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aom/vp9/encoder/vp9_mcomp.c

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/*
* 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_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, &center_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, &center_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, &center_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, &center_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, &center_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, &center_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, &center_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, &center_mv->as_mv,
mvjcost, mvcost, x->errorperbit);
} else {
return INT_MAX;
}
}
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