ref: e1111fba7e178a8e4a0aecd573cfe90f51845bf6
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_mem/vpx_mem.h"
#include "vp9/common/vp9_common.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 = MAX(col_min, (MV_LOW >> 3) + 1);
row_min = MAX(row_min, (MV_LOW >> 3) + 1);
col_max = MIN(col_max, (MV_UPP >> 3) - 1);
row_max = MIN(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 = MAX(16, size);
while ((size << sr) < MAX_FULL_PEL_VAL)
sr++;
sr = MIN(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) {
if (x->nmvsadcost) {
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);
}
return 0;
}
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 svf calc
static INLINE int sp(int x) {
return (x & 7) << 1;
}
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; \
} \
} \
}
#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 = 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; \
\
bestmv->row *= 8; \
bestmv->col *= 8;
#if CONFIG_VP9_HIGHBITDEPTH
#define SETUP_CENTER_ERROR \
if (second_pred != NULL) { \
if (xd->cur_buf->flags & YV12_FLAG_HIGHBITDEPTH) { \
DECLARE_ALIGNED_ARRAY(16, uint16_t, comp_pred16, 64 * 64); \
vp9_highbd_comp_avg_pred(comp_pred16, second_pred, w, h, y + offset, \
y_stride); \
besterr = vfp->vf(CONVERT_TO_BYTEPTR(comp_pred16), w, z, src_stride, \
sse1); \
} else { \
DECLARE_ALIGNED_ARRAY(16, uint8_t, comp_pred, 64 * 64); \
vp9_comp_avg_pred(comp_pred, second_pred, w, h, y + offset, y_stride); \
besterr = vfp->vf(comp_pred, w, z, src_stride, sse1); \
} \
} else { \
besterr = vfp->vf(y + offset, y_stride, z, src_stride, sse1); \
} \
*distortion = besterr; \
besterr += mv_err_cost(bestmv, ref_mv, mvjcost, mvcost, error_per_bit);
#else
#define SETUP_CENTER_ERROR \
if (second_pred != NULL) { \
DECLARE_ALIGNED_ARRAY(16, uint8_t, comp_pred, 64 * 64); \
vp9_comp_avg_pred(comp_pred, second_pred, w, h, y + offset, y_stride); \
besterr = vfp->vf(comp_pred, w, z, src_stride, sse1); \
} else { \
besterr = vfp->vf(y + offset, y_stride, z, src_stride, sse1); \
} \
*distortion = besterr; \
besterr += mv_err_cost(bestmv, ref_mv, mvjcost, mvcost, error_per_bit);
#endif // CONFIG_VP9_HIGHBITDEPTH
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;
SETUP_CENTER_ERROR;
(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;
SETUP_CENTER_ERROR;
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;
SETUP_CENTER_ERROR;
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;
}
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) {
SETUP_SUBPEL_SEARCH;
SETUP_CENTER_ERROR;
(void) cost_list; // to silence compiler warning
// 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;
}
// 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);
}
int vp9_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);
}
int vp9_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);
}
int vp9_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);
}
int vp9_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 vp9_hex_search(x, ref_mv, MAX(MAX_MVSEARCH_STEPS - 2, search_param),
sad_per_bit, do_init_search, cost_list, vfp, use_mvcost,
center_mv, best_mv);
}
int vp9_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 vp9_bigdia_search(x, ref_mv, MAX(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 = MAX(-range, x->mv_row_min - ref_mv->row);
start_col = MAX(-range, x->mv_col_min - ref_mv->col);
end_row = MIN(range, x->mv_row_max - ref_mv->row);
end_col = MIN(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;
}
/* 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(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 = cpi->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 = MAX(ref_mv->row - distance, x->mv_row_min);
const int row_max = MIN(ref_mv->row + distance, x->mv_row_max);
const int col_min = MAX(ref_mv->col - distance, x->mv_col_min);
const int col_max = MIN(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 = MAX(ref_mv->row - distance, x->mv_row_min);
const int row_max = MIN(ref_mv->row + distance, x->mv_row_max);
const int col_min = MAX(ref_mv->col - distance, x->mv_col_min);
const int col_max = MIN(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;
unsigned int 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 = MAX(ref_mv->row - distance, x->mv_row_min);
const int row_max = MIN(ref_mv->row + distance, x->mv_row_max);
const int col_min = MAX(ref_mv->col - distance, x->mv_col_min);
const int col_max = MIN(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;
unsigned int 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;
unsigned int 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_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 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 = vp9_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 = vp9_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 = vp9_hex_search(x, mvp_full, step_param, error_per_bit, 1,
cost_list, fn_ptr, 1, ref_mv, tmp_mv);
break;
case SQUARE:
var = vp9_square_search(x, mvp_full, step_param, error_per_bit, 1,
cost_list, fn_ptr, 1, ref_mv, tmp_mv);
break;
case BIGDIA:
var = vp9_bigdia_search(x, mvp_full, step_param, error_per_bit, 1,
cost_list, fn_ptr, 1, ref_mv, tmp_mv);
break;
case NSTEP:
var = vp9_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(!"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;
}