ref: 3ef3dcb8b67df464daf664175340b78298c8812b
dir: /vp9/encoder/vp9_mcomp.c/
/* * 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 <limits.h> #include <math.h> #include <stdio.h> #include "./vpx_config.h" #include "./vpx_dsp_rtcd.h" #include "vpx_dsp/vpx_dsp_common.h" #include "vpx_mem/vpx_mem.h" #include "vpx_ports/mem.h" #include "vp9/common/vp9_common.h" #include "vp9/common/vp9_reconinter.h" #include "vp9/encoder/vp9_encoder.h" #include "vp9/encoder/vp9_mcomp.h" // #define NEW_DIAMOND_SEARCH static INLINE const uint8_t *get_buf_from_mv(const struct buf_2d *buf, const MV *mv) { return &buf->buf[mv->row * buf->stride + mv->col]; } void vp9_set_mv_search_range(MACROBLOCK *x, const MV *mv) { int col_min = (mv->col >> 3) - MAX_FULL_PEL_VAL + (mv->col & 7 ? 1 : 0); int row_min = (mv->row >> 3) - MAX_FULL_PEL_VAL + (mv->row & 7 ? 1 : 0); int col_max = (mv->col >> 3) + MAX_FULL_PEL_VAL; int row_max = (mv->row >> 3) + MAX_FULL_PEL_VAL; col_min = VPXMAX(col_min, (MV_LOW >> 3) + 1); row_min = VPXMAX(row_min, (MV_LOW >> 3) + 1); col_max = VPXMIN(col_max, (MV_UPP >> 3) - 1); row_max = VPXMIN(row_max, (MV_UPP >> 3) - 1); // 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(int size) { int sr = 0; // Minimum search size no matter what the passed in value. size = VPXMAX(16, size); while ((size << sr) < MAX_FULL_PEL_VAL) sr++; sr = VPXMIN(sr, MAX_MVSEARCH_STEPS - 2); return sr; } static INLINE int mv_cost(const MV *mv, const int *joint_cost, int *const 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 MACROBLOCK *x, const MV *mv, const MV *ref, int error_per_bit) { const MV diff = { mv->row - ref->row, mv->col - ref->col }; return ROUND_POWER_OF_TWO(mv_cost(&diff, x->nmvjointsadcost, x->nmvsadcost) * error_per_bit, 8); } void vp9_init_dsmotion_compensation(search_site_config *cfg, int stride) { int len, ss_count = 1; cfg->ss[0].mv.col = cfg->ss[0].mv.row = 0; cfg->ss[0].offset = 0; for (len = MAX_FIRST_STEP; len > 0; len /= 2) { // Generate offsets for 4 search sites per step. const MV ss_mvs[] = {{-len, 0}, {len, 0}, {0, -len}, {0, len}}; int i; for (i = 0; i < 4; ++i) { search_site *const ss = &cfg->ss[ss_count++]; ss->mv = ss_mvs[i]; ss->offset = ss->mv.row * stride + ss->mv.col; } } cfg->ss_count = ss_count; cfg->searches_per_step = 4; } void vp9_init3smotion_compensation(search_site_config *cfg, int stride) { int len, ss_count = 1; cfg->ss[0].mv.col = cfg->ss[0].mv.row = 0; cfg->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 = &cfg->ss[ss_count++]; ss->mv = ss_mvs[i]; ss->offset = ss->mv.row * stride + ss->mv.col; } } cfg->ss_count = ss_count; cfg->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) // convert motion vector component to offset for sv[a]f calc static INLINE int sp(int x) { return x & 7; } static INLINE const uint8_t *pre(const uint8_t *buf, int stride, int r, int c) { return &buf[(r >> 3) * stride + (c >> 3)]; } /* checks if (r, c) has better score than previous best */ #define CHECK_BETTER(v, r, c) \ if (c >= minc && c <= maxc && r >= minr && r <= maxr) { \ if (second_pred == NULL) \ thismse = vfp->svf(pre(y, y_stride, r, c), y_stride, sp(c), sp(r), z, \ src_stride, &sse); \ else \ thismse = vfp->svaf(pre(y, y_stride, r, c), y_stride, sp(c), sp(r), \ z, src_stride, &sse, second_pred); \ if ((v = MVC(r, c) + thismse) < besterr) { \ besterr = v; \ br = r; \ bc = c; \ *distortion = thismse; \ *sse1 = sse; \ } \ } else { \ 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; \ } \ } \ } // TODO(yunqingwang): SECOND_LEVEL_CHECKS_BEST was a rewrote of // SECOND_LEVEL_CHECKS, and SECOND_LEVEL_CHECKS should be rewritten // later in the same way. #define SECOND_LEVEL_CHECKS_BEST \ { \ unsigned int second; \ int br0 = br; \ int bc0 = bc; \ assert(tr == br || tc == bc); \ if (tr == br && tc != bc) { \ kc = bc - tc; \ } else if (tr != br && tc == bc) { \ kr = br - tr; \ } \ CHECK_BETTER(second, br0 + kr, bc0); \ CHECK_BETTER(second, br0, bc0 + kc); \ if (br0 != br || bc0 != bc) { \ CHECK_BETTER(second, br0 + kr, bc0 + kc); \ } \ } #define SETUP_SUBPEL_SEARCH \ const uint8_t *const z = x->plane[0].src.buf; \ const int src_stride = x->plane[0].src.stride; \ const MACROBLOCKD *xd = &x->e_mbd; \ unsigned int besterr = INT_MAX; \ unsigned int sse; \ unsigned int whichdir; \ int thismse; \ const unsigned int halfiters = iters_per_step; \ const unsigned int quarteriters = iters_per_step; \ const 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; \ const uint8_t *const y = xd->plane[0].pre[0].buf; \ \ 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 = VPXMAX(x->mv_col_min * 8, ref_mv->col - MV_MAX); \ const int maxc = VPXMIN(x->mv_col_max * 8, ref_mv->col + MV_MAX); \ const int minr = VPXMAX(x->mv_row_min * 8, ref_mv->row - MV_MAX); \ const int maxr = VPXMIN(x->mv_row_max * 8, ref_mv->row + MV_MAX); \ int tr = br; \ int tc = bc; \ \ bestmv->row *= 8; \ bestmv->col *= 8; static unsigned int setup_center_error(const MACROBLOCKD *xd, const MV *bestmv, const MV *ref_mv, int error_per_bit, const vp9_variance_fn_ptr_t *vfp, const uint8_t *const src, const int src_stride, const uint8_t *const y, int y_stride, const uint8_t *second_pred, int w, int h, int offset, int *mvjcost, int *mvcost[2], unsigned int *sse1, int *distortion) { unsigned int besterr; #if CONFIG_VP9_HIGHBITDEPTH if (second_pred != NULL) { if (xd->cur_buf->flags & YV12_FLAG_HIGHBITDEPTH) { DECLARE_ALIGNED(16, uint16_t, comp_pred16[64 * 64]); vpx_highbd_comp_avg_pred(comp_pred16, second_pred, w, h, y + offset, y_stride); besterr = vfp->vf(CONVERT_TO_BYTEPTR(comp_pred16), w, src, src_stride, sse1); } else { DECLARE_ALIGNED(16, uint8_t, comp_pred[64 * 64]); vpx_comp_avg_pred(comp_pred, second_pred, w, h, y + offset, y_stride); besterr = vfp->vf(comp_pred, w, src, src_stride, sse1); } } else { besterr = vfp->vf(y + offset, y_stride, src, src_stride, sse1); } *distortion = besterr; besterr += mv_err_cost(bestmv, ref_mv, mvjcost, mvcost, error_per_bit); #else (void) xd; if (second_pred != NULL) { DECLARE_ALIGNED(16, uint8_t, comp_pred[64 * 64]); vpx_comp_avg_pred(comp_pred, second_pred, w, h, y + offset, y_stride); besterr = vfp->vf(comp_pred, w, src, src_stride, sse1); } else { besterr = vfp->vf(y + offset, y_stride, src, src_stride, sse1); } *distortion = besterr; besterr += mv_err_cost(bestmv, ref_mv, mvjcost, mvcost, error_per_bit); #endif // CONFIG_VP9_HIGHBITDEPTH return besterr; } static INLINE int divide_and_round(const int n, const int d) { return ((n < 0) ^ (d < 0)) ? ((n - d / 2) / d) : ((n + d / 2) / d); } static INLINE int is_cost_list_wellbehaved(int *cost_list) { return cost_list[0] < cost_list[1] && cost_list[0] < cost_list[2] && cost_list[0] < cost_list[3] && cost_list[0] < cost_list[4]; } // Returns surface minima estimate at given precision in 1/2^n bits. // Assume a model for the cost surface: S = A(x - x0)^2 + B(y - y0)^2 + C // For a given set of costs S0, S1, S2, S3, S4 at points // (y, x) = (0, 0), (0, -1), (1, 0), (0, 1) and (-1, 0) respectively, // the solution for the location of the minima (x0, y0) is given by: // x0 = 1/2 (S1 - S3)/(S1 + S3 - 2*S0), // y0 = 1/2 (S4 - S2)/(S4 + S2 - 2*S0). // The code below is an integerized version of that. static void get_cost_surf_min(int *cost_list, int *ir, int *ic, int bits) { *ic = divide_and_round((cost_list[1] - cost_list[3]) * (1 << (bits - 1)), (cost_list[1] - 2 * cost_list[0] + cost_list[3])); *ir = divide_and_round((cost_list[4] - cost_list[2]) * (1 << (bits - 1)), (cost_list[4] - 2 * cost_list[0] + cost_list[2])); } int vp9_find_best_sub_pixel_tree_pruned_evenmore( const 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 *cost_list, int *mvjcost, int *mvcost[2], int *distortion, unsigned int *sse1, const uint8_t *second_pred, int w, int h) { SETUP_SUBPEL_SEARCH; besterr = setup_center_error(xd, bestmv, ref_mv, error_per_bit, vfp, z, src_stride, y, y_stride, second_pred, w, h, offset, mvjcost, mvcost, sse1, distortion); (void) halfiters; (void) quarteriters; (void) eighthiters; (void) whichdir; (void) allow_hp; (void) forced_stop; (void) hstep; if (cost_list && cost_list[0] != INT_MAX && cost_list[1] != INT_MAX && cost_list[2] != INT_MAX && cost_list[3] != INT_MAX && cost_list[4] != INT_MAX && is_cost_list_wellbehaved(cost_list)) { int ir, ic; unsigned int minpt; get_cost_surf_min(cost_list, &ir, &ic, 2); if (ir != 0 || ic != 0) { CHECK_BETTER(minpt, tr + 2 * ir, tc + 2 * ic); } } else { 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; } } 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_pruned_more(const 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 *cost_list, int *mvjcost, int *mvcost[2], int *distortion, unsigned int *sse1, const uint8_t *second_pred, int w, int h) { SETUP_SUBPEL_SEARCH; besterr = setup_center_error(xd, bestmv, ref_mv, error_per_bit, vfp, z, src_stride, y, y_stride, second_pred, w, h, offset, mvjcost, mvcost, sse1, distortion); if (cost_list && cost_list[0] != INT_MAX && cost_list[1] != INT_MAX && cost_list[2] != INT_MAX && cost_list[3] != INT_MAX && cost_list[4] != INT_MAX && is_cost_list_wellbehaved(cost_list)) { unsigned int minpt; int ir, ic; get_cost_surf_min(cost_list, &ir, &ic, 1); if (ir != 0 || ic != 0) { CHECK_BETTER(minpt, tr + ir * hstep, tc + ic * hstep); } } else { FIRST_LEVEL_CHECKS; if (halfiters > 1) { SECOND_LEVEL_CHECKS; } } // 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) { tr = br; tc = bc; hstep >>= 1; FIRST_LEVEL_CHECKS; if (quarteriters > 1) { SECOND_LEVEL_CHECKS; } } if (allow_hp && vp9_use_mv_hp(ref_mv) && forced_stop == 0) { tr = br; tc = bc; hstep >>= 1; FIRST_LEVEL_CHECKS; if (eighthiters > 1) { SECOND_LEVEL_CHECKS; } } // These lines insure static analysis doesn't warn that // tr and tc aren't used after the above point. (void) tr; (void) tc; 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_pruned(const 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 *cost_list, int *mvjcost, int *mvcost[2], int *distortion, unsigned int *sse1, const uint8_t *second_pred, int w, int h) { SETUP_SUBPEL_SEARCH; besterr = setup_center_error(xd, bestmv, ref_mv, error_per_bit, vfp, z, src_stride, y, y_stride, second_pred, w, h, offset, mvjcost, mvcost, sse1, distortion); if (cost_list && cost_list[0] != INT_MAX && cost_list[1] != INT_MAX && cost_list[2] != INT_MAX && cost_list[3] != INT_MAX && cost_list[4] != INT_MAX) { unsigned int left, right, up, down, diag; whichdir = (cost_list[1] < cost_list[3] ? 0 : 1) + (cost_list[2] < cost_list[4] ? 0 : 2); switch (whichdir) { case 0: CHECK_BETTER(left, tr, tc - hstep); CHECK_BETTER(down, tr + hstep, tc); CHECK_BETTER(diag, tr + hstep, tc - hstep); break; case 1: CHECK_BETTER(right, tr, tc + hstep); CHECK_BETTER(down, tr + hstep, tc); CHECK_BETTER(diag, tr + hstep, tc + hstep); break; case 2: CHECK_BETTER(left, tr, tc - hstep); CHECK_BETTER(up, tr - hstep, tc); CHECK_BETTER(diag, tr - hstep, tc - hstep); break; case 3: CHECK_BETTER(right, tr, tc + hstep); CHECK_BETTER(up, tr - hstep, tc); CHECK_BETTER(diag, tr - hstep, tc + hstep); break; } } else { 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; } // These lines insure static analysis doesn't warn that // tr and tc aren't used after the above point. (void) tr; (void) tc; 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; } static const MV search_step_table[12] = { // left, right, up, down {0, -4}, {0, 4}, {-4, 0}, {4, 0}, {0, -2}, {0, 2}, {-2, 0}, {2, 0}, {0, -1}, {0, 1}, {-1, 0}, {1, 0} }; int vp9_find_best_sub_pixel_tree(const 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 *cost_list, int *mvjcost, int *mvcost[2], int *distortion, unsigned int *sse1, const uint8_t *second_pred, int w, int h) { const uint8_t *const z = x->plane[0].src.buf; const uint8_t *const src_address = z; const int src_stride = x->plane[0].src.stride; const MACROBLOCKD *xd = &x->e_mbd; unsigned int besterr = INT_MAX; unsigned int sse; int thismse; const int y_stride = xd->plane[0].pre[0].stride; const int offset = bestmv->row * y_stride + bestmv->col; const uint8_t *const y = xd->plane[0].pre[0].buf; int rr = ref_mv->row; int rc = ref_mv->col; int br = bestmv->row * 8; int bc = bestmv->col * 8; int hstep = 4; int iter, round = 3 - forced_stop; const int minc = VPXMAX(x->mv_col_min * 8, ref_mv->col - MV_MAX); const int maxc = VPXMIN(x->mv_col_max * 8, ref_mv->col + MV_MAX); const int minr = VPXMAX(x->mv_row_min * 8, ref_mv->row - MV_MAX); const int maxr = VPXMIN(x->mv_row_max * 8, ref_mv->row + MV_MAX); int tr = br; int tc = bc; const MV *search_step = search_step_table; int idx, best_idx = -1; unsigned int cost_array[5]; int kr, kc; if (!(allow_hp && vp9_use_mv_hp(ref_mv))) if (round == 3) round = 2; bestmv->row *= 8; bestmv->col *= 8; besterr = setup_center_error(xd, bestmv, ref_mv, error_per_bit, vfp, z, src_stride, y, y_stride, second_pred, w, h, offset, mvjcost, mvcost, sse1, distortion); (void) cost_list; // to silence compiler warning for (iter = 0; iter < round; ++iter) { // Check vertical and horizontal sub-pixel positions. for (idx = 0; idx < 4; ++idx) { tr = br + search_step[idx].row; tc = bc + search_step[idx].col; if (tc >= minc && tc <= maxc && tr >= minr && tr <= maxr) { const uint8_t *const pre_address = y + (tr >> 3) * y_stride + (tc >> 3); MV this_mv; this_mv.row = tr; this_mv.col = tc; if (second_pred == NULL) thismse = vfp->svf(pre_address, y_stride, sp(tc), sp(tr), src_address, src_stride, &sse); else thismse = vfp->svaf(pre_address, y_stride, sp(tc), sp(tr), src_address, src_stride, &sse, second_pred); cost_array[idx] = thismse + mv_err_cost(&this_mv, ref_mv, mvjcost, mvcost, error_per_bit); if (cost_array[idx] < besterr) { best_idx = idx; besterr = cost_array[idx]; *distortion = thismse; *sse1 = sse; } } else { cost_array[idx] = INT_MAX; } } // Check diagonal sub-pixel position kc = (cost_array[0] <= cost_array[1] ? -hstep : hstep); kr = (cost_array[2] <= cost_array[3] ? -hstep : hstep); tc = bc + kc; tr = br + kr; if (tc >= minc && tc <= maxc && tr >= minr && tr <= maxr) { const uint8_t *const pre_address = y + (tr >> 3) * y_stride + (tc >> 3); MV this_mv = {tr, tc}; if (second_pred == NULL) thismse = vfp->svf(pre_address, y_stride, sp(tc), sp(tr), src_address, src_stride, &sse); else thismse = vfp->svaf(pre_address, y_stride, sp(tc), sp(tr), src_address, src_stride, &sse, second_pred); cost_array[4] = thismse + mv_err_cost(&this_mv, ref_mv, mvjcost, mvcost, error_per_bit); if (cost_array[4] < besterr) { best_idx = 4; besterr = cost_array[4]; *distortion = thismse; *sse1 = sse; } } else { cost_array[idx] = INT_MAX; } if (best_idx < 4 && best_idx >= 0) { br += search_step[best_idx].row; bc += search_step[best_idx].col; } else if (best_idx == 4) { br = tr; bc = tc; } if (iters_per_step > 1 && best_idx != -1) SECOND_LEVEL_CHECKS_BEST; tr = br; tc = bc; search_step += 4; hstep >>= 1; best_idx = -1; } // Each subsequent iteration checks at least one point in common with // the last iteration could be 2 ( if diag selected) 1/4 pel // These lines insure static analysis doesn't warn that // tr and tc aren't used after the above point. (void) tr; (void) tc; 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 CHECK_BETTER static INLINE int check_bounds(const MACROBLOCK *x, int row, int col, int range) { return ((row - range) >= x->mv_row_min) & ((row + range) <= x->mv_row_max) & ((col - range) >= x->mv_col_min) & ((col + range) <= x->mv_col_max); } static INLINE int is_mv_in(const MACROBLOCK *x, const MV *mv) { return (mv->col >= x->mv_col_min) && (mv->col <= x->mv_col_max) && (mv->row >= x->mv_row_min) && (mv->row <= x->mv_row_max); } #define CHECK_BETTER \ {\ if (thissad < bestsad) {\ if (use_mvcost) \ thissad += mvsad_err_cost(x, &this_mv, &fcenter_mv, sad_per_bit);\ if (thissad < bestsad) {\ bestsad = thissad;\ best_site = i;\ }\ }\ } #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 // Calculate and return a sad+mvcost list around an integer best pel. static INLINE void calc_int_cost_list(const MACROBLOCK *x, const MV *ref_mv, int sadpb, const vp9_variance_fn_ptr_t *fn_ptr, const MV *best_mv, int *cost_list) { static const MV neighbors[4] = {{0, -1}, {1, 0}, {0, 1}, {-1, 0}}; const struct buf_2d *const what = &x->plane[0].src; const struct buf_2d *const in_what = &x->e_mbd.plane[0].pre[0]; const MV fcenter_mv = {ref_mv->row >> 3, ref_mv->col >> 3}; int br = best_mv->row; int bc = best_mv->col; MV this_mv; int i; unsigned int sse; this_mv.row = br; this_mv.col = bc; cost_list[0] = fn_ptr->vf(what->buf, what->stride, get_buf_from_mv(in_what, &this_mv), in_what->stride, &sse) + mvsad_err_cost(x, &this_mv, &fcenter_mv, sadpb); if (check_bounds(x, br, bc, 1)) { for (i = 0; i < 4; i++) { const MV this_mv = {br + neighbors[i].row, bc + neighbors[i].col}; cost_list[i + 1] = fn_ptr->vf(what->buf, what->stride, get_buf_from_mv(in_what, &this_mv), in_what->stride, &sse) + // mvsad_err_cost(x, &this_mv, &fcenter_mv, sadpb); mv_err_cost(&this_mv, &fcenter_mv, x->nmvjointcost, x->mvcost, x->errorperbit); } } else { for (i = 0; i < 4; i++) { const MV this_mv = {br + neighbors[i].row, bc + neighbors[i].col}; if (!is_mv_in(x, &this_mv)) cost_list[i + 1] = INT_MAX; else cost_list[i + 1] = fn_ptr->vf(what->buf, what->stride, get_buf_from_mv(in_what, &this_mv), in_what->stride, &sse) + // mvsad_err_cost(x, &this_mv, &fcenter_mv, sadpb); mv_err_cost(&this_mv, &fcenter_mv, x->nmvjointcost, x->mvcost, x->errorperbit); } } } // 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(const MACROBLOCK *x, MV *ref_mv, int search_param, int sad_per_bit, int do_init_search, int *cost_list, 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, s, t; const struct buf_2d *const what = &x->plane[0].src; const struct buf_2d *const in_what = &xd->plane[0].pre[0]; int br, bc; int bestsad = INT_MAX; int thissad; int k = -1; const MV fcenter_mv = {center_mv->row >> 3, center_mv->col >> 3}; int best_init_s = search_param_to_steps[search_param]; // 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 bestsad = vfp->sdf(what->buf, what->stride, get_buf_from_mv(in_what, ref_mv), in_what->stride) + mvsad_err_cost(x, ref_mv, &fcenter_mv, 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) { int best_site = -1; if (check_bounds(x, br, bc, 1 << t)) { for (i = 0; i < num_candidates[t]; i++) { const MV this_mv = {br + candidates[t][i].row, bc + candidates[t][i].col}; thissad = vfp->sdf(what->buf, what->stride, get_buf_from_mv(in_what, &this_mv), in_what->stride); CHECK_BETTER } } else { for (i = 0; i < num_candidates[t]; i++) { const MV this_mv = {br + candidates[t][i].row, bc + candidates[t][i].col}; if (!is_mv_in(x, &this_mv)) continue; thissad = vfp->sdf(what->buf, what->stride, get_buf_from_mv(in_what, &this_mv), in_what->stride); 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) { int best_site = -1; s = best_init_s; do { // No need to search all 6 points the 1st time if initial search was used if (!do_init_search || s != best_init_s) { if (check_bounds(x, br, bc, 1 << s)) { for (i = 0; i < num_candidates[s]; i++) { const MV this_mv = {br + candidates[s][i].row, bc + candidates[s][i].col}; thissad = vfp->sdf(what->buf, what->stride, get_buf_from_mv(in_what, &this_mv), in_what->stride); CHECK_BETTER } } else { for (i = 0; i < num_candidates[s]; i++) { const MV this_mv = {br + candidates[s][i].row, bc + candidates[s][i].col}; if (!is_mv_in(x, &this_mv)) continue; thissad = vfp->sdf(what->buf, what->stride, get_buf_from_mv(in_what, &this_mv), in_what->stride); 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; next_chkpts_indices[0] = (k == 0) ? num_candidates[s] - 1 : k - 1; next_chkpts_indices[1] = k; next_chkpts_indices[2] = (k == num_candidates[s] - 1) ? 0 : k + 1; if (check_bounds(x, br, bc, 1 << s)) { for (i = 0; i < PATTERN_CANDIDATES_REF; i++) { const MV this_mv = {br + candidates[s][next_chkpts_indices[i]].row, bc + candidates[s][next_chkpts_indices[i]].col}; thissad = vfp->sdf(what->buf, what->stride, get_buf_from_mv(in_what, &this_mv), in_what->stride); CHECK_BETTER } } else { for (i = 0; i < PATTERN_CANDIDATES_REF; i++) { const MV this_mv = {br + candidates[s][next_chkpts_indices[i]].row, bc + candidates[s][next_chkpts_indices[i]].col}; if (!is_mv_in(x, &this_mv)) continue; thissad = vfp->sdf(what->buf, what->stride, get_buf_from_mv(in_what, &this_mv), in_what->stride); 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--); } // Returns the one-away integer pel sad values around the best as follows: // cost_list[0]: cost at the best integer pel // cost_list[1]: cost at delta {0, -1} (left) from the best integer pel // cost_list[2]: cost at delta { 1, 0} (bottom) from the best integer pel // cost_list[3]: cost at delta { 0, 1} (right) from the best integer pel // cost_list[4]: cost at delta {-1, 0} (top) from the best integer pel if (cost_list) { const MV best_mv = { br, bc }; calc_int_cost_list(x, &fcenter_mv, sad_per_bit, vfp, &best_mv, cost_list); } best_mv->row = br; best_mv->col = bc; return bestsad; } // A specialized function where the smallest scale search candidates // are 4 1-away neighbors, and cost_list is non-null // TODO(debargha): Merge this function with the one above. Also remove // use_mvcost option since it is always 1, to save unnecessary branches. static int vp9_pattern_search_sad(const MACROBLOCK *x, MV *ref_mv, int search_param, int sad_per_bit, int do_init_search, int *cost_list, 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, s, t; const struct buf_2d *const what = &x->plane[0].src; const struct buf_2d *const in_what = &xd->plane[0].pre[0]; int br, bc; int bestsad = INT_MAX; int thissad; int k = -1; const MV fcenter_mv = {center_mv->row >> 3, center_mv->col >> 3}; int best_init_s = search_param_to_steps[search_param]; // 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; if (cost_list != NULL) { cost_list[0] = cost_list[1] = cost_list[2] = cost_list[3] = cost_list[4] = INT_MAX; } // Work out the start point for the search bestsad = vfp->sdf(what->buf, what->stride, get_buf_from_mv(in_what, ref_mv), in_what->stride) + mvsad_err_cost(x, ref_mv, &fcenter_mv, 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) { int best_site = -1; if (check_bounds(x, br, bc, 1 << t)) { for (i = 0; i < num_candidates[t]; i++) { const MV this_mv = {br + candidates[t][i].row, bc + candidates[t][i].col}; thissad = vfp->sdf(what->buf, what->stride, get_buf_from_mv(in_what, &this_mv), in_what->stride); CHECK_BETTER } } else { for (i = 0; i < num_candidates[t]; i++) { const MV this_mv = {br + candidates[t][i].row, bc + candidates[t][i].col}; if (!is_mv_in(x, &this_mv)) continue; thissad = vfp->sdf(what->buf, what->stride, get_buf_from_mv(in_what, &this_mv), in_what->stride); 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) { int do_sad = (num_candidates[0] == 4 && cost_list != NULL); int best_site = -1; s = best_init_s; for (; s >= do_sad; s--) { if (!do_init_search || s != best_init_s) { if (check_bounds(x, br, bc, 1 << s)) { for (i = 0; i < num_candidates[s]; i++) { const MV this_mv = {br + candidates[s][i].row, bc + candidates[s][i].col}; thissad = vfp->sdf(what->buf, what->stride, get_buf_from_mv(in_what, &this_mv), in_what->stride); CHECK_BETTER } } else { for (i = 0; i < num_candidates[s]; i++) { const MV this_mv = {br + candidates[s][i].row, bc + candidates[s][i].col}; if (!is_mv_in(x, &this_mv)) continue; thissad = vfp->sdf(what->buf, what->stride, get_buf_from_mv(in_what, &this_mv), in_what->stride); 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; next_chkpts_indices[0] = (k == 0) ? num_candidates[s] - 1 : k - 1; next_chkpts_indices[1] = k; next_chkpts_indices[2] = (k == num_candidates[s] - 1) ? 0 : k + 1; if (check_bounds(x, br, bc, 1 << s)) { for (i = 0; i < PATTERN_CANDIDATES_REF; i++) { const MV this_mv = {br + candidates[s][next_chkpts_indices[i]].row, bc + candidates[s][next_chkpts_indices[i]].col}; thissad = vfp->sdf(what->buf, what->stride, get_buf_from_mv(in_what, &this_mv), in_what->stride); CHECK_BETTER } } else { for (i = 0; i < PATTERN_CANDIDATES_REF; i++) { const MV this_mv = {br + candidates[s][next_chkpts_indices[i]].row, bc + candidates[s][next_chkpts_indices[i]].col}; if (!is_mv_in(x, &this_mv)) continue; thissad = vfp->sdf(what->buf, what->stride, get_buf_from_mv(in_what, &this_mv), in_what->stride); 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); } // Note: If we enter the if below, then cost_list must be non-NULL. if (s == 0) { cost_list[0] = bestsad; if (!do_init_search || s != best_init_s) { if (check_bounds(x, br, bc, 1 << s)) { for (i = 0; i < num_candidates[s]; i++) { const MV this_mv = {br + candidates[s][i].row, bc + candidates[s][i].col}; cost_list[i + 1] = thissad = vfp->sdf(what->buf, what->stride, get_buf_from_mv(in_what, &this_mv), in_what->stride); CHECK_BETTER } } else { for (i = 0; i < num_candidates[s]; i++) { const MV this_mv = {br + candidates[s][i].row, bc + candidates[s][i].col}; if (!is_mv_in(x, &this_mv)) continue; cost_list[i + 1] = thissad = vfp->sdf(what->buf, what->stride, get_buf_from_mv(in_what, &this_mv), in_what->stride); CHECK_BETTER } } if (best_site != -1) { br += candidates[s][best_site].row; bc += candidates[s][best_site].col; k = best_site; } } while (best_site != -1) { int next_chkpts_indices[PATTERN_CANDIDATES_REF]; best_site = -1; next_chkpts_indices[0] = (k == 0) ? num_candidates[s] - 1 : k - 1; next_chkpts_indices[1] = k; next_chkpts_indices[2] = (k == num_candidates[s] - 1) ? 0 : k + 1; cost_list[1] = cost_list[2] = cost_list[3] = cost_list[4] = INT_MAX; cost_list[((k + 2) % 4) + 1] = cost_list[0]; cost_list[0] = bestsad; if (check_bounds(x, br, bc, 1 << s)) { for (i = 0; i < PATTERN_CANDIDATES_REF; i++) { const MV this_mv = {br + candidates[s][next_chkpts_indices[i]].row, bc + candidates[s][next_chkpts_indices[i]].col}; cost_list[next_chkpts_indices[i] + 1] = thissad = vfp->sdf(what->buf, what->stride, get_buf_from_mv(in_what, &this_mv), in_what->stride); CHECK_BETTER } } else { for (i = 0; i < PATTERN_CANDIDATES_REF; i++) { const MV this_mv = {br + candidates[s][next_chkpts_indices[i]].row, bc + candidates[s][next_chkpts_indices[i]].col}; if (!is_mv_in(x, &this_mv)) { cost_list[next_chkpts_indices[i] + 1] = INT_MAX; continue; } cost_list[next_chkpts_indices[i] + 1] = thissad = vfp->sdf(what->buf, what->stride, get_buf_from_mv(in_what, &this_mv), in_what->stride); CHECK_BETTER } } if (best_site != -1) { k = next_chkpts_indices[best_site]; br += candidates[s][k].row; bc += candidates[s][k].col; } } } } // Returns the one-away integer pel sad values around the best as follows: // cost_list[0]: sad at the best integer pel // cost_list[1]: sad at delta {0, -1} (left) from the best integer pel // cost_list[2]: sad at delta { 1, 0} (bottom) from the best integer pel // cost_list[3]: sad at delta { 0, 1} (right) from the best integer pel // cost_list[4]: sad at delta {-1, 0} (top) from the best integer pel if (cost_list) { static const MV neighbors[4] = {{0, -1}, {1, 0}, {0, 1}, {-1, 0}}; if (cost_list[0] == INT_MAX) { cost_list[0] = bestsad; if (check_bounds(x, br, bc, 1)) { for (i = 0; i < 4; i++) { const MV this_mv = { br + neighbors[i].row, bc + neighbors[i].col }; cost_list[i + 1] = vfp->sdf(what->buf, what->stride, get_buf_from_mv(in_what, &this_mv), in_what->stride); } } else { for (i = 0; i < 4; i++) { const MV this_mv = {br + neighbors[i].row, bc + neighbors[i].col}; if (!is_mv_in(x, &this_mv)) cost_list[i + 1] = INT_MAX; else cost_list[i + 1] = vfp->sdf(what->buf, what->stride, get_buf_from_mv(in_what, &this_mv), in_what->stride); } } } else { if (use_mvcost) { for (i = 0; i < 4; i++) { const MV this_mv = {br + neighbors[i].row, bc + neighbors[i].col}; if (cost_list[i + 1] != INT_MAX) { cost_list[i + 1] += mvsad_err_cost(x, &this_mv, &fcenter_mv, sad_per_bit); } } } } } best_mv->row = br; best_mv->col = bc; return bestsad; } int vp9_get_mvpred_var(const MACROBLOCK *x, const MV *best_mv, const MV *center_mv, const vp9_variance_fn_ptr_t *vfp, int use_mvcost) { const MACROBLOCKD *const xd = &x->e_mbd; const struct buf_2d *const what = &x->plane[0].src; const struct buf_2d *const in_what = &xd->plane[0].pre[0]; const MV mv = {best_mv->row * 8, best_mv->col * 8}; unsigned int unused; return vfp->vf(what->buf, what->stride, get_buf_from_mv(in_what, best_mv), in_what->stride, &unused) + (use_mvcost ? mv_err_cost(&mv, center_mv, x->nmvjointcost, x->mvcost, x->errorperbit) : 0); } int vp9_get_mvpred_av_var(const MACROBLOCK *x, const MV *best_mv, const MV *center_mv, const uint8_t *second_pred, const vp9_variance_fn_ptr_t *vfp, int use_mvcost) { const MACROBLOCKD *const xd = &x->e_mbd; const struct buf_2d *const what = &x->plane[0].src; const struct buf_2d *const in_what = &xd->plane[0].pre[0]; const MV mv = {best_mv->row * 8, best_mv->col * 8}; unsigned int unused; return vfp->svaf(get_buf_from_mv(in_what, best_mv), in_what->stride, 0, 0, what->buf, what->stride, &unused, second_pred) + (use_mvcost ? mv_err_cost(&mv, center_mv, x->nmvjointcost, x->mvcost, x->errorperbit) : 0); } static int hex_search(const MACROBLOCK *x, MV *ref_mv, int search_param, int sad_per_bit, int do_init_search, int *cost_list, 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, cost_list, vfp, use_mvcost, center_mv, best_mv, hex_num_candidates, hex_candidates); } static int bigdia_search(const MACROBLOCK *x, MV *ref_mv, int search_param, int sad_per_bit, int do_init_search, int *cost_list, 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_sad(x, ref_mv, search_param, sad_per_bit, do_init_search, cost_list, vfp, use_mvcost, center_mv, best_mv, bigdia_num_candidates, bigdia_candidates); } static int square_search(const MACROBLOCK *x, MV *ref_mv, int search_param, int sad_per_bit, int do_init_search, int *cost_list, 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, cost_list, vfp, use_mvcost, center_mv, best_mv, square_num_candidates, square_candidates); } static int fast_hex_search(const MACROBLOCK *x, MV *ref_mv, int search_param, int sad_per_bit, int do_init_search, // must be zero for fast_hex int *cost_list, const vp9_variance_fn_ptr_t *vfp, int use_mvcost, const MV *center_mv, MV *best_mv) { return hex_search(x, ref_mv, VPXMAX(MAX_MVSEARCH_STEPS - 2, search_param), sad_per_bit, do_init_search, cost_list, vfp, use_mvcost, center_mv, best_mv); } static int fast_dia_search(const MACROBLOCK *x, MV *ref_mv, int search_param, int sad_per_bit, int do_init_search, int *cost_list, const vp9_variance_fn_ptr_t *vfp, int use_mvcost, const MV *center_mv, MV *best_mv) { return bigdia_search( x, ref_mv, VPXMAX(MAX_MVSEARCH_STEPS - 2, search_param), sad_per_bit, do_init_search, cost_list, vfp, use_mvcost, center_mv, best_mv); } #undef CHECK_BETTER int vp9_full_range_search_c(const MACROBLOCK *x, const search_site_config *cfg, MV *ref_mv, MV *best_mv, int search_param, int sad_per_bit, int *num00, const vp9_variance_fn_ptr_t *fn_ptr, const MV *center_mv) { const MACROBLOCKD *const xd = &x->e_mbd; const struct buf_2d *const what = &x->plane[0].src; const struct buf_2d *const in_what = &xd->plane[0].pre[0]; const int range = 64; const MV fcenter_mv = {center_mv->row >> 3, center_mv->col >> 3}; unsigned int best_sad = INT_MAX; int r, c, i; int start_col, end_col, start_row, end_row; // The cfg and search_param parameters are not used in this search variant (void)cfg; (void)search_param; clamp_mv(ref_mv, x->mv_col_min, x->mv_col_max, x->mv_row_min, x->mv_row_max); *best_mv = *ref_mv; *num00 = 11; best_sad = fn_ptr->sdf(what->buf, what->stride, get_buf_from_mv(in_what, ref_mv), in_what->stride) + mvsad_err_cost(x, ref_mv, &fcenter_mv, sad_per_bit); start_row = VPXMAX(-range, x->mv_row_min - ref_mv->row); start_col = VPXMAX(-range, x->mv_col_min - ref_mv->col); end_row = VPXMIN(range, x->mv_row_max - ref_mv->row); end_col = VPXMIN(range, x->mv_col_max - ref_mv->col); for (r = start_row; r <= end_row; ++r) { for (c = start_col; c <= end_col; c += 4) { if (c + 3 <= end_col) { unsigned int sads[4]; const uint8_t *addrs[4]; for (i = 0; i < 4; ++i) { const MV mv = {ref_mv->row + r, ref_mv->col + c + i}; addrs[i] = get_buf_from_mv(in_what, &mv); } fn_ptr->sdx4df(what->buf, what->stride, addrs, in_what->stride, sads); for (i = 0; i < 4; ++i) { if (sads[i] < best_sad) { const MV mv = {ref_mv->row + r, ref_mv->col + c + i}; const unsigned int sad = sads[i] + mvsad_err_cost(x, &mv, &fcenter_mv, sad_per_bit); if (sad < best_sad) { best_sad = sad; *best_mv = mv; } } } } else { for (i = 0; i < end_col - c; ++i) { const MV mv = {ref_mv->row + r, ref_mv->col + c + i}; unsigned int sad = fn_ptr->sdf(what->buf, what->stride, get_buf_from_mv(in_what, &mv), in_what->stride); if (sad < best_sad) { sad += mvsad_err_cost(x, &mv, &fcenter_mv, sad_per_bit); if (sad < best_sad) { best_sad = sad; *best_mv = mv; } } } } } } return best_sad; } int vp9_diamond_search_sad_c(const MACROBLOCK *x, const search_site_config *cfg, MV *ref_mv, MV *best_mv, int search_param, int sad_per_bit, int *num00, const vp9_variance_fn_ptr_t *fn_ptr, const MV *center_mv) { int i, j, step; const MACROBLOCKD *const xd = &x->e_mbd; uint8_t *what = x->plane[0].src.buf; const int what_stride = x->plane[0].src.stride; const uint8_t *in_what; const int in_what_stride = xd->plane[0].pre[0].stride; const uint8_t *best_address; unsigned int bestsad = INT_MAX; int best_site = 0; int last_site = 0; int ref_row; int ref_col; // 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... const search_site *ss = &cfg->ss[search_param * cfg->searches_per_step]; const int tot_steps = (cfg->ss_count / cfg->searches_per_step) - search_param; const MV fcenter_mv = {center_mv->row >> 3, center_mv->col >> 3}; clamp_mv(ref_mv, x->mv_col_min, x->mv_col_max, x->mv_row_min, x->mv_row_max); ref_row = ref_mv->row; ref_col = ref_mv->col; *num00 = 0; best_mv->row = ref_row; best_mv->col = ref_col; // Work out the start point for the search in_what = xd->plane[0].pre[0].buf + ref_row * in_what_stride + ref_col; best_address = in_what; // Check the starting position bestsad = fn_ptr->sdf(what, what_stride, in_what, in_what_stride) + mvsad_err_cost(x, best_mv, &fcenter_mv, sad_per_bit); 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->row + ss[i].mv.row) > x->mv_row_min); all_in &= ((best_mv->row + ss[i + 1].mv.row) < x->mv_row_max); all_in &= ((best_mv->col + ss[i + 2].mv.col) > x->mv_col_min); all_in &= ((best_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 < cfg->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) { const MV this_mv = {best_mv->row + ss[i].mv.row, best_mv->col + ss[i].mv.col}; sad_array[t] += mvsad_err_cost(x, &this_mv, &fcenter_mv, sad_per_bit); if (sad_array[t] < bestsad) { bestsad = sad_array[t]; best_site = i; } } } } } else { for (j = 0; j < cfg->searches_per_step; j++) { // Trap illegal vectors const MV this_mv = {best_mv->row + ss[i].mv.row, best_mv->col + ss[i].mv.col}; if (is_mv_in(x, &this_mv)) { const uint8_t *const check_here = ss[i].offset + best_address; unsigned int thissad = fn_ptr->sdf(what, what_stride, check_here, in_what_stride); if (thissad < bestsad) { thissad += mvsad_err_cost(x, &this_mv, &fcenter_mv, sad_per_bit); if (thissad < bestsad) { bestsad = thissad; best_site = i; } } } i++; } } if (best_site != last_site) { best_mv->row += ss[best_site].mv.row; best_mv->col += ss[best_site].mv.col; best_address += ss[best_site].offset; last_site = best_site; #if defined(NEW_DIAMOND_SEARCH) while (1) { const MV this_mv = {best_mv->row + ss[best_site].mv.row, best_mv->col + ss[best_site].mv.col}; if (is_mv_in(x, &this_mv)) { const uint8_t *const check_here = ss[best_site].offset + best_address; unsigned int thissad = fn_ptr->sdf(what, what_stride, check_here, in_what_stride); if (thissad < bestsad) { thissad += mvsad_err_cost(x, &this_mv, &fcenter_mv, sad_per_bit); if (thissad < bestsad) { bestsad = thissad; best_mv->row += ss[best_site].mv.row; best_mv->col += ss[best_site].mv.col; best_address += ss[best_site].offset; continue; } } } break; } #endif } else if (best_address == in_what) { (*num00)++; } } return bestsad; } static int vector_match(int16_t *ref, int16_t *src, int bwl) { int best_sad = INT_MAX; int this_sad; int d; int center, offset = 0; int bw = 4 << bwl; // redundant variable, to be changed in the experiments. for (d = 0; d <= bw; d += 16) { this_sad = vp9_vector_var(&ref[d], src, bwl); if (this_sad < best_sad) { best_sad = this_sad; offset = d; } } center = offset; for (d = -8; d <= 8; d += 16) { int this_pos = offset + d; // check limit if (this_pos < 0 || this_pos > bw) continue; this_sad = vp9_vector_var(&ref[this_pos], src, bwl); if (this_sad < best_sad) { best_sad = this_sad; center = this_pos; } } offset = center; for (d = -4; d <= 4; d += 8) { int this_pos = offset + d; // check limit if (this_pos < 0 || this_pos > bw) continue; this_sad = vp9_vector_var(&ref[this_pos], src, bwl); if (this_sad < best_sad) { best_sad = this_sad; center = this_pos; } } offset = center; for (d = -2; d <= 2; d += 4) { int this_pos = offset + d; // check limit if (this_pos < 0 || this_pos > bw) continue; this_sad = vp9_vector_var(&ref[this_pos], src, bwl); if (this_sad < best_sad) { best_sad = this_sad; center = this_pos; } } offset = center; for (d = -1; d <= 1; d += 2) { int this_pos = offset + d; // check limit if (this_pos < 0 || this_pos > bw) continue; this_sad = vp9_vector_var(&ref[this_pos], src, bwl); if (this_sad < best_sad) { best_sad = this_sad; center = this_pos; } } return (center - (bw >> 1)); } static const MV search_pos[4] = { {-1, 0}, {0, -1}, {0, 1}, {1, 0}, }; unsigned int vp9_int_pro_motion_estimation(const VP9_COMP *cpi, MACROBLOCK *x, BLOCK_SIZE bsize, int mi_row, int mi_col) { MACROBLOCKD *xd = &x->e_mbd; MB_MODE_INFO *mbmi = &xd->mi[0]->mbmi; struct buf_2d backup_yv12[MAX_MB_PLANE] = {{0, 0}}; DECLARE_ALIGNED(16, int16_t, hbuf[128]); DECLARE_ALIGNED(16, int16_t, vbuf[128]); DECLARE_ALIGNED(16, int16_t, src_hbuf[64]); DECLARE_ALIGNED(16, int16_t, src_vbuf[64]); int idx; const int bw = 4 << b_width_log2_lookup[bsize]; const int bh = 4 << b_height_log2_lookup[bsize]; const int search_width = bw << 1; const int search_height = bh << 1; const int src_stride = x->plane[0].src.stride; const int ref_stride = xd->plane[0].pre[0].stride; uint8_t const *ref_buf, *src_buf; MV *tmp_mv = &xd->mi[0]->mbmi.mv[0].as_mv; unsigned int best_sad, tmp_sad, this_sad[4]; MV this_mv; const int norm_factor = 3 + (bw >> 5); const YV12_BUFFER_CONFIG *scaled_ref_frame = vp9_get_scaled_ref_frame(cpi, mbmi->ref_frame[0]); if (scaled_ref_frame) { int i; // Swap out the reference frame for a version that's been scaled to // match the resolution of the current frame, allowing the existing // motion search code to be used without additional modifications. for (i = 0; i < MAX_MB_PLANE; i++) backup_yv12[i] = xd->plane[i].pre[0]; vp9_setup_pre_planes(xd, 0, scaled_ref_frame, mi_row, mi_col, NULL); } #if CONFIG_VP9_HIGHBITDEPTH { unsigned int this_sad; tmp_mv->row = 0; tmp_mv->col = 0; this_sad = cpi->fn_ptr[bsize].sdf(x->plane[0].src.buf, src_stride, xd->plane[0].pre[0].buf, ref_stride); if (scaled_ref_frame) { int i; for (i = 0; i < MAX_MB_PLANE; i++) xd->plane[i].pre[0] = backup_yv12[i]; } return this_sad; } #endif // Set up prediction 1-D reference set ref_buf = xd->plane[0].pre[0].buf - (bw >> 1); for (idx = 0; idx < search_width; idx += 16) { vp9_int_pro_row(&hbuf[idx], ref_buf, ref_stride, bh); ref_buf += 16; } ref_buf = xd->plane[0].pre[0].buf - (bh >> 1) * ref_stride; for (idx = 0; idx < search_height; ++idx) { vbuf[idx] = vp9_int_pro_col(ref_buf, bw) >> norm_factor; ref_buf += ref_stride; } // Set up src 1-D reference set for (idx = 0; idx < bw; idx += 16) { src_buf = x->plane[0].src.buf + idx; vp9_int_pro_row(&src_hbuf[idx], src_buf, src_stride, bh); } src_buf = x->plane[0].src.buf; for (idx = 0; idx < bh; ++idx) { src_vbuf[idx] = vp9_int_pro_col(src_buf, bw) >> norm_factor; src_buf += src_stride; } // Find the best match per 1-D search tmp_mv->col = vector_match(hbuf, src_hbuf, b_width_log2_lookup[bsize]); tmp_mv->row = vector_match(vbuf, src_vbuf, b_height_log2_lookup[bsize]); this_mv = *tmp_mv; src_buf = x->plane[0].src.buf; ref_buf = xd->plane[0].pre[0].buf + this_mv.row * ref_stride + this_mv.col; best_sad = cpi->fn_ptr[bsize].sdf(src_buf, src_stride, ref_buf, ref_stride); { const uint8_t * const pos[4] = { ref_buf - ref_stride, ref_buf - 1, ref_buf + 1, ref_buf + ref_stride, }; cpi->fn_ptr[bsize].sdx4df(src_buf, src_stride, pos, ref_stride, this_sad); } for (idx = 0; idx < 4; ++idx) { if (this_sad[idx] < best_sad) { best_sad = this_sad[idx]; tmp_mv->row = search_pos[idx].row + this_mv.row; tmp_mv->col = search_pos[idx].col + this_mv.col; } } if (this_sad[0] < this_sad[3]) this_mv.row -= 1; else this_mv.row += 1; if (this_sad[1] < this_sad[2]) this_mv.col -= 1; else this_mv.col += 1; ref_buf = xd->plane[0].pre[0].buf + this_mv.row * ref_stride + this_mv.col; tmp_sad = cpi->fn_ptr[bsize].sdf(src_buf, src_stride, ref_buf, ref_stride); if (best_sad > tmp_sad) { *tmp_mv = this_mv; best_sad = tmp_sad; } tmp_mv->row *= 8; tmp_mv->col *= 8; if (scaled_ref_frame) { int i; for (i = 0; i < MAX_MB_PLANE; i++) xd->plane[i].pre[0] = backup_yv12[i]; } return best_sad; } // Runs sequence of diamond searches in smaller steps for RD. /* 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 */ static int full_pixel_diamond(const VP9_COMP *cpi, MACROBLOCK *x, MV *mvp_full, int step_param, int sadpb, int further_steps, int do_refine, int *cost_list, const vp9_variance_fn_ptr_t *fn_ptr, const MV *ref_mv, MV *dst_mv) { MV temp_mv; int thissme, n, num00 = 0; int bestsme = cpi->diamond_search_sad(x, &cpi->ss_cfg, mvp_full, &temp_mv, step_param, sadpb, &n, fn_ptr, ref_mv); if (bestsme < INT_MAX) bestsme = vp9_get_mvpred_var(x, &temp_mv, ref_mv, fn_ptr, 1); *dst_mv = temp_mv; // 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, &cpi->ss_cfg, mvp_full, &temp_mv, step_param + n, sadpb, &num00, fn_ptr, ref_mv); if (thissme < INT_MAX) thissme = vp9_get_mvpred_var(x, &temp_mv, ref_mv, fn_ptr, 1); // check to see if refining search is needed. if (num00 > further_steps - n) do_refine = 0; if (thissme < bestsme) { bestsme = thissme; *dst_mv = temp_mv; } } } // final 1-away diamond refining search if (do_refine) { const int search_range = 8; MV best_mv = *dst_mv; thissme = vp9_refining_search_sad(x, &best_mv, sadpb, search_range, fn_ptr, ref_mv); if (thissme < INT_MAX) thissme = vp9_get_mvpred_var(x, &best_mv, ref_mv, fn_ptr, 1); if (thissme < bestsme) { bestsme = thissme; *dst_mv = best_mv; } } // Return cost list. if (cost_list) { calc_int_cost_list(x, ref_mv, sadpb, fn_ptr, dst_mv, cost_list); } return bestsme; } int vp9_full_search_sad_c(const MACROBLOCK *x, const MV *ref_mv, int sad_per_bit, int distance, const vp9_variance_fn_ptr_t *fn_ptr, const MV *center_mv, MV *best_mv) { int r, c; const MACROBLOCKD *const xd = &x->e_mbd; const struct buf_2d *const what = &x->plane[0].src; const struct buf_2d *const in_what = &xd->plane[0].pre[0]; const int row_min = VPXMAX(ref_mv->row - distance, x->mv_row_min); const int row_max = VPXMIN(ref_mv->row + distance, x->mv_row_max); const int col_min = VPXMAX(ref_mv->col - distance, x->mv_col_min); const int col_max = VPXMIN(ref_mv->col + distance, x->mv_col_max); const MV fcenter_mv = {center_mv->row >> 3, center_mv->col >> 3}; int best_sad = fn_ptr->sdf(what->buf, what->stride, get_buf_from_mv(in_what, ref_mv), in_what->stride) + mvsad_err_cost(x, ref_mv, &fcenter_mv, sad_per_bit); *best_mv = *ref_mv; for (r = row_min; r < row_max; ++r) { for (c = col_min; c < col_max; ++c) { const MV mv = {r, c}; const int sad = fn_ptr->sdf(what->buf, what->stride, get_buf_from_mv(in_what, &mv), in_what->stride) + mvsad_err_cost(x, &mv, &fcenter_mv, sad_per_bit); if (sad < best_sad) { best_sad = sad; *best_mv = mv; } } } return best_sad; } int vp9_full_search_sadx3(const MACROBLOCK *x, const MV *ref_mv, int sad_per_bit, int distance, const vp9_variance_fn_ptr_t *fn_ptr, const MV *center_mv, MV *best_mv) { int r; const MACROBLOCKD *const xd = &x->e_mbd; const struct buf_2d *const what = &x->plane[0].src; const struct buf_2d *const in_what = &xd->plane[0].pre[0]; const int row_min = VPXMAX(ref_mv->row - distance, x->mv_row_min); const int row_max = VPXMIN(ref_mv->row + distance, x->mv_row_max); const int col_min = VPXMAX(ref_mv->col - distance, x->mv_col_min); const int col_max = VPXMIN(ref_mv->col + distance, x->mv_col_max); const MV fcenter_mv = {center_mv->row >> 3, center_mv->col >> 3}; unsigned int best_sad = fn_ptr->sdf(what->buf, what->stride, get_buf_from_mv(in_what, ref_mv), in_what->stride) + mvsad_err_cost(x, ref_mv, &fcenter_mv, sad_per_bit); *best_mv = *ref_mv; for (r = row_min; r < row_max; ++r) { int c = col_min; const uint8_t *check_here = &in_what->buf[r * in_what->stride + c]; if (fn_ptr->sdx3f != NULL) { while ((c + 2) < col_max) { int i; DECLARE_ALIGNED(16, uint32_t, sads[3]); fn_ptr->sdx3f(what->buf, what->stride, check_here, in_what->stride, sads); for (i = 0; i < 3; ++i) { unsigned int sad = sads[i]; if (sad < best_sad) { const MV mv = {r, c}; sad += mvsad_err_cost(x, &mv, &fcenter_mv, sad_per_bit); if (sad < best_sad) { best_sad = sad; *best_mv = mv; } } ++check_here; ++c; } } } while (c < col_max) { unsigned int sad = fn_ptr->sdf(what->buf, what->stride, check_here, in_what->stride); if (sad < best_sad) { const MV mv = {r, c}; sad += mvsad_err_cost(x, &mv, &fcenter_mv, sad_per_bit); if (sad < best_sad) { best_sad = sad; *best_mv = mv; } } ++check_here; ++c; } } return best_sad; } int vp9_full_search_sadx8(const MACROBLOCK *x, const MV *ref_mv, int sad_per_bit, int distance, const vp9_variance_fn_ptr_t *fn_ptr, const MV *center_mv, MV *best_mv) { int r; const MACROBLOCKD *const xd = &x->e_mbd; const struct buf_2d *const what = &x->plane[0].src; const struct buf_2d *const in_what = &xd->plane[0].pre[0]; const int row_min = VPXMAX(ref_mv->row - distance, x->mv_row_min); const int row_max = VPXMIN(ref_mv->row + distance, x->mv_row_max); const int col_min = VPXMAX(ref_mv->col - distance, x->mv_col_min); const int col_max = VPXMIN(ref_mv->col + distance, x->mv_col_max); const MV fcenter_mv = {center_mv->row >> 3, center_mv->col >> 3}; unsigned int best_sad = fn_ptr->sdf(what->buf, what->stride, get_buf_from_mv(in_what, ref_mv), in_what->stride) + mvsad_err_cost(x, ref_mv, &fcenter_mv, sad_per_bit); *best_mv = *ref_mv; for (r = row_min; r < row_max; ++r) { int c = col_min; const uint8_t *check_here = &in_what->buf[r * in_what->stride + c]; if (fn_ptr->sdx8f != NULL) { while ((c + 7) < col_max) { int i; DECLARE_ALIGNED(16, uint32_t, sads[8]); fn_ptr->sdx8f(what->buf, what->stride, check_here, in_what->stride, sads); for (i = 0; i < 8; ++i) { unsigned int sad = sads[i]; if (sad < best_sad) { const MV mv = {r, c}; sad += mvsad_err_cost(x, &mv, &fcenter_mv, sad_per_bit); if (sad < best_sad) { best_sad = sad; *best_mv = mv; } } ++check_here; ++c; } } } if (fn_ptr->sdx3f != NULL) { while ((c + 2) < col_max) { int i; DECLARE_ALIGNED(16, uint32_t, sads[3]); fn_ptr->sdx3f(what->buf, what->stride, check_here, in_what->stride, sads); for (i = 0; i < 3; ++i) { unsigned int sad = sads[i]; if (sad < best_sad) { const MV mv = {r, c}; sad += mvsad_err_cost(x, &mv, &fcenter_mv, sad_per_bit); if (sad < best_sad) { best_sad = sad; *best_mv = mv; } } ++check_here; ++c; } } } while (c < col_max) { unsigned int sad = fn_ptr->sdf(what->buf, what->stride, check_here, in_what->stride); if (sad < best_sad) { const MV mv = {r, c}; sad += mvsad_err_cost(x, &mv, &fcenter_mv, sad_per_bit); if (sad < best_sad) { best_sad = sad; *best_mv = mv; } } ++check_here; ++c; } } return best_sad; } int vp9_refining_search_sad(const MACROBLOCK *x, MV *ref_mv, int error_per_bit, int search_range, const vp9_variance_fn_ptr_t *fn_ptr, const MV *center_mv) { const MACROBLOCKD *const xd = &x->e_mbd; const MV neighbors[4] = {{ -1, 0}, {0, -1}, {0, 1}, {1, 0}}; const struct buf_2d *const what = &x->plane[0].src; const struct buf_2d *const in_what = &xd->plane[0].pre[0]; const MV fcenter_mv = {center_mv->row >> 3, center_mv->col >> 3}; const uint8_t *best_address = get_buf_from_mv(in_what, ref_mv); unsigned int best_sad = fn_ptr->sdf(what->buf, what->stride, best_address, in_what->stride) + mvsad_err_cost(x, ref_mv, &fcenter_mv, error_per_bit); int i, j; for (i = 0; i < search_range; i++) { int best_site = -1; const int all_in = ((ref_mv->row - 1) > x->mv_row_min) & ((ref_mv->row + 1) < x->mv_row_max) & ((ref_mv->col - 1) > x->mv_col_min) & ((ref_mv->col + 1) < x->mv_col_max); if (all_in) { unsigned int sads[4]; const uint8_t *const positions[4] = { best_address - in_what->stride, best_address - 1, best_address + 1, best_address + in_what->stride }; fn_ptr->sdx4df(what->buf, what->stride, positions, in_what->stride, sads); for (j = 0; j < 4; ++j) { if (sads[j] < best_sad) { const MV mv = {ref_mv->row + neighbors[j].row, ref_mv->col + neighbors[j].col}; sads[j] += mvsad_err_cost(x, &mv, &fcenter_mv, error_per_bit); if (sads[j] < best_sad) { best_sad = sads[j]; best_site = j; } } } } else { for (j = 0; j < 4; ++j) { const MV mv = {ref_mv->row + neighbors[j].row, ref_mv->col + neighbors[j].col}; if (is_mv_in(x, &mv)) { unsigned int sad = fn_ptr->sdf(what->buf, what->stride, get_buf_from_mv(in_what, &mv), in_what->stride); if (sad < best_sad) { sad += mvsad_err_cost(x, &mv, &fcenter_mv, error_per_bit); if (sad < best_sad) { best_sad = sad; best_site = j; } } } } } if (best_site == -1) { break; } else { ref_mv->row += neighbors[best_site].row; ref_mv->col += neighbors[best_site].col; best_address = get_buf_from_mv(in_what, ref_mv); } } return best_sad; } // This function is called when we do joint motion search in comp_inter_inter // mode. int vp9_refining_search_8p_c(const MACROBLOCK *x, MV *ref_mv, int error_per_bit, int search_range, const vp9_variance_fn_ptr_t *fn_ptr, const MV *center_mv, const uint8_t *second_pred) { const MV neighbors[8] = {{-1, 0}, {0, -1}, {0, 1}, {1, 0}, {-1, -1}, {1, -1}, {-1, 1}, {1, 1}}; const MACROBLOCKD *const xd = &x->e_mbd; const struct buf_2d *const what = &x->plane[0].src; const struct buf_2d *const in_what = &xd->plane[0].pre[0]; const MV fcenter_mv = {center_mv->row >> 3, center_mv->col >> 3}; unsigned int best_sad = fn_ptr->sdaf(what->buf, what->stride, get_buf_from_mv(in_what, ref_mv), in_what->stride, second_pred) + mvsad_err_cost(x, ref_mv, &fcenter_mv, error_per_bit); int i, j; for (i = 0; i < search_range; ++i) { int best_site = -1; for (j = 0; j < 8; ++j) { const MV mv = {ref_mv->row + neighbors[j].row, ref_mv->col + neighbors[j].col}; if (is_mv_in(x, &mv)) { unsigned int sad = fn_ptr->sdaf(what->buf, what->stride, get_buf_from_mv(in_what, &mv), in_what->stride, second_pred); if (sad < best_sad) { sad += mvsad_err_cost(x, &mv, &fcenter_mv, error_per_bit); if (sad < best_sad) { best_sad = sad; best_site = j; } } } } if (best_site == -1) { break; } else { ref_mv->row += neighbors[best_site].row; ref_mv->col += neighbors[best_site].col; } } return best_sad; } int vp9_full_pixel_search(VP9_COMP *cpi, MACROBLOCK *x, BLOCK_SIZE bsize, MV *mvp_full, int step_param, int error_per_bit, int *cost_list, const MV *ref_mv, MV *tmp_mv, int var_max, int rd) { const SPEED_FEATURES *const sf = &cpi->sf; const SEARCH_METHODS method = sf->mv.search_method; vp9_variance_fn_ptr_t *fn_ptr = &cpi->fn_ptr[bsize]; int var = 0; if (cost_list) { cost_list[0] = INT_MAX; cost_list[1] = INT_MAX; cost_list[2] = INT_MAX; cost_list[3] = INT_MAX; cost_list[4] = INT_MAX; } switch (method) { case FAST_DIAMOND: var = fast_dia_search(x, mvp_full, step_param, error_per_bit, 0, cost_list, fn_ptr, 1, ref_mv, tmp_mv); break; case FAST_HEX: var = fast_hex_search(x, mvp_full, step_param, error_per_bit, 0, cost_list, fn_ptr, 1, ref_mv, tmp_mv); break; case HEX: var = hex_search(x, mvp_full, step_param, error_per_bit, 1, cost_list, fn_ptr, 1, ref_mv, tmp_mv); break; case SQUARE: var = square_search(x, mvp_full, step_param, error_per_bit, 1, cost_list, fn_ptr, 1, ref_mv, tmp_mv); break; case BIGDIA: var = bigdia_search(x, mvp_full, step_param, error_per_bit, 1, cost_list, fn_ptr, 1, ref_mv, tmp_mv); break; case NSTEP: var = full_pixel_diamond(cpi, x, mvp_full, step_param, error_per_bit, MAX_MVSEARCH_STEPS - 1 - step_param, 1, cost_list, fn_ptr, ref_mv, tmp_mv); break; default: assert(0 && "Invalid search method."); } if (method != NSTEP && rd && var < var_max) var = vp9_get_mvpred_var(x, tmp_mv, ref_mv, fn_ptr, 1); return var; }