Motion compensated reference refinement
This commit applies one-step refinement search to the resulting motion vector of the integral projectiion based motion estimation, per 64x64 block. It improves the coding performance of speed -6. pedestrian 1080p 500 kbps 51735 b/f, 36.794 dB, 16044 ms -> 51382 b/f, 36.793 dB, 16282 ms cloud 1080p 500 kbps 24081 b/f, 37.988 dB, 14016 ms -> 23597 b/f, 38.076 dB, 12774 ms vidyo1 720p 1000 kbps 16552 b/f, 40.514 dB, 8279 ms -> 16553 b/f, 40.543 dB, 8510 ms The rtc set compression performance is improved by 0.5%. Change-Id: I3d09bea2caf58b2a4f3b38aa26fffafcbe9a2c17
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@ -569,7 +569,12 @@ static int vector_match(int16_t *ref, int16_t *src) {
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return (center - 32);
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}
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static void motion_estimation(MACROBLOCK *x) {
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static const MV search_pos[9] = {
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{-1, -1}, {-1, 0}, {-1, 1}, {0, -1}, {0, 0}, {0, 1},
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{1, -1}, {1, 0}, {1, 1},
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};
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static void motion_estimation(VP9_COMP *cpi, MACROBLOCK *x) {
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MACROBLOCKD *xd = &x->e_mbd;
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DECLARE_ALIGNED(16, int16_t, hbuf[128]);
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DECLARE_ALIGNED(16, int16_t, vbuf[128]);
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@ -583,6 +588,8 @@ static void motion_estimation(MACROBLOCK *x) {
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const int ref_stride = xd->plane[0].pre[0].stride;
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uint8_t const *ref_buf, *src_buf;
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MV *tmp_mv = &xd->mi[0].src_mi->mbmi.mv[0].as_mv;
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int best_sad;
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MV this_mv;
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// Set up prediction 1-D reference set
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ref_buf = xd->plane[0].pre[0].buf + (-32);
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@ -614,6 +621,24 @@ static void motion_estimation(MACROBLOCK *x) {
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tmp_mv->col = vector_match(hbuf, src_hbuf);
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tmp_mv->row = vector_match(vbuf, src_vbuf);
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best_sad = INT_MAX;
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this_mv = *tmp_mv;
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for (idx = 0; idx < 9; ++idx) {
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int this_sad;
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src_buf = x->plane[0].src.buf;
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ref_buf = xd->plane[0].pre[0].buf +
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(search_pos[idx].row + this_mv.row) * ref_stride +
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(search_pos[idx].col + this_mv.col);
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this_sad = cpi->fn_ptr[BLOCK_64X64].sdf(src_buf, src_stride,
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ref_buf, ref_stride);
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if (this_sad < best_sad) {
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best_sad = this_sad;
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tmp_mv->row = search_pos[idx].row + this_mv.row;
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tmp_mv->col = search_pos[idx].col + this_mv.col;
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}
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}
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tmp_mv->row *= 8;
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tmp_mv->col *= 8;
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@ -664,9 +689,10 @@ static void choose_partitioning(VP9_COMP *cpi,
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mbmi->ref_frame[1] = NONE;
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mbmi->sb_type = BLOCK_64X64;
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mbmi->mv[0].as_int = 0;
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mbmi->interp_filter = BILINEAR;
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#if GLOBAL_MOTION
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motion_estimation(x);
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motion_estimation(cpi, x);
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#endif
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vp9_build_inter_predictors_sb(xd, mi_row, mi_col, BLOCK_64X64);
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