x7fffffff) +
1849 mvsad_err_cost(&ref_mv->as_mv, &fcenter_mv.as_mv,
1850 mvjsadcost, mvsadcost, error_per_bit);
1852 for (i = 0; i < search_range; i++) {
1853 int best_site = -1;
1855 for (j = 0; j < 4; j++) {
1856 this_row_offset = ref_mv->as_mv.row + neighbors[j].row;
1857 this_col_offset = ref_mv->as_mv.col + neighbors[j].col;
1859 if ((this_col_offset > x->mv_col_min) &&
1860 (this_col_offset < x->mv_col_max) &&
1861 (this_row_offset > x->mv_row_min) &&
1862 (this_row_offset < x->mv_row_max)) {
1863 check_here = (neighbors[j].row) * in_what_stride + neighbors[j].col +
1864 best_address;
1865 thissad = fn_ptr->sdf(what, what_stride, check_here, in_what_stride,
1866 bestsad);
1868 if (thissad < bestsad) {
1869 this_mv.as_mv.row = this_row_offset;
1870 this_mv.as_mv.col = this_col_offset;
1871 thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv,
1872 mvjsadcost, mvsadcost, error_per_bit);
1874 if (thissad < bestsad) {
1875 bestsad = thissad;
1876 best_site = j;
1877 }
1878 }
1879 }
1880 }
1882 if (best_site == -1) {
1883 break;
1884 } else {
1885 ref_mv->as_mv.row += neighbors[best_site].row;
1886 ref_mv->as_mv.col += neighbors[best_site].col;
1887 best_address += (neighbors[best_site].row) * in_what_stride +
1888 neighbors[best_site].col;
1889 }
1890 }
1892 this_mv.as_mv.row = ref_mv->as_mv.row * 8;
1893 this_mv.as_mv.col = ref_mv->as_mv.col * 8;
1895 if (bestsad < INT_MAX)
1896 return fn_ptr->vf(what, what_stride, best_address, in_what_stride,
1897 (unsigned int *)(&thissad)) +
1898 mv_err_cost(&this_mv.as_mv, ¢er_mv->as_mv,
1899 mvjcost, mvcost, x->errorperbit);
1900 else
1901 return INT_MAX;
1902 }
1904 int vp9_refining_search_sadx4(MACROBLOCK *x,
1905 int_mv *ref_mv, int error_per_bit,
1906 int search_range, vp9_variance_fn_ptr_t *fn_ptr,
1907 int *mvjcost, int *mvcost[2], int_mv *center_mv) {
1908 const MACROBLOCKD* const xd = &x->e_mbd;
1909 MV neighbors[4] = {{ -1, 0}, {0, -1}, {0, 1}, {1, 0}};
1910 int i, j;
1911 int this_row_offset, this_col_offset;
1913 int what_stride = x->plane[0].src.stride;
1914 int in_what_stride = xd->plane[0].pre[0].stride;
1915 uint8_t *what = x->plane[0].src.buf;
1916 uint8_t *best_address = xd->plane[0].pre[0].buf +
1917 (ref_mv->as_mv.row * xd->plane[0].pre[0].stride) +
1918 ref_mv->as_mv.col;
1919 uint8_t *check_here;
1920 unsigned int thissad;
1921 int_mv this_mv;
1922 unsigned int bestsad = INT_MAX;
1923 int_mv fcenter_mv;
1925 int *mvjsadcost = x->nmvjointsadcost;
1926 int *mvsadcost[2] = {x->nmvsadcost[0], x->nmvsadcost[1]};
1928 fcenter_mv.as_mv.row = center_mv->as_mv.row >> 3;
1929 fcenter_mv.as_mv.col = center_mv->as_mv.col >> 3;
1931 bestsad = fn_ptr->sdf(what, what_stride, best_address,
1932 in_what_stride, 0x7fffffff) +
1933 mvsad_err_cost(&ref_mv->as_mv, &fcenter_mv.as_mv,
1934 mvjsadcost, mvsadcost, error_per_bit);
1936 for (i = 0; i < search_range; i++) {
1937 int best_site = -1;
1938 int all_in = ((ref_mv->as_mv.row - 1) > x->mv_row_min) &
1939 ((ref_mv->as_mv.row + 1) < x->mv_row_max) &
1940 ((ref_mv->as_mv.col - 1) > x->mv_col_min) &
1941 ((ref_mv->as_mv.col + 1) < x->mv_col_max);
1943 if (all_in) {
1944 unsigned int sad_array[4];
1945 unsigned char const *block_offset[4];
1946 block_offset[0] = best_address - in_what_stride;
1947 block_offset[1] = best_address - 1;
1948 block_offset[2] = best_address + 1;
1949 block_offset[3] = best_address + in_what_stride;
1951 fn_ptr->sdx4df(what, what_stride, block_offset, in_what_stride,
1952 sad_array);
1954 for (j = 0; j < 4; j++) {
1955 if (sad_array[j] < bestsad) {
1956 this_mv.as_mv.row = ref_mv->as_mv.row + neighbors[j].row;
1957 this_mv.as_mv.col = ref_mv->as_mv.col + neighbors[j].col;
1958 sad_array[j] += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv,
1959 mvjsadcost, mvsadcost, error_per_bit);
1961 if (sad_array[j] < bestsad) {
1962 bestsad = sad_array[j];
1963 best_site = j;
1964 }
1965 }
1966 }
1967 } else {
1968 for (j = 0; j < 4; j++) {
1969 this_row_offset = ref_mv->as_mv.row + neighbors[j].row;
1970 this_col_offset = ref_mv->as_mv.col + neighbors[j].col;
1972 if ((this_col_offset > x->mv_col_min) &&
1973 (this_col_offset < x->mv_col_max) &&
1974 (this_row_offset > x->mv_row_min) &&
1975 (this_row_offset < x->mv_row_max)) {
1976 check_here = (neighbors[j].row) * in_what_stride + neighbors[j].col +
1977 best_address;
1978 thissad = fn_ptr->sdf(what, what_stride, check_here, in_what_stride,
1979 bestsad);
1981 if (thissad < bestsad) {
1982 this_mv.as_mv.row = this_row_offset;
1983 this_mv.as_mv.col = this_col_offset;
1984 thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv,
1985 mvjsadcost, mvsadcost, error_per_bit);
1987 if (thissad < bestsad) {
1988 bestsad = thissad;
1989 best_site = j;
1990 }
1991 }
1992 }
1993 }
1994 }
1996 if (best_site == -1) {
1997 break;
1998 } else {
1999 ref_mv->as_mv.row += neighbors[best_site].row;
2000 ref_mv->as_mv.col += neighbors[best_site].col;
2001 best_address += (neighbors[best_site].row) * in_what_stride +
2002 neighbors[best_site].col;
2003 }
2004 }
2006 this_mv.as_mv.row = ref_mv->as_mv.row * 8;
2007 this_mv.as_mv.col = ref_mv->as_mv.col * 8;
2009 if (bestsad < INT_MAX)
2010 return fn_ptr->vf(what, what_stride, best_address, in_what_stride,
2011 (unsigned int *)(&thissad)) +
2012 mv_err_cost(&this_mv.as_mv, ¢er_mv->as_mv,
2013 mvjcost, mvcost, x->errorperbit);
2014 else
2015 return INT_MAX;
2016 }
2018 /* This function is called when we do joint motion search in comp_inter_inter
2019 * mode.
2020 */
2021 int vp9_refining_search_8p_c(MACROBLOCK *x,
2022 int_mv *ref_mv, int error_per_bit,
2023 int search_range, vp9_variance_fn_ptr_t *fn_ptr,
2024 int *mvjcost, int *mvcost[2], int_mv *center_mv,
2025 const uint8_t *second_pred, int w, int h) {
2026 const MACROBLOCKD* const xd = &x->e_mbd;
2027 MV neighbors[8] = {{-1, 0}, {0, -1}, {0, 1}, {1, 0},
2028 {-1, -1}, {1, -1}, {-1, 1}, {1, 1}};
2029 int i, j;
2030 int this_row_offset, this_col_offset;
2032 int what_stride = x->plane[0].src.stride;
2033 int in_what_stride = xd->plane[0].pre[0].stride;
2034 uint8_t *what = x->plane[0].src.buf;
2035 uint8_t *best_address = xd->plane[0].pre[0].buf +
2036 (ref_mv->as_mv.row * xd->plane[0].pre[0].stride) +
2037 ref_mv->as_mv.col;
2038 uint8_t *check_here;
2039 unsigned int thissad;
2040 int_mv this_mv;
2041 unsigned int bestsad = INT_MAX;
2042 int_mv fcenter_mv;
2044 int *mvjsadcost = x->nmvjointsadcost;
2045 int *mvsadcost[2] = {x->nmvsadcost[0], x->nmvsadcost[1]};
2047 fcenter_mv.as_mv.row = center_mv->as_mv.row >> 3;
2048 fcenter_mv.as_mv.col = center_mv->as_mv.col >> 3;
2050 /* Get compound pred by averaging two pred blocks. */
2051 bestsad = fn_ptr->sdaf(what, what_stride, best_address, in_what_stride,
2052 second_pred, 0x7fffffff) +
2053 mvsad_err_cost(&ref_mv->as_mv, &fcenter_mv.as_mv,
2054 mvjsadcost, mvsadcost, error_per_bit);
2056 for (i = 0; i < search_range; i++) {
2057 int best_site = -1;
2059 for (j = 0; j < 8; j++) {
2060 this_row_offset = ref_mv->as_mv.row + neighbors[j].row;
2061 this_col_offset = ref_mv->as_mv.col + neighbors[j].col;
2063 if ((this_col_offset > x->mv_col_min) &&
2064 (this_col_offset < x->mv_col_max) &&
2065 (this_row_offset > x->mv_row_min) &&
2066 (this_row_offset < x->mv_row_max)) {
2067 check_here = (neighbors[j].row) * in_what_stride + neighbors[j].col +
2068 best_address;
2070 /* Get compound block and use it to calculate SAD. */
2071 thissad = fn_ptr->sdaf(what, what_stride, check_here, in_what_stride,
2072 second_pred, bestsad);
2074 if (thissad < bestsad) {
2075 this_mv.as_mv.row = this_row_offset;
2076 this_mv.as_mv.col = this_col_offset;
2077 thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv,
2078 mvjsadcost, mvsadcost, error_per_bit);
2079 if (thissad < bestsad) {
2080 bestsad = thissad;
2081 best_site = j;
2082 }
2083 }
2084 }
2085 }
2087 if (best_site == -1) {
2088 break;
2089 } else {
2090 ref_mv->as_mv.row += neighbors[best_site].row;
2091 ref_mv->as_mv.col += neighbors[best_site].col;
2092 best_address += (neighbors[best_site].row) * in_what_stride +
2093 neighbors[best_site].col;
2094 }
2095 }
2097 this_mv.as_mv.row = ref_mv->as_mv.row * 8;
2098 this_mv.as_mv.col = ref_mv->as_mv.col * 8;
2100 if (bestsad < INT_MAX) {
2101 // FIXME(rbultje, yunqing): add full-pixel averaging variance functions
2102 // so we don't have to use the subpixel with xoff=0,yoff=0 here.
2103 return fn_ptr->svaf(best_address, in_what_stride, 0, 0, what, what_stride,
2104 (unsigned int *)(&thissad), second_pred) +
2105 mv_err_cost(&this_mv.as_mv, ¢er_mv->as_mv,
2106 mvjcost, mvcost, x->errorperbit);
2107 } else {
2108 return INT_MAX;
2109 }
2110 }