/* * Copyright (c) 2010 The WebM project authors. All Rights Reserved. * * Use of this source code is governed by a BSD-style license * that can be found in the LICENSE file in the root of the source * tree. An additional intellectual property rights grant can be found * in the file PATENTS. All contributing project authors may * be found in the AUTHORS file in the root of the source tree. */ #include #include #include #include "./vpx_config.h" #include "vpx_mem/vpx_mem.h" #include "vp9/common/vp9_findnearmv.h" #include "vp9/common/vp9_common.h" #include "vp9/encoder/vp9_onyx_int.h" #include "vp9/encoder/vp9_mcomp.h" // #define NEW_DIAMOND_SEARCH void vp9_clamp_mv_min_max(MACROBLOCK *x, MV *mv) { const int col_min = (mv->col >> 3) - MAX_FULL_PEL_VAL + (mv->col & 7 ? 1 : 0); const int row_min = (mv->row >> 3) - MAX_FULL_PEL_VAL + (mv->row & 7 ? 1 : 0); const int col_max = (mv->col >> 3) + MAX_FULL_PEL_VAL; const int row_max = (mv->row >> 3) + MAX_FULL_PEL_VAL; // Get intersection of UMV window and valid MV window to reduce # of checks // in diamond search. if (x->mv_col_min < col_min) x->mv_col_min = col_min; if (x->mv_col_max > col_max) x->mv_col_max = col_max; if (x->mv_row_min < row_min) x->mv_row_min = row_min; if (x->mv_row_max > row_max) x->mv_row_max = row_max; } int vp9_init_search_range(VP9_COMP *cpi, int size) { int sr = 0; // Minimum search size no matter what the passed in value. size = MAX(16, size); while ((size << sr) < MAX_FULL_PEL_VAL) sr++; if (sr) sr--; sr += cpi->sf.reduce_first_step_size; sr = MIN(sr, (cpi->sf.max_step_search_steps - 2)); return sr; } static INLINE int mv_cost(const MV *mv, const int *joint_cost, int *comp_cost[2]) { return joint_cost[vp9_get_mv_joint(mv)] + comp_cost[0][mv->row] + comp_cost[1][mv->col]; } int vp9_mv_bit_cost(const MV *mv, const MV *ref, const int *mvjcost, int *mvcost[2], int weight) { const MV diff = { mv->row - ref->row, mv->col - ref->col }; return ROUND_POWER_OF_TWO(mv_cost(&diff, mvjcost, mvcost) * weight, 7); } static int mv_err_cost(const MV *mv, const MV *ref, const int *mvjcost, int *mvcost[2], int error_per_bit) { if (mvcost) { const MV diff = { mv->row - ref->row, mv->col - ref->col }; return ROUND_POWER_OF_TWO(mv_cost(&diff, mvjcost, mvcost) * error_per_bit, 13); } return 0; } static int mvsad_err_cost(const MV *mv, const MV *ref, const int *mvjsadcost, int *mvsadcost[2], int error_per_bit) { if (mvsadcost) { const MV diff = { mv->row - ref->row, mv->col - ref->col }; return ROUND_POWER_OF_TWO(mv_cost(&diff, mvjsadcost, mvsadcost) * error_per_bit, 8); } return 0; } void vp9_init_dsmotion_compensation(MACROBLOCK *x, int stride) { int len; int search_site_count = 0; // Generate offsets for 4 search sites per step. x->ss[search_site_count].mv.col = 0; x->ss[search_site_count].mv.row = 0; x->ss[search_site_count].offset = 0; search_site_count++; for (len = MAX_FIRST_STEP; len > 0; len /= 2) { // Compute offsets for search sites. x->ss[search_site_count].mv.col = 0; x->ss[search_site_count].mv.row = -len; x->ss[search_site_count].offset = -len * stride; search_site_count++; // Compute offsets for search sites. x->ss[search_site_count].mv.col = 0; x->ss[search_site_count].mv.row = len; x->ss[search_site_count].offset = len * stride; search_site_count++; // Compute offsets for search sites. x->ss[search_site_count].mv.col = -len; x->ss[search_site_count].mv.row = 0; x->ss[search_site_count].offset = -len; search_site_count++; // Compute offsets for search sites. x->ss[search_site_count].mv.col = len; x->ss[search_site_count].mv.row = 0; x->ss[search_site_count].offset = len; search_site_count++; } x->ss_count = search_site_count; x->searches_per_step = 4; } void vp9_init3smotion_compensation(MACROBLOCK *x, int stride) { int len, ss_count = 1; x->ss[0].mv.col = x->ss[0].mv.row = 0; x->ss[0].offset = 0; for (len = MAX_FIRST_STEP; len > 0; len /= 2) { // Generate offsets for 8 search sites per step. const MV ss_mvs[8] = { {-len, 0 }, {len, 0 }, { 0, -len}, {0, len}, {-len, -len}, {-len, len}, {len, -len}, {len, len} }; int i; for (i = 0; i < 8; ++i) { search_site *const ss = &x->ss[ss_count++]; ss->mv = ss_mvs[i]; ss->offset = ss->mv.row * stride + ss->mv.col; } } x->ss_count = ss_count; x->searches_per_step = 8; } /* * To avoid the penalty for crossing cache-line read, preload the reference * area in a small buffer, which is aligned to make sure there won't be crossing * cache-line read while reading from this buffer. This reduced the cpu * cycles spent on reading ref data in sub-pixel filter functions. * TODO: Currently, since sub-pixel search range here is -3 ~ 3, copy 22 rows x * 32 cols area that is enough for 16x16 macroblock. Later, for SPLITMV, we * could reduce the area. */ /* estimated cost of a motion vector (r,c) */ #define MVC(r, c) \ (mvcost ? \ ((mvjcost[((r) != rr) * 2 + ((c) != rc)] + \ mvcost[0][((r) - rr)] + mvcost[1][((c) - rc)]) * \ error_per_bit + 4096) >> 13 : 0) #define SP(x) (((x) & 7) << 1) // convert motion vector component to offset // for svf calc #define IFMVCV(r, c, s, e) \ if (c >= minc && c <= maxc && r >= minr && r <= maxr) \ s \ else \ e; /* pointer to predictor base of a motionvector */ #define PRE(r, c) (y + (((r) >> 3) * y_stride + ((c) >> 3) -(offset))) /* returns subpixel variance error function */ #define DIST(r, c) \ vfp->svf(PRE(r, c), y_stride, SP(c), SP(r), z, src_stride, &sse) /* checks if (r, c) has better score than previous best */ #define CHECK_BETTER(v, r, c) \ IFMVCV(r, c, { \ thismse = (DIST(r, c)); \ if ((v = MVC(r, c) + thismse) < besterr) { \ besterr = v; \ br = r; \ bc = c; \ *distortion = thismse; \ *sse1 = sse; \ } \ }, \ v = INT_MAX;) #define FIRST_LEVEL_CHECKS \ { \ unsigned int left, right, up, down, diag; \ CHECK_BETTER(left, tr, tc - hstep); \ CHECK_BETTER(right, tr, tc + hstep); \ CHECK_BETTER(up, tr - hstep, tc); \ CHECK_BETTER(down, tr + hstep, tc); \ whichdir = (left < right ? 0 : 1) + \ (up < down ? 0 : 2); \ switch (whichdir) { \ case 0: \ CHECK_BETTER(diag, tr - hstep, tc - hstep); \ break; \ case 1: \ CHECK_BETTER(diag, tr - hstep, tc + hstep); \ break; \ case 2: \ CHECK_BETTER(diag, tr + hstep, tc - hstep); \ break; \ case 3: \ CHECK_BETTER(diag, tr + hstep, tc + hstep); \ break; \ } \ } #define SECOND_LEVEL_CHECKS \ { \ int kr, kc; \ unsigned int second; \ if (tr != br && tc != bc) { \ kr = br - tr; \ kc = bc - tc; \ CHECK_BETTER(second, tr + kr, tc + 2 * kc); \ CHECK_BETTER(second, tr + 2 * kr, tc + kc); \ } else if (tr == br && tc != bc) { \ kc = bc - tc; \ CHECK_BETTER(second, tr + hstep, tc + 2 * kc); \ CHECK_BETTER(second, tr - hstep, tc + 2 * kc); \ switch (whichdir) { \ case 0: \ case 1: \ CHECK_BETTER(second, tr + hstep, tc + kc); \ break; \ case 2: \ case 3: \ CHECK_BETTER(second, tr - hstep, tc + kc); \ break; \ } \ } else if (tr != br && tc == bc) { \ kr = br - tr; \ CHECK_BETTER(second, tr + 2 * kr, tc + hstep); \ CHECK_BETTER(second, tr + 2 * kr, tc - hstep); \ switch (whichdir) { \ case 0: \ case 2: \ CHECK_BETTER(second, tr + kr, tc + hstep); \ break; \ case 1: \ case 3: \ CHECK_BETTER(second, tr + kr, tc - hstep); \ break; \ } \ } \ } int vp9_find_best_sub_pixel_iterative(MACROBLOCK *x, MV *bestmv, const MV *ref_mv, int allow_hp, int error_per_bit, const vp9_variance_fn_ptr_t *vfp, int forced_stop, int iters_per_step, int *mvjcost, int *mvcost[2], int *distortion, unsigned int *sse1) { uint8_t *z = x->plane[0].src.buf; int src_stride = x->plane[0].src.stride; MACROBLOCKD *xd = &x->e_mbd; unsigned int besterr = INT_MAX; unsigned int sse; unsigned int whichdir; unsigned int halfiters = iters_per_step; unsigned int quarteriters = iters_per_step; unsigned int eighthiters = iters_per_step; int thismse; const int y_stride = xd->plane[0].pre[0].stride; const int offset = bestmv->row * y_stride + bestmv->col; uint8_t *y = xd->plane[0].pre[0].buf + offset; int rr = ref_mv->row; int rc = ref_mv->col; int br = bestmv->row * 8; int bc = bestmv->col * 8; int hstep = 4; const int minc = MAX(x->mv_col_min * 8, ref_mv->col - MV_MAX); const int maxc = MIN(x->mv_col_max * 8, ref_mv->col + MV_MAX); const int minr = MAX(x->mv_row_min * 8, ref_mv->row - MV_MAX); const int maxr = MIN(x->mv_row_max * 8, ref_mv->row + MV_MAX); int tr = br; int tc = bc; // central mv bestmv->row <<= 3; bestmv->col <<= 3; // calculate central point error besterr = vfp->vf(y, y_stride, z, src_stride, sse1); *distortion = besterr; besterr += mv_err_cost(bestmv, ref_mv, mvjcost, mvcost, error_per_bit); // TODO(jbb): Each subsequent iteration checks at least one point in // common with the last iteration could be 2 if diagonal is selected. while (halfiters--) { // 1/2 pel FIRST_LEVEL_CHECKS; // no reason to check the same one again. if (tr == br && tc == bc) break; tr = br; tc = bc; } // TODO(yaowu): Each subsequent iteration checks at least one point in common // with the last iteration could be 2 if diagonal is selected. // Note forced_stop: 0 - full, 1 - qtr only, 2 - half only if (forced_stop != 2) { hstep >>= 1; while (quarteriters--) { FIRST_LEVEL_CHECKS; // no reason to check the same one again. if (tr == br && tc == bc) break; tr = br; tc = bc; } } if (allow_hp && vp9_use_mv_hp(ref_mv) && forced_stop == 0) { hstep >>= 1; while (eighthiters--) { FIRST_LEVEL_CHECKS; // no reason to check the same one again. if (tr == br && tc == bc) break; tr = br; tc = bc; } } bestmv->row = br; bestmv->col = bc; if ((abs(bestmv->col - ref_mv->col) > (MAX_FULL_PEL_VAL << 3)) || (abs(bestmv->row - ref_mv->row) > (MAX_FULL_PEL_VAL << 3))) return INT_MAX; return besterr; } int vp9_find_best_sub_pixel_tree(MACROBLOCK *x, MV *bestmv, const MV *ref_mv, int allow_hp, int error_per_bit, const vp9_variance_fn_ptr_t *vfp, int forced_stop, int iters_per_step, int *mvjcost, int *mvcost[2], int *distortion, unsigned int *sse1) { uint8_t *z = x->plane[0].src.buf; const int src_stride = x->plane[0].src.stride; MACROBLOCKD *xd = &x->e_mbd; unsigned int besterr = INT_MAX; unsigned int sse; unsigned int whichdir; int thismse; unsigned int halfiters = iters_per_step; unsigned int quarteriters = iters_per_step; unsigned int eighthiters = iters_per_step; const int y_stride = xd->plane[0].pre[0].stride; const int offset = bestmv->row * y_stride + bestmv->col; uint8_t *y = xd->plane[0].pre[0].buf + offset; int rr = ref_mv->row; int rc = ref_mv->col; int br = bestmv->row * 8; int bc = bestmv->col * 8; int hstep = 4; const int minc = MAX(x->mv_col_min * 8, ref_mv->col - MV_MAX); const int maxc = MIN(x->mv_col_max * 8, ref_mv->col + MV_MAX); const int minr = MAX(x->mv_row_min * 8, ref_mv->row - MV_MAX); const int maxr = MIN(x->mv_row_max * 8, ref_mv->row + MV_MAX); int tr = br; int tc = bc; // central mv bestmv->row *= 8; bestmv->col *= 8; // calculate central point error besterr = vfp->vf(y, y_stride, z, src_stride, sse1); *distortion = besterr; besterr += mv_err_cost(bestmv, ref_mv, mvjcost, mvcost, error_per_bit); // 1/2 pel FIRST_LEVEL_CHECKS; if (halfiters > 1) { SECOND_LEVEL_CHECKS; } tr = br; tc = bc; // Note forced_stop: 0 - full, 1 - qtr only, 2 - half only if (forced_stop != 2) { hstep >>= 1; FIRST_LEVEL_CHECKS; if (quarteriters > 1) { SECOND_LEVEL_CHECKS; } tr = br; tc = bc; } if (allow_hp && vp9_use_mv_hp(ref_mv) && forced_stop == 0) { hstep >>= 1; FIRST_LEVEL_CHECKS; if (eighthiters > 1) { SECOND_LEVEL_CHECKS; } tr = br; tc = bc; } bestmv->row = br; bestmv->col = bc; if ((abs(bestmv->col - ref_mv->col) > (MAX_FULL_PEL_VAL << 3)) || (abs(bestmv->row - ref_mv->row) > (MAX_FULL_PEL_VAL << 3))) return INT_MAX; return besterr; } #undef DIST /* returns subpixel variance error function */ #define DIST(r, c) \ vfp->svaf(PRE(r, c), y_stride, SP(c), SP(r), \ z, src_stride, &sse, second_pred) int vp9_find_best_sub_pixel_comp_iterative(MACROBLOCK *x, MV *bestmv, const MV *ref_mv, int allow_hp, int error_per_bit, const vp9_variance_fn_ptr_t *vfp, int forced_stop, int iters_per_step, int *mvjcost, int *mvcost[2], int *distortion, unsigned int *sse1, const uint8_t *second_pred, int w, int h) { uint8_t *const z = x->plane[0].src.buf; const int src_stride = x->plane[0].src.stride; MACROBLOCKD *const xd = &x->e_mbd; unsigned int besterr = INT_MAX; unsigned int sse; unsigned int whichdir; unsigned int halfiters = iters_per_step; unsigned int quarteriters = iters_per_step; unsigned int eighthiters = iters_per_step; int thismse; DECLARE_ALIGNED_ARRAY(16, uint8_t, comp_pred, 64 * 64); const int y_stride = xd->plane[0].pre[0].stride; const int offset = bestmv->row * y_stride + bestmv->col; uint8_t *const y = xd->plane[0].pre[0].buf + offset; int rr = ref_mv->row; int rc = ref_mv->col; int br = bestmv->row * 8; int bc = bestmv->col * 8; int hstep = 4; const int minc = MAX(x->mv_col_min * 8, ref_mv->col - MV_MAX); const int maxc = MIN(x->mv_col_max * 8, ref_mv->col + MV_MAX); const int minr = MAX(x->mv_row_min * 8, ref_mv->row - MV_MAX); const int maxr = MIN(x->mv_row_max * 8, ref_mv->row + MV_MAX); int tr = br; int tc = bc; // central mv bestmv->row *= 8; bestmv->col *= 8; // calculate central point error // TODO(yunqingwang): central pointer error was already calculated in full- // pixel search, and can be passed in this function. comp_avg_pred(comp_pred, second_pred, w, h, y, y_stride); besterr = vfp->vf(comp_pred, w, z, src_stride, sse1); *distortion = besterr; besterr += mv_err_cost(bestmv, ref_mv, mvjcost, mvcost, error_per_bit); // Each subsequent iteration checks at least one point in // common with the last iteration could be 2 ( if diag selected) while (halfiters--) { // 1/2 pel FIRST_LEVEL_CHECKS; // no reason to check the same one again. if (tr == br && tc == bc) break; tr = br; tc = bc; } // Each subsequent iteration checks at least one point in common with // the last iteration could be 2 ( if diag selected) 1/4 pel // Note forced_stop: 0 - full, 1 - qtr only, 2 - half only if (forced_stop != 2) { hstep >>= 1; while (quarteriters--) { FIRST_LEVEL_CHECKS; // no reason to check the same one again. if (tr == br && tc == bc) break; tr = br; tc = bc; } } if (allow_hp && vp9_use_mv_hp(ref_mv) && forced_stop == 0) { hstep >>= 1; while (eighthiters--) { FIRST_LEVEL_CHECKS; // no reason to check the same one again. if (tr == br && tc == bc) break; tr = br; tc = bc; } } bestmv->row = br; bestmv->col = bc; if ((abs(bestmv->col - ref_mv->col) > (MAX_FULL_PEL_VAL << 3)) || (abs(bestmv->row - ref_mv->row) > (MAX_FULL_PEL_VAL << 3))) return INT_MAX; return besterr; } int vp9_find_best_sub_pixel_comp_tree(MACROBLOCK *x, MV *bestmv, const MV *ref_mv, int allow_hp, int error_per_bit, const vp9_variance_fn_ptr_t *vfp, int forced_stop, int iters_per_step, int *mvjcost, int *mvcost[2], int *distortion, unsigned int *sse1, const uint8_t *second_pred, int w, int h) { uint8_t *z = x->plane[0].src.buf; const int src_stride = x->plane[0].src.stride; MACROBLOCKD *xd = &x->e_mbd; unsigned int besterr = INT_MAX; unsigned int sse; unsigned int whichdir; int thismse; unsigned int halfiters = iters_per_step; unsigned int quarteriters = iters_per_step; unsigned int eighthiters = iters_per_step; DECLARE_ALIGNED_ARRAY(16, uint8_t, comp_pred, 64 * 64); const int y_stride = xd->plane[0].pre[0].stride; const int offset = bestmv->row * y_stride + bestmv->col; uint8_t *y = xd->plane[0].pre[0].buf + offset; int rr = ref_mv->row; int rc = ref_mv->col; int br = bestmv->row * 8; int bc = bestmv->col * 8; int hstep = 4; const int minc = MAX(x->mv_col_min * 8, ref_mv->col - MV_MAX); const int maxc = MIN(x->mv_col_max * 8, ref_mv->col + MV_MAX); const int minr = MAX(x->mv_row_min * 8, ref_mv->row - MV_MAX); const int maxr = MIN(x->mv_row_max * 8, ref_mv->row + MV_MAX); int tr = br; int tc = bc; // central mv bestmv->row *= 8; bestmv->col *= 8; // calculate central point error // TODO(yunqingwang): central pointer error was already calculated in full- // pixel search, and can be passed in this function. comp_avg_pred(comp_pred, second_pred, w, h, y, y_stride); besterr = vfp->vf(comp_pred, w, z, src_stride, sse1); *distortion = besterr; besterr += mv_err_cost(bestmv, ref_mv, mvjcost, mvcost, error_per_bit); // Each subsequent iteration checks at least one point in // common with the last iteration could be 2 ( if diag selected) // 1/2 pel FIRST_LEVEL_CHECKS; if (halfiters > 1) { SECOND_LEVEL_CHECKS; } tr = br; tc = bc; // Each subsequent iteration checks at least one point in common with // the last iteration could be 2 ( if diag selected) 1/4 pel // Note forced_stop: 0 - full, 1 - qtr only, 2 - half only if (forced_stop != 2) { hstep >>= 1; FIRST_LEVEL_CHECKS; if (quarteriters > 1) { SECOND_LEVEL_CHECKS; } tr = br; tc = bc; } if (allow_hp && vp9_use_mv_hp(ref_mv) && forced_stop == 0) { hstep >>= 1; FIRST_LEVEL_CHECKS; if (eighthiters > 1) { SECOND_LEVEL_CHECKS; } tr = br; tc = bc; } bestmv->row = br; bestmv->col = bc; if ((abs(bestmv->col - ref_mv->col) > (MAX_FULL_PEL_VAL << 3)) || (abs(bestmv->row - ref_mv->row) > (MAX_FULL_PEL_VAL << 3))) return INT_MAX; return besterr; } #undef MVC #undef PRE #undef DIST #undef IFMVCV #undef CHECK_BETTER #undef SP #define CHECK_BOUNDS(range) \ {\ all_in = 1;\ all_in &= ((br-range) >= x->mv_row_min);\ all_in &= ((br+range) <= x->mv_row_max);\ all_in &= ((bc-range) >= x->mv_col_min);\ all_in &= ((bc+range) <= x->mv_col_max);\ } #define CHECK_POINT \ {\ if (this_mv.col < x->mv_col_min) continue;\ if (this_mv.col > x->mv_col_max) continue;\ if (this_mv.row < x->mv_row_min) continue;\ if (this_mv.row > x->mv_row_max) continue;\ } #define CHECK_BETTER \ {\ if (thissad < bestsad)\ {\ if (use_mvcost) \ thissad += mvsad_err_cost(&this_mv, &fcenter_mv.as_mv, \ mvjsadcost, mvsadcost, \ sad_per_bit);\ if (thissad < bestsad)\ {\ bestsad = thissad;\ best_site = i;\ }\ }\ } #define get_next_chkpts(list, i, n) \ list[0] = ((i) == 0 ? (n) - 1 : (i) - 1); \ list[1] = (i); \ list[2] = ((i) == (n) - 1 ? 0 : (i) + 1); #define MAX_PATTERN_SCALES 11 #define MAX_PATTERN_CANDIDATES 8 // max number of canddiates per scale #define PATTERN_CANDIDATES_REF 3 // number of refinement candidates // Generic pattern search function that searches over multiple scales. // Each scale can have a different number of candidates and shape of // candidates as indicated in the num_candidates and candidates arrays // passed into this function static int vp9_pattern_search(MACROBLOCK *x, MV *ref_mv, int search_param, int sad_per_bit, int do_init_search, int do_refine, const vp9_variance_fn_ptr_t *vfp, int use_mvcost, const MV *center_mv, MV *best_mv, const int num_candidates[MAX_PATTERN_SCALES], const MV candidates[MAX_PATTERN_SCALES] [MAX_PATTERN_CANDIDATES]) { const MACROBLOCKD* const xd = &x->e_mbd; static const int search_param_to_steps[MAX_MVSEARCH_STEPS] = { 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0, }; int i, j, s, t; uint8_t *what = x->plane[0].src.buf; int what_stride = x->plane[0].src.stride; int in_what_stride = xd->plane[0].pre[0].stride; int br, bc; MV this_mv; int bestsad = INT_MAX; int thissad; uint8_t *base_offset; uint8_t *this_offset; int k = -1; int all_in; int best_site = -1; int_mv fcenter_mv; int best_init_s = search_param_to_steps[search_param]; int *mvjsadcost = x->nmvjointsadcost; int *mvsadcost[2] = {x->nmvsadcost[0], x->nmvsadcost[1]}; fcenter_mv.as_mv.row = center_mv->row >> 3; fcenter_mv.as_mv.col = center_mv->col >> 3; // adjust ref_mv to make sure it is within MV range clamp_mv(ref_mv, x->mv_col_min, x->mv_col_max, x->mv_row_min, x->mv_row_max); br = ref_mv->row; bc = ref_mv->col; // Work out the start point for the search base_offset = (uint8_t *)(xd->plane[0].pre[0].buf); this_offset = base_offset + (br * in_what_stride) + bc; this_mv.row = br; this_mv.col = bc; bestsad = vfp->sdf(what, what_stride, this_offset, in_what_stride, 0x7fffffff) + mvsad_err_cost(&this_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, sad_per_bit); // Search all possible scales upto the search param around the center point // pick the scale of the point that is best as the starting scale of // further steps around it. if (do_init_search) { s = best_init_s; best_init_s = -1; for (t = 0; t <= s; ++t) { best_site = -1; CHECK_BOUNDS((1 << t)) if (all_in) { for (i = 0; i < num_candidates[t]; i++) { this_mv.row = br + candidates[t][i].row; this_mv.col = bc + candidates[t][i].col; this_offset = base_offset + (this_mv.row * in_what_stride) + this_mv.col; thissad = vfp->sdf(what, what_stride, this_offset, in_what_stride, bestsad); CHECK_BETTER } } else { for (i = 0; i < num_candidates[t]; i++) { this_mv.row = br + candidates[t][i].row; this_mv.col = bc + candidates[t][i].col; CHECK_POINT this_offset = base_offset + (this_mv.row * in_what_stride) + this_mv.col; thissad = vfp->sdf(what, what_stride, this_offset, in_what_stride, bestsad); CHECK_BETTER } } if (best_site == -1) { continue; } else { best_init_s = t; k = best_site; } } if (best_init_s != -1) { br += candidates[best_init_s][k].row; bc += candidates[best_init_s][k].col; } } // If the center point is still the best, just skip this and move to // the refinement step. if (best_init_s != -1) { s = best_init_s; best_site = -1; do { // No need to search all 6 points the 1st time if initial search was used if (!do_init_search || s != best_init_s) { CHECK_BOUNDS((1 << s)) if (all_in) { for (i = 0; i < num_candidates[s]; i++) { this_mv.row = br + candidates[s][i].row; this_mv.col = bc + candidates[s][i].col; this_offset = base_offset + (this_mv.row * in_what_stride) + this_mv.col; thissad = vfp->sdf(what, what_stride, this_offset, in_what_stride, bestsad); CHECK_BETTER } } else { for (i = 0; i < num_candidates[s]; i++) { this_mv.row = br + candidates[s][i].row; this_mv.col = bc + candidates[s][i].col; CHECK_POINT this_offset = base_offset + (this_mv.row * in_what_stride) + this_mv.col; thissad = vfp->sdf(what, what_stride, this_offset, in_what_stride, bestsad); CHECK_BETTER } } if (best_site == -1) { continue; } else { br += candidates[s][best_site].row; bc += candidates[s][best_site].col; k = best_site; } } do { int next_chkpts_indices[PATTERN_CANDIDATES_REF]; best_site = -1; CHECK_BOUNDS((1 << s)) get_next_chkpts(next_chkpts_indices, k, num_candidates[s]); if (all_in) { for (i = 0; i < PATTERN_CANDIDATES_REF; i++) { this_mv.row = br + candidates[s][next_chkpts_indices[i]].row; this_mv.col = bc + candidates[s][next_chkpts_indices[i]].col; this_offset = base_offset + (this_mv.row * (in_what_stride)) + this_mv.col; thissad = vfp->sdf(what, what_stride, this_offset, in_what_stride, bestsad); CHECK_BETTER } } else { for (i = 0; i < PATTERN_CANDIDATES_REF; i++) { this_mv.row = br + candidates[s][next_chkpts_indices[i]].row; this_mv.col = bc + candidates[s][next_chkpts_indices[i]].col; CHECK_POINT this_offset = base_offset + (this_mv.row * (in_what_stride)) + this_mv.col; thissad = vfp->sdf(what, what_stride, this_offset, in_what_stride, bestsad); CHECK_BETTER } } if (best_site != -1) { k = next_chkpts_indices[best_site]; br += candidates[s][k].row; bc += candidates[s][k].col; } } while (best_site != -1); } while (s--); } // Check 4 1-away neighbors if do_refine is true. // For most well-designed schemes do_refine will not be necessary. if (do_refine) { static const MV neighbors[4] = { {0, -1}, { -1, 0}, {1, 0}, {0, 1}, }; for (j = 0; j < 16; j++) { best_site = -1; CHECK_BOUNDS(1) if (all_in) { for (i = 0; i < 4; i++) { this_mv.row = br + neighbors[i].row; this_mv.col = bc + neighbors[i].col; this_offset = base_offset + (this_mv.row * (in_what_stride)) + this_mv.col; thissad = vfp->sdf(what, what_stride, this_offset, in_what_stride, bestsad); CHECK_BETTER } } else { for (i = 0; i < 4; i++) { this_mv.row = br + neighbors[i].row; this_mv.col = bc + neighbors[i].col; CHECK_POINT this_offset = base_offset + (this_mv.row * (in_what_stride)) + this_mv.col; thissad = vfp->sdf(what, what_stride, this_offset, in_what_stride, bestsad); CHECK_BETTER } } if (best_site == -1) { break; } else { br += neighbors[best_site].row; bc += neighbors[best_site].col; } } } best_mv->row = br; best_mv->col = bc; this_offset = base_offset + (best_mv->row * in_what_stride) + best_mv->col; this_mv.row = best_mv->row * 8; this_mv.col = best_mv->col * 8; if (bestsad == INT_MAX) return INT_MAX; return vfp->vf(what, what_stride, this_offset, in_what_stride, (unsigned int *)&bestsad) + use_mvcost ? mv_err_cost(&this_mv, center_mv, x->nmvjointcost, x->mvcost, x->errorperbit) : 0; } int vp9_hex_search(MACROBLOCK *x, MV *ref_mv, int search_param, int sad_per_bit, int do_init_search, const vp9_variance_fn_ptr_t *vfp, int use_mvcost, const MV *center_mv, MV *best_mv) { // First scale has 8-closest points, the rest have 6 points in hex shape // at increasing scales static const int hex_num_candidates[MAX_PATTERN_SCALES] = { 8, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6 }; // Note that the largest candidate step at each scale is 2^scale static const MV hex_candidates[MAX_PATTERN_SCALES][MAX_PATTERN_CANDIDATES] = { {{-1, -1}, {0, -1}, {1, -1}, {1, 0}, {1, 1}, { 0, 1}, { -1, 1}, {-1, 0}}, {{-1, -2}, {1, -2}, {2, 0}, {1, 2}, { -1, 2}, { -2, 0}}, {{-2, -4}, {2, -4}, {4, 0}, {2, 4}, { -2, 4}, { -4, 0}}, {{-4, -8}, {4, -8}, {8, 0}, {4, 8}, { -4, 8}, { -8, 0}}, {{-8, -16}, {8, -16}, {16, 0}, {8, 16}, { -8, 16}, { -16, 0}}, {{-16, -32}, {16, -32}, {32, 0}, {16, 32}, { -16, 32}, { -32, 0}}, {{-32, -64}, {32, -64}, {64, 0}, {32, 64}, { -32, 64}, { -64, 0}}, {{-64, -128}, {64, -128}, {128, 0}, {64, 128}, { -64, 128}, { -128, 0}}, {{-128, -256}, {128, -256}, {256, 0}, {128, 256}, { -128, 256}, { -256, 0}}, {{-256, -512}, {256, -512}, {512, 0}, {256, 512}, { -256, 512}, { -512, 0}}, {{-512, -1024}, {512, -1024}, {1024, 0}, {512, 1024}, { -512, 1024}, { -1024, 0}}, }; return vp9_pattern_search(x, ref_mv, search_param, sad_per_bit, do_init_search, 0, vfp, use_mvcost, center_mv, best_mv, hex_num_candidates, hex_candidates); } int vp9_bigdia_search(MACROBLOCK *x, MV *ref_mv, int search_param, int sad_per_bit, int do_init_search, const vp9_variance_fn_ptr_t *vfp, int use_mvcost, const MV *center_mv, MV *best_mv) { // First scale has 4-closest points, the rest have 8 points in diamond // shape at increasing scales static const int bigdia_num_candidates[MAX_PATTERN_SCALES] = { 4, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, }; // Note that the largest candidate step at each scale is 2^scale static const MV bigdia_candidates[MAX_PATTERN_SCALES] [MAX_PATTERN_CANDIDATES] = { {{0, -1}, {1, 0}, { 0, 1}, {-1, 0}}, {{-1, -1}, {0, -2}, {1, -1}, {2, 0}, {1, 1}, {0, 2}, {-1, 1}, {-2, 0}}, {{-2, -2}, {0, -4}, {2, -2}, {4, 0}, {2, 2}, {0, 4}, {-2, 2}, {-4, 0}}, {{-4, -4}, {0, -8}, {4, -4}, {8, 0}, {4, 4}, {0, 8}, {-4, 4}, {-8, 0}}, {{-8, -8}, {0, -16}, {8, -8}, {16, 0}, {8, 8}, {0, 16}, {-8, 8}, {-16, 0}}, {{-16, -16}, {0, -32}, {16, -16}, {32, 0}, {16, 16}, {0, 32}, {-16, 16}, {-32, 0}}, {{-32, -32}, {0, -64}, {32, -32}, {64, 0}, {32, 32}, {0, 64}, {-32, 32}, {-64, 0}}, {{-64, -64}, {0, -128}, {64, -64}, {128, 0}, {64, 64}, {0, 128}, {-64, 64}, {-128, 0}}, {{-128, -128}, {0, -256}, {128, -128}, {256, 0}, {128, 128}, {0, 256}, {-128, 128}, {-256, 0}}, {{-256, -256}, {0, -512}, {256, -256}, {512, 0}, {256, 256}, {0, 512}, {-256, 256}, {-512, 0}}, {{-512, -512}, {0, -1024}, {512, -512}, {1024, 0}, {512, 512}, {0, 1024}, {-512, 512}, {-1024, 0}}, }; return vp9_pattern_search(x, ref_mv, search_param, sad_per_bit, do_init_search, 0, vfp, use_mvcost, center_mv, best_mv, bigdia_num_candidates, bigdia_candidates); } int vp9_square_search(MACROBLOCK *x, MV *ref_mv, int search_param, int sad_per_bit, int do_init_search, const vp9_variance_fn_ptr_t *vfp, int use_mvcost, const MV *center_mv, MV *best_mv) { // All scales have 8 closest points in square shape static const int square_num_candidates[MAX_PATTERN_SCALES] = { 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, }; // Note that the largest candidate step at each scale is 2^scale static const MV square_candidates[MAX_PATTERN_SCALES] [MAX_PATTERN_CANDIDATES] = { {{-1, -1}, {0, -1}, {1, -1}, {1, 0}, {1, 1}, {0, 1}, {-1, 1}, {-1, 0}}, {{-2, -2}, {0, -2}, {2, -2}, {2, 0}, {2, 2}, {0, 2}, {-2, 2}, {-2, 0}}, {{-4, -4}, {0, -4}, {4, -4}, {4, 0}, {4, 4}, {0, 4}, {-4, 4}, {-4, 0}}, {{-8, -8}, {0, -8}, {8, -8}, {8, 0}, {8, 8}, {0, 8}, {-8, 8}, {-8, 0}}, {{-16, -16}, {0, -16}, {16, -16}, {16, 0}, {16, 16}, {0, 16}, {-16, 16}, {-16, 0}}, {{-32, -32}, {0, -32}, {32, -32}, {32, 0}, {32, 32}, {0, 32}, {-32, 32}, {-32, 0}}, {{-64, -64}, {0, -64}, {64, -64}, {64, 0}, {64, 64}, {0, 64}, {-64, 64}, {-64, 0}}, {{-128, -128}, {0, -128}, {128, -128}, {128, 0}, {128, 128}, {0, 128}, {-128, 128}, {-128, 0}}, {{-256, -256}, {0, -256}, {256, -256}, {256, 0}, {256, 256}, {0, 256}, {-256, 256}, {-256, 0}}, {{-512, -512}, {0, -512}, {512, -512}, {512, 0}, {512, 512}, {0, 512}, {-512, 512}, {-512, 0}}, {{-1024, -1024}, {0, -1024}, {1024, -1024}, {1024, 0}, {1024, 1024}, {0, 1024}, {-1024, 1024}, {-1024, 0}}, }; return vp9_pattern_search(x, ref_mv, search_param, sad_per_bit, do_init_search, 0, vfp, use_mvcost, center_mv, best_mv, square_num_candidates, square_candidates); }; #undef CHECK_BOUNDS #undef CHECK_POINT #undef CHECK_BETTER int vp9_diamond_search_sad_c(MACROBLOCK *x, int_mv *ref_mv, int_mv *best_mv, int search_param, int sad_per_bit, int *num00, vp9_variance_fn_ptr_t *fn_ptr, int *mvjcost, int *mvcost[2], int_mv *center_mv) { int i, j, step; const MACROBLOCKD* const xd = &x->e_mbd; uint8_t *what = x->plane[0].src.buf; int what_stride = x->plane[0].src.stride; uint8_t *in_what; int in_what_stride = xd->plane[0].pre[0].stride; uint8_t *best_address; int tot_steps; int_mv this_mv; int bestsad = INT_MAX; int best_site = 0; int last_site = 0; int ref_row, ref_col; int this_row_offset, this_col_offset; search_site *ss; uint8_t *check_here; int thissad; int_mv fcenter_mv; int *mvjsadcost = x->nmvjointsadcost; int *mvsadcost[2] = {x->nmvsadcost[0], x->nmvsadcost[1]}; fcenter_mv.as_mv.row = center_mv->as_mv.row >> 3; fcenter_mv.as_mv.col = center_mv->as_mv.col >> 3; clamp_mv(&ref_mv->as_mv, x->mv_col_min, x->mv_col_max, x->mv_row_min, x->mv_row_max); ref_row = ref_mv->as_mv.row; ref_col = ref_mv->as_mv.col; *num00 = 0; best_mv->as_mv.row = ref_row; best_mv->as_mv.col = ref_col; // Work out the start point for the search in_what = (uint8_t *)(xd->plane[0].pre[0].buf + (ref_row * (xd->plane[0].pre[0].stride)) + ref_col); best_address = in_what; // Check the starting position bestsad = fn_ptr->sdf(what, what_stride, in_what, in_what_stride, 0x7fffffff) + mvsad_err_cost(&best_mv->as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, sad_per_bit); // search_param determines the length of the initial step and hence the number // of iterations // 0 = initial step (MAX_FIRST_STEP) pel : 1 = (MAX_FIRST_STEP/2) pel, 2 = // (MAX_FIRST_STEP/4) pel... etc. ss = &x->ss[search_param * x->searches_per_step]; tot_steps = (x->ss_count / x->searches_per_step) - search_param; i = 1; for (step = 0; step < tot_steps; step++) { for (j = 0; j < x->searches_per_step; j++) { // Trap illegal vectors this_row_offset = best_mv->as_mv.row + ss[i].mv.row; this_col_offset = best_mv->as_mv.col + ss[i].mv.col; if ((this_col_offset > x->mv_col_min) && (this_col_offset < x->mv_col_max) && (this_row_offset > x->mv_row_min) && (this_row_offset < x->mv_row_max)) { check_here = ss[i].offset + best_address; thissad = fn_ptr->sdf(what, what_stride, check_here, in_what_stride, bestsad); if (thissad < bestsad) { this_mv.as_mv.row = this_row_offset; this_mv.as_mv.col = this_col_offset; thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, sad_per_bit); if (thissad < bestsad) { bestsad = thissad; best_site = i; } } } i++; } if (best_site != last_site) { best_mv->as_mv.row += ss[best_site].mv.row; best_mv->as_mv.col += ss[best_site].mv.col; best_address += ss[best_site].offset; last_site = best_site; #if defined(NEW_DIAMOND_SEARCH) while (1) { this_row_offset = best_mv->as_mv.row + ss[best_site].mv.row; this_col_offset = best_mv->as_mv.col + ss[best_site].mv.col; if ((this_col_offset > x->mv_col_min) && (this_col_offset < x->mv_col_max) && (this_row_offset > x->mv_row_min) && (this_row_offset < x->mv_row_max)) { check_here = ss[best_site].offset + best_address; thissad = fn_ptr->sdf(what, what_stride, check_here, in_what_stride, bestsad); if (thissad < bestsad) { this_mv.as_mv.row = this_row_offset; this_mv.as_mv.col = this_col_offset; thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, sad_per_bit); if (thissad < bestsad) { bestsad = thissad; best_mv->as_mv.row += ss[best_site].mv.row; best_mv->as_mv.col += ss[best_site].mv.col; best_address += ss[best_site].offset; continue; } } } break; }; #endif } else if (best_address == in_what) { (*num00)++; } } this_mv.as_mv.row = best_mv->as_mv.row * 8; this_mv.as_mv.col = best_mv->as_mv.col * 8; if (bestsad == INT_MAX) return INT_MAX; return fn_ptr->vf(what, what_stride, best_address, in_what_stride, (unsigned int *)(&thissad)) + mv_err_cost(&this_mv.as_mv, ¢er_mv->as_mv, mvjcost, mvcost, x->errorperbit); } int vp9_diamond_search_sadx4(MACROBLOCK *x, int_mv *ref_mv, int_mv *best_mv, int search_param, int sad_per_bit, int *num00, vp9_variance_fn_ptr_t *fn_ptr, int *mvjcost, int *mvcost[2], int_mv *center_mv) { int i, j, step; const MACROBLOCKD* const xd = &x->e_mbd; uint8_t *what = x->plane[0].src.buf; int what_stride = x->plane[0].src.stride; uint8_t *in_what; int in_what_stride = xd->plane[0].pre[0].stride; uint8_t *best_address; int tot_steps; int_mv this_mv; unsigned int bestsad = INT_MAX; int best_site = 0; int last_site = 0; int ref_row; int ref_col; int this_row_offset; int this_col_offset; search_site *ss; uint8_t *check_here; unsigned int thissad; int_mv fcenter_mv; int *mvjsadcost = x->nmvjointsadcost; int *mvsadcost[2] = {x->nmvsadcost[0], x->nmvsadcost[1]}; fcenter_mv.as_mv.row = center_mv->as_mv.row >> 3; fcenter_mv.as_mv.col = center_mv->as_mv.col >> 3; clamp_mv(&ref_mv->as_mv, x->mv_col_min, x->mv_col_max, x->mv_row_min, x->mv_row_max); ref_row = ref_mv->as_mv.row; ref_col = ref_mv->as_mv.col; *num00 = 0; best_mv->as_mv.row = ref_row; best_mv->as_mv.col = ref_col; // Work out the start point for the search in_what = (uint8_t *)(xd->plane[0].pre[0].buf + (ref_row * (xd->plane[0].pre[0].stride)) + ref_col); best_address = in_what; // Check the starting position bestsad = fn_ptr->sdf(what, what_stride, in_what, in_what_stride, 0x7fffffff) + mvsad_err_cost(&best_mv->as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, sad_per_bit); // search_param determines the length of the initial step and hence the number // of iterations. // 0 = initial step (MAX_FIRST_STEP) pel // 1 = (MAX_FIRST_STEP/2) pel, // 2 = (MAX_FIRST_STEP/4) pel... ss = &x->ss[search_param * x->searches_per_step]; tot_steps = (x->ss_count / x->searches_per_step) - search_param; i = 1; for (step = 0; step < tot_steps; step++) { int all_in = 1, t; // All_in is true if every one of the points we are checking are within // the bounds of the image. all_in &= ((best_mv->as_mv.row + ss[i].mv.row) > x->mv_row_min); all_in &= ((best_mv->as_mv.row + ss[i + 1].mv.row) < x->mv_row_max); all_in &= ((best_mv->as_mv.col + ss[i + 2].mv.col) > x->mv_col_min); all_in &= ((best_mv->as_mv.col + ss[i + 3].mv.col) < x->mv_col_max); // If all the pixels are within the bounds we don't check whether the // search point is valid in this loop, otherwise we check each point // for validity.. if (all_in) { unsigned int sad_array[4]; for (j = 0; j < x->searches_per_step; j += 4) { unsigned char const *block_offset[4]; for (t = 0; t < 4; t++) block_offset[t] = ss[i + t].offset + best_address; fn_ptr->sdx4df(what, what_stride, block_offset, in_what_stride, sad_array); for (t = 0; t < 4; t++, i++) { if (sad_array[t] < bestsad) { this_mv.as_mv.row = best_mv->as_mv.row + ss[i].mv.row; this_mv.as_mv.col = best_mv->as_mv.col + ss[i].mv.col; sad_array[t] += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, sad_per_bit); if (sad_array[t] < bestsad) { bestsad = sad_array[t]; best_site = i; } } } } } else { for (j = 0; j < x->searches_per_step; j++) { // Trap illegal vectors this_row_offset = best_mv->as_mv.row + ss[i].mv.row; this_col_offset = best_mv->as_mv.col + ss[i].mv.col; if ((this_col_offset > x->mv_col_min) && (this_col_offset < x->mv_col_max) && (this_row_offset > x->mv_row_min) && (this_row_offset < x->mv_row_max)) { check_here = ss[i].offset + best_address; thissad = fn_ptr->sdf(what, what_stride, check_here, in_what_stride, bestsad); if (thissad < bestsad) { this_mv.as_mv.row = this_row_offset; this_mv.as_mv.col = this_col_offset; thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, sad_per_bit); if (thissad < bestsad) { bestsad = thissad; best_site = i; } } } i++; } } if (best_site != last_site) { best_mv->as_mv.row += ss[best_site].mv.row; best_mv->as_mv.col += ss[best_site].mv.col; best_address += ss[best_site].offset; last_site = best_site; #if defined(NEW_DIAMOND_SEARCH) while (1) { this_row_offset = best_mv->as_mv.row + ss[best_site].mv.row; this_col_offset = best_mv->as_mv.col + ss[best_site].mv.col; if ((this_col_offset > x->mv_col_min) && (this_col_offset < x->mv_col_max) && (this_row_offset > x->mv_row_min) && (this_row_offset < x->mv_row_max)) { check_here = ss[best_site].offset + best_address; thissad = fn_ptr->sdf(what, what_stride, check_here, in_what_stride, bestsad); if (thissad < bestsad) { this_mv.as_mv.row = this_row_offset; this_mv.as_mv.col = this_col_offset; thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, sad_per_bit); if (thissad < bestsad) { bestsad = thissad; best_mv->as_mv.row += ss[best_site].mv.row; best_mv->as_mv.col += ss[best_site].mv.col; best_address += ss[best_site].offset; continue; } } } break; }; #endif } else if (best_address == in_what) { (*num00)++; } } this_mv.as_mv.row = best_mv->as_mv.row * 8; this_mv.as_mv.col = best_mv->as_mv.col * 8; if (bestsad == INT_MAX) return INT_MAX; return fn_ptr->vf(what, what_stride, best_address, in_what_stride, (unsigned int *)(&thissad)) + mv_err_cost(&this_mv.as_mv, ¢er_mv->as_mv, mvjcost, mvcost, x->errorperbit); } /* do_refine: If last step (1-away) of n-step search doesn't pick the center point as the best match, we will do a final 1-away diamond refining search */ int vp9_full_pixel_diamond(VP9_COMP *cpi, MACROBLOCK *x, int_mv *mvp_full, int step_param, int sadpb, int further_steps, int do_refine, vp9_variance_fn_ptr_t *fn_ptr, int_mv *ref_mv, int_mv *dst_mv) { int_mv temp_mv; int thissme, n, num00; int bestsme = cpi->diamond_search_sad(x, mvp_full, &temp_mv, step_param, sadpb, &num00, fn_ptr, x->nmvjointcost, x->mvcost, ref_mv); dst_mv->as_int = temp_mv.as_int; n = num00; num00 = 0; /* If there won't be more n-step search, check to see if refining search is * needed. */ if (n > further_steps) do_refine = 0; while (n < further_steps) { n++; if (num00) { num00--; } else { thissme = cpi->diamond_search_sad(x, mvp_full, &temp_mv, step_param + n, sadpb, &num00, fn_ptr, x->nmvjointcost, x->mvcost, ref_mv); /* check to see if refining search is needed. */ if (num00 > (further_steps - n)) do_refine = 0; if (thissme < bestsme) { bestsme = thissme; dst_mv->as_int = temp_mv.as_int; } } } /* final 1-away diamond refining search */ if (do_refine == 1) { int search_range = 8; int_mv best_mv; best_mv.as_int = dst_mv->as_int; thissme = cpi->refining_search_sad(x, &best_mv, sadpb, search_range, fn_ptr, x->nmvjointcost, x->mvcost, ref_mv); if (thissme < bestsme) { bestsme = thissme; dst_mv->as_int = best_mv.as_int; } } return bestsme; } int vp9_full_search_sad_c(MACROBLOCK *x, int_mv *ref_mv, int sad_per_bit, int distance, vp9_variance_fn_ptr_t *fn_ptr, int *mvjcost, int *mvcost[2], int_mv *center_mv, int n) { const MACROBLOCKD* const xd = &x->e_mbd; uint8_t *what = x->plane[0].src.buf; int what_stride = x->plane[0].src.stride; uint8_t *in_what; int in_what_stride = xd->plane[0].pre[0].stride; int mv_stride = xd->plane[0].pre[0].stride; uint8_t *bestaddress; int_mv *best_mv = &x->e_mbd.mi_8x8[0]->bmi[n].as_mv[0]; int_mv this_mv; int bestsad = INT_MAX; int r, c; uint8_t *check_here; int thissad; int ref_row = ref_mv->as_mv.row; int ref_col = ref_mv->as_mv.col; int row_min = ref_row - distance; int row_max = ref_row + distance; int col_min = ref_col - distance; int col_max = ref_col + distance; int_mv fcenter_mv; int *mvjsadcost = x->nmvjointsadcost; int *mvsadcost[2] = {x->nmvsadcost[0], x->nmvsadcost[1]}; fcenter_mv.as_mv.row = center_mv->as_mv.row >> 3; fcenter_mv.as_mv.col = center_mv->as_mv.col >> 3; // Work out the mid point for the search in_what = xd->plane[0].pre[0].buf; bestaddress = in_what + (ref_row * xd->plane[0].pre[0].stride) + ref_col; best_mv->as_mv.row = ref_row; best_mv->as_mv.col = ref_col; // Baseline value at the centre bestsad = fn_ptr->sdf(what, what_stride, bestaddress, in_what_stride, 0x7fffffff) + mvsad_err_cost(&best_mv->as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, sad_per_bit); // Apply further limits to prevent us looking using vectors that stretch // beyond the UMV border col_min = MAX(col_min, x->mv_col_min); col_max = MIN(col_max, x->mv_col_max); row_min = MAX(row_min, x->mv_row_min); row_max = MIN(row_max, x->mv_row_max); for (r = row_min; r < row_max; r++) { this_mv.as_mv.row = r; check_here = r * mv_stride + in_what + col_min; for (c = col_min; c < col_max; c++) { thissad = fn_ptr->sdf(what, what_stride, check_here, in_what_stride, bestsad); this_mv.as_mv.col = c; thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, sad_per_bit); if (thissad < bestsad) { bestsad = thissad; best_mv->as_mv.row = r; best_mv->as_mv.col = c; bestaddress = check_here; } check_here++; } } this_mv.as_mv.row = best_mv->as_mv.row * 8; this_mv.as_mv.col = best_mv->as_mv.col * 8; if (bestsad < INT_MAX) return fn_ptr->vf(what, what_stride, bestaddress, in_what_stride, (unsigned int *)(&thissad)) + mv_err_cost(&this_mv.as_mv, ¢er_mv->as_mv, mvjcost, mvcost, x->errorperbit); else return INT_MAX; } int vp9_full_search_sadx3(MACROBLOCK *x, int_mv *ref_mv, int sad_per_bit, int distance, vp9_variance_fn_ptr_t *fn_ptr, int *mvjcost, int *mvcost[2], int_mv *center_mv, int n) { const MACROBLOCKD* const xd = &x->e_mbd; uint8_t *what = x->plane[0].src.buf; int what_stride = x->plane[0].src.stride; uint8_t *in_what; int in_what_stride = xd->plane[0].pre[0].stride; int mv_stride = xd->plane[0].pre[0].stride; uint8_t *bestaddress; int_mv *best_mv = &x->e_mbd.mi_8x8[0]->bmi[n].as_mv[0]; int_mv this_mv; unsigned int bestsad = INT_MAX; int r, c; uint8_t *check_here; unsigned int thissad; int ref_row = ref_mv->as_mv.row; int ref_col = ref_mv->as_mv.col; int row_min = ref_row - distance; int row_max = ref_row + distance; int col_min = ref_col - distance; int col_max = ref_col + distance; unsigned int sad_array[3]; int_mv fcenter_mv; int *mvjsadcost = x->nmvjointsadcost; int *mvsadcost[2] = {x->nmvsadcost[0], x->nmvsadcost[1]}; fcenter_mv.as_mv.row = center_mv->as_mv.row >> 3; fcenter_mv.as_mv.col = center_mv->as_mv.col >> 3; // Work out the mid point for the search in_what = xd->plane[0].pre[0].buf; bestaddress = in_what + (ref_row * xd->plane[0].pre[0].stride) + ref_col; best_mv->as_mv.row = ref_row; best_mv->as_mv.col = ref_col; // Baseline value at the centre bestsad = fn_ptr->sdf(what, what_stride, bestaddress, in_what_stride, 0x7fffffff) + mvsad_err_cost(&best_mv->as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, sad_per_bit); // Apply further limits to prevent us looking using vectors that stretch // beyond the UMV border col_min = MAX(col_min, x->mv_col_min); col_max = MIN(col_max, x->mv_col_max); row_min = MAX(row_min, x->mv_row_min); row_max = MIN(row_max, x->mv_row_max); for (r = row_min; r < row_max; r++) { this_mv.as_mv.row = r; check_here = r * mv_stride + in_what + col_min; c = col_min; while ((c + 2) < col_max) { int i; fn_ptr->sdx3f(what, what_stride, check_here, in_what_stride, sad_array); for (i = 0; i < 3; i++) { thissad = sad_array[i]; if (thissad < bestsad) { this_mv.as_mv.col = c; thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, sad_per_bit); if (thissad < bestsad) { bestsad = thissad; best_mv->as_mv.row = r; best_mv->as_mv.col = c; bestaddress = check_here; } } check_here++; c++; } } while (c < col_max) { thissad = fn_ptr->sdf(what, what_stride, check_here, in_what_stride, bestsad); if (thissad < bestsad) { this_mv.as_mv.col = c; thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, sad_per_bit); if (thissad < bestsad) { bestsad = thissad; best_mv->as_mv.row = r; best_mv->as_mv.col = c; bestaddress = check_here; } } check_here++; c++; } } this_mv.as_mv.row = best_mv->as_mv.row * 8; this_mv.as_mv.col = best_mv->as_mv.col * 8; if (bestsad < INT_MAX) return fn_ptr->vf(what, what_stride, bestaddress, in_what_stride, (unsigned int *)(&thissad)) + mv_err_cost(&this_mv.as_mv, ¢er_mv->as_mv, mvjcost, mvcost, x->errorperbit); else return INT_MAX; } int vp9_full_search_sadx8(MACROBLOCK *x, int_mv *ref_mv, int sad_per_bit, int distance, vp9_variance_fn_ptr_t *fn_ptr, int *mvjcost, int *mvcost[2], int_mv *center_mv, int n) { const MACROBLOCKD* const xd = &x->e_mbd; uint8_t *what = x->plane[0].src.buf; int what_stride = x->plane[0].src.stride; uint8_t *in_what; int in_what_stride = xd->plane[0].pre[0].stride; int mv_stride = xd->plane[0].pre[0].stride; uint8_t *bestaddress; int_mv *best_mv = &x->e_mbd.mi_8x8[0]->bmi[n].as_mv[0]; int_mv this_mv; unsigned int bestsad = INT_MAX; int r, c; uint8_t *check_here; unsigned int thissad; int ref_row = ref_mv->as_mv.row; int ref_col = ref_mv->as_mv.col; int row_min = ref_row - distance; int row_max = ref_row + distance; int col_min = ref_col - distance; int col_max = ref_col + distance; DECLARE_ALIGNED_ARRAY(16, uint32_t, sad_array8, 8); unsigned int sad_array[3]; int_mv fcenter_mv; int *mvjsadcost = x->nmvjointsadcost; int *mvsadcost[2] = {x->nmvsadcost[0], x->nmvsadcost[1]}; fcenter_mv.as_mv.row = center_mv->as_mv.row >> 3; fcenter_mv.as_mv.col = center_mv->as_mv.col >> 3; // Work out the mid point for the search in_what = xd->plane[0].pre[0].buf; bestaddress = in_what + (ref_row * xd->plane[0].pre[0].stride) + ref_col; best_mv->as_mv.row = ref_row; best_mv->as_mv.col = ref_col; // Baseline value at the centre bestsad = fn_ptr->sdf(what, what_stride, bestaddress, in_what_stride, 0x7fffffff) + mvsad_err_cost(&best_mv->as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, sad_per_bit); // Apply further limits to prevent us looking using vectors that stretch // beyond the UMV border col_min = MAX(col_min, x->mv_col_min); col_max = MIN(col_max, x->mv_col_max); row_min = MAX(row_min, x->mv_row_min); row_max = MIN(row_max, x->mv_row_max); for (r = row_min; r < row_max; r++) { this_mv.as_mv.row = r; check_here = r * mv_stride + in_what + col_min; c = col_min; while ((c + 7) < col_max) { int i; fn_ptr->sdx8f(what, what_stride, check_here, in_what_stride, sad_array8); for (i = 0; i < 8; i++) { thissad = (unsigned int)sad_array8[i]; if (thissad < bestsad) { this_mv.as_mv.col = c; thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, sad_per_bit); if (thissad < bestsad) { bestsad = thissad; best_mv->as_mv.row = r; best_mv->as_mv.col = c; bestaddress = check_here; } } check_here++; c++; } } while ((c + 2) < col_max && fn_ptr->sdx3f != NULL) { int i; fn_ptr->sdx3f(what, what_stride, check_here, in_what_stride, sad_array); for (i = 0; i < 3; i++) { thissad = sad_array[i]; if (thissad < bestsad) { this_mv.as_mv.col = c; thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, sad_per_bit); if (thissad < bestsad) { bestsad = thissad; best_mv->as_mv.row = r; best_mv->as_mv.col = c; bestaddress = check_here; } } check_here++; c++; } } while (c < col_max) { thissad = fn_ptr->sdf(what, what_stride, check_here, in_what_stride, bestsad); if (thissad < bestsad) { this_mv.as_mv.col = c; thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, sad_per_bit); if (thissad < bestsad) { bestsad = thissad; best_mv->as_mv.row = r; best_mv->as_mv.col = c; bestaddress = check_here; } } check_here++; c++; } } this_mv.as_mv.row = best_mv->as_mv.row * 8; this_mv.as_mv.col = best_mv->as_mv.col * 8; if (bestsad < INT_MAX) return fn_ptr->vf(what, what_stride, bestaddress, in_what_stride, (unsigned int *)(&thissad)) + mv_err_cost(&this_mv.as_mv, ¢er_mv->as_mv, mvjcost, mvcost, x->errorperbit); else return INT_MAX; } int vp9_refining_search_sad_c(MACROBLOCK *x, int_mv *ref_mv, int error_per_bit, int search_range, vp9_variance_fn_ptr_t *fn_ptr, int *mvjcost, int *mvcost[2], int_mv *center_mv) { const MACROBLOCKD* const xd = &x->e_mbd; MV neighbors[4] = {{ -1, 0}, {0, -1}, {0, 1}, {1, 0}}; int i, j; int this_row_offset, this_col_offset; int what_stride = x->plane[0].src.stride; int in_what_stride = xd->plane[0].pre[0].stride; uint8_t *what = x->plane[0].src.buf; uint8_t *best_address = xd->plane[0].pre[0].buf + (ref_mv->as_mv.row * xd->plane[0].pre[0].stride) + ref_mv->as_mv.col; uint8_t *check_here; unsigned int thissad; int_mv this_mv; unsigned int bestsad = INT_MAX; int_mv fcenter_mv; int *mvjsadcost = x->nmvjointsadcost; int *mvsadcost[2] = {x->nmvsadcost[0], x->nmvsadcost[1]}; fcenter_mv.as_mv.row = center_mv->as_mv.row >> 3; fcenter_mv.as_mv.col = center_mv->as_mv.col >> 3; bestsad = fn_ptr->sdf(what, what_stride, best_address, in_what_stride, 0x7fffffff) + mvsad_err_cost(&ref_mv->as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, error_per_bit); for (i = 0; i < search_range; i++) { int best_site = -1; for (j = 0; j < 4; j++) { this_row_offset = ref_mv->as_mv.row + neighbors[j].row; this_col_offset = ref_mv->as_mv.col + neighbors[j].col; if ((this_col_offset > x->mv_col_min) && (this_col_offset < x->mv_col_max) && (this_row_offset > x->mv_row_min) && (this_row_offset < x->mv_row_max)) { check_here = (neighbors[j].row) * in_what_stride + neighbors[j].col + best_address; thissad = fn_ptr->sdf(what, what_stride, check_here, in_what_stride, bestsad); if (thissad < bestsad) { this_mv.as_mv.row = this_row_offset; this_mv.as_mv.col = this_col_offset; thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, error_per_bit); if (thissad < bestsad) { bestsad = thissad; best_site = j; } } } } if (best_site == -1) { break; } else { ref_mv->as_mv.row += neighbors[best_site].row; ref_mv->as_mv.col += neighbors[best_site].col; best_address += (neighbors[best_site].row) * in_what_stride + neighbors[best_site].col; } } this_mv.as_mv.row = ref_mv->as_mv.row * 8; this_mv.as_mv.col = ref_mv->as_mv.col * 8; if (bestsad < INT_MAX) return fn_ptr->vf(what, what_stride, best_address, in_what_stride, (unsigned int *)(&thissad)) + mv_err_cost(&this_mv.as_mv, ¢er_mv->as_mv, mvjcost, mvcost, x->errorperbit); else return INT_MAX; } int vp9_refining_search_sadx4(MACROBLOCK *x, int_mv *ref_mv, int error_per_bit, int search_range, vp9_variance_fn_ptr_t *fn_ptr, int *mvjcost, int *mvcost[2], int_mv *center_mv) { const MACROBLOCKD* const xd = &x->e_mbd; MV neighbors[4] = {{ -1, 0}, {0, -1}, {0, 1}, {1, 0}}; int i, j; int this_row_offset, this_col_offset; int what_stride = x->plane[0].src.stride; int in_what_stride = xd->plane[0].pre[0].stride; uint8_t *what = x->plane[0].src.buf; uint8_t *best_address = xd->plane[0].pre[0].buf + (ref_mv->as_mv.row * xd->plane[0].pre[0].stride) + ref_mv->as_mv.col; uint8_t *check_here; unsigned int thissad; int_mv this_mv; unsigned int bestsad = INT_MAX; int_mv fcenter_mv; int *mvjsadcost = x->nmvjointsadcost; int *mvsadcost[2] = {x->nmvsadcost[0], x->nmvsadcost[1]}; fcenter_mv.as_mv.row = center_mv->as_mv.row >> 3; fcenter_mv.as_mv.col = center_mv->as_mv.col >> 3; bestsad = fn_ptr->sdf(what, what_stride, best_address, in_what_stride, 0x7fffffff) + mvsad_err_cost(&ref_mv->as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, error_per_bit); for (i = 0; i < search_range; i++) { int best_site = -1; int all_in = ((ref_mv->as_mv.row - 1) > x->mv_row_min) & ((ref_mv->as_mv.row + 1) < x->mv_row_max) & ((ref_mv->as_mv.col - 1) > x->mv_col_min) & ((ref_mv->as_mv.col + 1) < x->mv_col_max); if (all_in) { unsigned int sad_array[4]; unsigned char const *block_offset[4]; block_offset[0] = best_address - in_what_stride; block_offset[1] = best_address - 1; block_offset[2] = best_address + 1; block_offset[3] = best_address + in_what_stride; fn_ptr->sdx4df(what, what_stride, block_offset, in_what_stride, sad_array); for (j = 0; j < 4; j++) { if (sad_array[j] < bestsad) { this_mv.as_mv.row = ref_mv->as_mv.row + neighbors[j].row; this_mv.as_mv.col = ref_mv->as_mv.col + neighbors[j].col; sad_array[j] += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, error_per_bit); if (sad_array[j] < bestsad) { bestsad = sad_array[j]; best_site = j; } } } } else { for (j = 0; j < 4; j++) { this_row_offset = ref_mv->as_mv.row + neighbors[j].row; this_col_offset = ref_mv->as_mv.col + neighbors[j].col; if ((this_col_offset > x->mv_col_min) && (this_col_offset < x->mv_col_max) && (this_row_offset > x->mv_row_min) && (this_row_offset < x->mv_row_max)) { check_here = (neighbors[j].row) * in_what_stride + neighbors[j].col + best_address; thissad = fn_ptr->sdf(what, what_stride, check_here, in_what_stride, bestsad); if (thissad < bestsad) { this_mv.as_mv.row = this_row_offset; this_mv.as_mv.col = this_col_offset; thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, error_per_bit); if (thissad < bestsad) { bestsad = thissad; best_site = j; } } } } } if (best_site == -1) { break; } else { ref_mv->as_mv.row += neighbors[best_site].row; ref_mv->as_mv.col += neighbors[best_site].col; best_address += (neighbors[best_site].row) * in_what_stride + neighbors[best_site].col; } } this_mv.as_mv.row = ref_mv->as_mv.row * 8; this_mv.as_mv.col = ref_mv->as_mv.col * 8; if (bestsad < INT_MAX) return fn_ptr->vf(what, what_stride, best_address, in_what_stride, (unsigned int *)(&thissad)) + mv_err_cost(&this_mv.as_mv, ¢er_mv->as_mv, mvjcost, mvcost, x->errorperbit); else return INT_MAX; } /* This function is called when we do joint motion search in comp_inter_inter * mode. */ int vp9_refining_search_8p_c(MACROBLOCK *x, int_mv *ref_mv, int error_per_bit, int search_range, vp9_variance_fn_ptr_t *fn_ptr, int *mvjcost, int *mvcost[2], int_mv *center_mv, const uint8_t *second_pred, int w, int h) { const MACROBLOCKD* const xd = &x->e_mbd; MV neighbors[8] = {{-1, 0}, {0, -1}, {0, 1}, {1, 0}, {-1, -1}, {1, -1}, {-1, 1}, {1, 1}}; int i, j; int this_row_offset, this_col_offset; int what_stride = x->plane[0].src.stride; int in_what_stride = xd->plane[0].pre[0].stride; uint8_t *what = x->plane[0].src.buf; uint8_t *best_address = xd->plane[0].pre[0].buf + (ref_mv->as_mv.row * xd->plane[0].pre[0].stride) + ref_mv->as_mv.col; uint8_t *check_here; unsigned int thissad; int_mv this_mv; unsigned int bestsad = INT_MAX; int_mv fcenter_mv; int *mvjsadcost = x->nmvjointsadcost; int *mvsadcost[2] = {x->nmvsadcost[0], x->nmvsadcost[1]}; fcenter_mv.as_mv.row = center_mv->as_mv.row >> 3; fcenter_mv.as_mv.col = center_mv->as_mv.col >> 3; /* Get compound pred by averaging two pred blocks. */ bestsad = fn_ptr->sdaf(what, what_stride, best_address, in_what_stride, second_pred, 0x7fffffff) + mvsad_err_cost(&ref_mv->as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, error_per_bit); for (i = 0; i < search_range; i++) { int best_site = -1; for (j = 0; j < 8; j++) { this_row_offset = ref_mv->as_mv.row + neighbors[j].row; this_col_offset = ref_mv->as_mv.col + neighbors[j].col; if ((this_col_offset > x->mv_col_min) && (this_col_offset < x->mv_col_max) && (this_row_offset > x->mv_row_min) && (this_row_offset < x->mv_row_max)) { check_here = (neighbors[j].row) * in_what_stride + neighbors[j].col + best_address; /* Get compound block and use it to calculate SAD. */ thissad = fn_ptr->sdaf(what, what_stride, check_here, in_what_stride, second_pred, bestsad); if (thissad < bestsad) { this_mv.as_mv.row = this_row_offset; this_mv.as_mv.col = this_col_offset; thissad += mvsad_err_cost(&this_mv.as_mv, &fcenter_mv.as_mv, mvjsadcost, mvsadcost, error_per_bit); if (thissad < bestsad) { bestsad = thissad; best_site = j; } } } } if (best_site == -1) { break; } else { ref_mv->as_mv.row += neighbors[best_site].row; ref_mv->as_mv.col += neighbors[best_site].col; best_address += (neighbors[best_site].row) * in_what_stride + neighbors[best_site].col; } } this_mv.as_mv.row = ref_mv->as_mv.row * 8; this_mv.as_mv.col = ref_mv->as_mv.col * 8; if (bestsad < INT_MAX) { // FIXME(rbultje, yunqing): add full-pixel averaging variance functions // so we don't have to use the subpixel with xoff=0,yoff=0 here. return fn_ptr->svaf(best_address, in_what_stride, 0, 0, what, what_stride, (unsigned int *)(&thissad), second_pred) + mv_err_cost(&this_mv.as_mv, ¢er_mv->as_mv, mvjcost, mvcost, x->errorperbit); } else { return INT_MAX; } }