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/*
* Copyright (c) 2021, Alliance for Open Media. All rights reserved
*
* This source code is subject to the terms of the BSD 3-Clause Clear License
* and the Alliance for Open Media Patent License 1.0. If the BSD 3-Clause Clear
* License was not distributed with this source code in the LICENSE file, you
* can obtain it at aomedia.org/license/software-license/bsd-3-c-c/. If the
* Alliance for Open Media Patent License 1.0 was not distributed with this
* source code in the PATENTS file, you can obtain it at
* aomedia.org/license/patent-license/.
*/
/*!\file
* \brief Defines utility functions used in intra mode search.
*
* This includes rdcost estimations, histogram based pruning, etc.
*/
#ifndef AOM_AV1_ENCODER_INTRA_MODE_SEARCH_UTILS_H_
#define AOM_AV1_ENCODER_INTRA_MODE_SEARCH_UTILS_H_
#include "av1/common/pred_common.h"
#include "av1/common/reconintra.h"
#include "av1/encoder/encoder.h"
#include "av1/encoder/model_rd.h"
#include "av1/encoder/palette.h"
#ifdef __cplusplus
extern "C" {
#endif
/*!\cond */
#define BINS 32
static const float intra_hog_model_bias[DIRECTIONAL_MODES] = {
0.450578f, 0.695518f, -0.717944f, -0.639894f,
-0.602019f, -0.453454f, 0.055857f, -0.465480f,
};
static const float intra_hog_model_weights[BINS * DIRECTIONAL_MODES] = {
-3.076402f, -3.757063f, -3.275266f, -3.180665f, -3.452105f, -3.216593f,
-2.871212f, -3.134296f, -1.822324f, -2.401411f, -1.541016f, -1.195322f,
-0.434156f, 0.322868f, 2.260546f, 3.368715f, 3.989290f, 3.308487f,
2.277893f, 0.923793f, 0.026412f, -0.385174f, -0.718622f, -1.408867f,
-1.050558f, -2.323941f, -2.225827f, -2.585453f, -3.054283f, -2.875087f,
-2.985709f, -3.447155f, 3.758139f, 3.204353f, 2.170998f, 0.826587f,
-0.269665f, -0.702068f, -1.085776f, -2.175249f, -1.623180f, -2.975142f,
-2.779629f, -3.190799f, -3.521900f, -3.375480f, -3.319355f, -3.897389f,
-3.172334f, -3.594528f, -2.879132f, -2.547777f, -2.921023f, -2.281844f,
-1.818988f, -2.041771f, -0.618268f, -1.396458f, -0.567153f, -0.285868f,
-0.088058f, 0.753494f, 2.092413f, 3.215266f, -3.300277f, -2.748658f,
-2.315784f, -2.423671f, -2.257283f, -2.269583f, -2.196660f, -2.301076f,
-2.646516f, -2.271319f, -2.254366f, -2.300102f, -2.217960f, -2.473300f,
-2.116866f, -2.528246f, -3.314712f, -1.701010f, -0.589040f, -0.088077f,
0.813112f, 1.702213f, 2.653045f, 3.351749f, 3.243554f, 3.199409f,
2.437856f, 1.468854f, 0.533039f, -0.099065f, -0.622643f, -2.200732f,
-4.228861f, -2.875263f, -1.273956f, -0.433280f, 0.803771f, 1.975043f,
3.179528f, 3.939064f, 3.454379f, 3.689386f, 3.116411f, 1.970991f,
0.798406f, -0.628514f, -1.252546f, -2.825176f, -4.090178f, -3.777448f,
-3.227314f, -3.479403f, -3.320569f, -3.159372f, -2.729202f, -2.722341f,
-3.054913f, -2.742923f, -2.612703f, -2.662632f, -2.907314f, -3.117794f,
-3.102660f, -3.970972f, -4.891357f, -3.935582f, -3.347758f, -2.721924f,
-2.219011f, -1.702391f, -0.866529f, -0.153743f, 0.107733f, 1.416882f,
2.572884f, 3.607755f, 3.974820f, 3.997783f, 2.970459f, 0.791687f,
-1.478921f, -1.228154f, -1.216955f, -1.765932f, -1.951003f, -1.985301f,
-1.975881f, -1.985593f, -2.422371f, -2.419978f, -2.531288f, -2.951853f,
-3.071380f, -3.277027f, -3.373539f, -4.462010f, -0.967888f, 0.805524f,
2.794130f, 3.685984f, 3.745195f, 3.252444f, 2.316108f, 1.399146f,
-0.136519f, -0.162811f, -1.004357f, -1.667911f, -1.964662f, -2.937579f,
-3.019533f, -3.942766f, -5.102767f, -3.882073f, -3.532027f, -3.451956f,
-2.944015f, -2.643064f, -2.529872f, -2.077290f, -2.809965f, -1.803734f,
-1.783593f, -1.662585f, -1.415484f, -1.392673f, -0.788794f, -1.204819f,
-1.998864f, -1.182102f, -0.892110f, -1.317415f, -1.359112f, -1.522867f,
-1.468552f, -1.779072f, -2.332959f, -2.160346f, -2.329387f, -2.631259f,
-2.744936f, -3.052494f, -2.787363f, -3.442548f, -4.245075f, -3.032172f,
-2.061609f, -1.768116f, -1.286072f, -0.706587f, -0.192413f, 0.386938f,
0.716997f, 1.481393f, 2.216702f, 2.737986f, 3.109809f, 3.226084f,
2.490098f, -0.095827f, -3.864816f, -3.507248f, -3.128925f, -2.908251f,
-2.883836f, -2.881411f, -2.524377f, -2.624478f, -2.399573f, -2.367718f,
-1.918255f, -1.926277f, -1.694584f, -1.723790f, -0.966491f, -1.183115f,
-1.430687f, 0.872896f, 2.766550f, 3.610080f, 3.578041f, 3.334928f,
2.586680f, 1.895721f, 1.122195f, 0.488519f, -0.140689f, -0.799076f,
-1.222860f, -1.502437f, -1.900969f, -3.206816f,
};
#define FIX_PREC_BITS (16)
static AOM_INLINE int get_hist_bin_idx(int dx, int dy) {
const int32_t ratio = (dy * (1 << FIX_PREC_BITS)) / dx;
// Find index by bisection
static const int thresholds[BINS] = {
-1334015, -441798, -261605, -183158, -138560, -109331, -88359, -72303,
-59392, -48579, -39272, -30982, -23445, -16400, -9715, -3194,
3227, 9748, 16433, 23478, 31015, 39305, 48611, 59425,
72336, 88392, 109364, 138593, 183191, 261638, 441831, INT32_MAX
};
int lo_idx = 0, hi_idx = BINS - 1;
// Divide into segments of size 8 gives better performance than binary search
// here.
if (ratio <= thresholds[7]) {
lo_idx = 0;
hi_idx = 7;
} else if (ratio <= thresholds[15]) {
lo_idx = 8;
hi_idx = 15;
} else if (ratio <= thresholds[23]) {
lo_idx = 16;
hi_idx = 23;
} else {
lo_idx = 24;
hi_idx = 31;
}
for (int idx = lo_idx; idx <= hi_idx; idx++) {
if (ratio <= thresholds[idx]) {
return idx;
}
}
assert(0 && "No valid histogram bin found!");
return BINS - 1;
}
#undef FIX_PREC_BITS
static AOM_INLINE void generate_hog_hbd(const uint16_t *src, int stride,
int rows, int cols, float *hist) {
float total = 0.1f;
src += stride;
for (int r = 1; r < rows - 1; ++r) {
for (int c = 1; c < cols - 1; ++c) {
const uint16_t *above = &src[c - stride];
const uint16_t *below = &src[c + stride];
const uint16_t *left = &src[c - 1];
const uint16_t *right = &src[c + 1];
// Calculate gradient using Sobel fitlers.
const int dx = (right[-stride] + 2 * right[0] + right[stride]) -
(left[-stride] + 2 * left[0] + left[stride]);
const int dy = (below[-1] + 2 * below[0] + below[1]) -
(above[-1] + 2 * above[0] + above[1]);
if (dx == 0 && dy == 0) continue;
const int temp = abs(dx) + abs(dy);
if (!temp) continue;
total += temp;
if (dx == 0) {
hist[0] += temp / 2;
hist[BINS - 1] += temp / 2;
} else {
const int idx = get_hist_bin_idx(dx, dy);
assert(idx >= 0 && idx < BINS);
hist[idx] += temp;
}
}
src += stride;
}
for (int i = 0; i < BINS; ++i) hist[i] /= total;
}
static AOM_INLINE void prune_intra_mode_with_hog(
const MACROBLOCK *x, BLOCK_SIZE bsize, float th,
uint8_t *directional_mode_skip_mask) {
aom_clear_system_state();
const int bh = block_size_high[bsize];
const int bw = block_size_wide[bsize];
const MACROBLOCKD *xd = &x->e_mbd;
const int rows =
(xd->mb_to_bottom_edge >= 0) ? bh : (xd->mb_to_bottom_edge >> 3) + bh;
const int cols =
(xd->mb_to_right_edge >= 0) ? bw : (xd->mb_to_right_edge >> 3) + bw;
const int src_stride = x->plane[0].src.stride;
const uint16_t *src = x->plane[0].src.buf;
float hist[BINS] = { 0.0f };
generate_hog_hbd(src, src_stride, rows, cols, hist);
for (int i = 0; i < DIRECTIONAL_MODES; ++i) {
float this_score = intra_hog_model_bias[i];
const float *weights = &intra_hog_model_weights[i * BINS];
for (int j = 0; j < BINS; ++j) {
this_score += weights[j] * hist[j];
}
if (this_score < th) directional_mode_skip_mask[i + 1] = 1;
}
aom_clear_system_state();
}
#undef BINS
// Returns the cost needed to send a uniformly distributed r.v.
static AOM_INLINE int write_uniform_cost(int n, int v) {
const int l = get_unsigned_bits(n);
const int m = (1 << l) - n;
if (l == 0) return 0;
if (v < m)
return av1_cost_literal(l - 1);
else
return av1_cost_literal(l);
}
/*!\endcond */
/*!\brief Returns the rate cost for luma prediction mode info of intra blocks.
*
* \callergraph
*/
static AOM_INLINE int intra_mode_info_cost_y(const AV1_COMP *cpi,
const MACROBLOCK *x,
const MB_MODE_INFO *mbmi,
BLOCK_SIZE bsize, int mode_cost) {
int total_rate = mode_cost;
const ModeCosts *mode_costs = &x->mode_costs;
const int use_palette = mbmi->palette_mode_info.palette_size[0] > 0;
const int use_filter_intra = mbmi->filter_intra_mode_info.use_filter_intra;
const MACROBLOCKD *xd = &x->e_mbd;
const int use_intrabc = mbmi->use_intrabc[PLANE_TYPE_Y];
// Can only activate one mode.
assert(((mbmi->mode != DC_PRED) + use_palette + use_intrabc +
use_filter_intra) <= 1);
const int try_palette =
av1_allow_palette(cpi->common.features.allow_screen_content_tools,
mbmi->sb_type[PLANE_TYPE_Y]);
if (try_palette && mbmi->mode == DC_PRED) {
const int bsize_ctx = av1_get_palette_bsize_ctx(bsize);
const int mode_ctx = av1_get_palette_mode_ctx(xd);
total_rate +=
mode_costs->palette_y_mode_cost[bsize_ctx][mode_ctx][use_palette];
if (use_palette) {
const uint8_t *const color_map = xd->plane[0].color_index_map;
int block_width, block_height, rows, cols;
av1_get_block_dimensions(bsize, 0, xd, &block_width, &block_height, &rows,
&cols);
const int plt_size = mbmi->palette_mode_info.palette_size[0];
int palette_mode_cost =
mode_costs
->palette_y_size_cost[bsize_ctx][plt_size - PALETTE_MIN_SIZE] +
write_uniform_cost(plt_size, color_map[0]);
uint16_t color_cache[2 * PALETTE_MAX_SIZE];
const int n_cache = av1_get_palette_cache(xd, 0, color_cache);
palette_mode_cost +=
av1_palette_color_cost_y(&mbmi->palette_mode_info, color_cache,
n_cache, cpi->common.seq_params.bit_depth);
palette_mode_cost +=
av1_cost_color_map(x, 0, bsize, mbmi->tx_size, PALETTE_MAP);
total_rate += palette_mode_cost;
}
}
if (allow_fsc_intra(&cpi->common,
#if !CONFIG_LOSSLESS_DPCM
xd,
#endif // CONFIG_LOSSLESS_DPCM
bsize, mbmi)) {
const int use_fsc = mbmi->fsc_mode[PLANE_TYPE_Y];
const int fsc_ctx = get_fsc_mode_ctx(xd, frame_is_intra_only(&cpi->common));
total_rate +=
mode_costs->fsc_cost[fsc_ctx][fsc_bsize_groups[bsize]][use_fsc];
}
if (av1_filter_intra_allowed(&cpi->common, mbmi
#if CONFIG_LOSSLESS_DPCM
,
xd
#endif
)) {
#if CONFIG_D149_CTX_MODELING_OPT
total_rate += mode_costs->filter_intra_cost[use_filter_intra];
#else
total_rate += mode_costs->filter_intra_cost[bsize][use_filter_intra];
#endif // CONFIG_D149_CTX_MODELING_OPT
if (use_filter_intra) {
total_rate +=
mode_costs->filter_intra_mode_cost[mbmi->filter_intra_mode_info
.filter_intra_mode];
}
}
#if !CONFIG_AIMC
if (av1_is_directional_mode(mbmi->mode)) {
if (av1_use_angle_delta(bsize)) {
total_rate +=
mode_costs->angle_delta_cost[PLANE_TYPE_Y][mbmi->mode - V_PRED]
[MAX_ANGLE_DELTA +
mbmi->angle_delta[PLANE_TYPE_Y]];
}
}
#endif // !CONFIG_AIMC
if (av1_allow_intrabc(&cpi->common, xd) && xd->tree_type != CHROMA_PART) {
#if CONFIG_NEW_CONTEXT_MODELING
const int intrabc_ctx = get_intrabc_ctx(xd);
total_rate += mode_costs->intrabc_cost[intrabc_ctx][use_intrabc];
#else
total_rate += mode_costs->intrabc_cost[use_intrabc];
#endif // CONFIG_NEW_CONTEXT_MODELING
}
return total_rate;
}
/*!\brief Return the rate cost for chroma prediction mode info of intra blocks.
*
* \callergraph
*/
static AOM_INLINE int intra_mode_info_cost_uv(const AV1_COMP *cpi,
const MACROBLOCK *x,
const MB_MODE_INFO *mbmi,
BLOCK_SIZE bsize, int mode_cost) {
int total_rate = mode_cost;
const ModeCosts *mode_costs = &x->mode_costs;
const int use_palette = mbmi->palette_mode_info.palette_size[1] > 0;
const UV_PREDICTION_MODE mode = mbmi->uv_mode;
// Can only activate one mode.
assert(mbmi->use_intrabc[PLANE_TYPE_UV] == 0);
assert(((mode != UV_DC_PRED) + use_palette +
mbmi->use_intrabc[PLANE_TYPE_UV]) <= 1);
const int try_palette =
av1_allow_palette(cpi->common.features.allow_screen_content_tools,
mbmi->sb_type[PLANE_TYPE_UV]);
if (try_palette && mode == UV_DC_PRED) {
const PALETTE_MODE_INFO *pmi = &mbmi->palette_mode_info;
total_rate +=
mode_costs->palette_uv_mode_cost[pmi->palette_size[0] > 0][use_palette];
if (use_palette) {
const int bsize_ctx = av1_get_palette_bsize_ctx(bsize);
const int plt_size = pmi->palette_size[1];
const MACROBLOCKD *xd = &x->e_mbd;
const uint8_t *const color_map = xd->plane[1].color_index_map;
int palette_mode_cost =
mode_costs
->palette_uv_size_cost[bsize_ctx][plt_size - PALETTE_MIN_SIZE] +
write_uniform_cost(plt_size, color_map[0]);
uint16_t color_cache[2 * PALETTE_MAX_SIZE];
const int n_cache = av1_get_palette_cache(xd, 1, color_cache);
palette_mode_cost += av1_palette_color_cost_uv(
pmi, color_cache, n_cache, cpi->common.seq_params.bit_depth);
palette_mode_cost +=
av1_cost_color_map(x, 1, bsize, mbmi->tx_size, PALETTE_MAP);
total_rate += palette_mode_cost;
}
}
#if !CONFIG_AIMC
if (av1_is_directional_mode(get_uv_mode(mode))) {
if (av1_use_angle_delta(bsize)) {
if (cpi->common.seq_params.enable_sdp) {
total_rate +=
mode_costs->angle_delta_cost[PLANE_TYPE_UV][mode - V_PRED]
[mbmi->angle_delta[PLANE_TYPE_UV] +
MAX_ANGLE_DELTA];
} else {
total_rate +=
mode_costs->angle_delta_cost[PLANE_TYPE_Y][mode - V_PRED]
[mbmi->angle_delta[PLANE_TYPE_UV] +
MAX_ANGLE_DELTA];
}
}
}
#endif // !CONFIG_AIMC
return total_rate;
}
/*!\cond */
// Makes a quick luma prediction and estimate the rdcost with a model without
// going through the whole txfm/quantize/itxfm process.
static int64_t intra_model_yrd(const AV1_COMP *const cpi, MACROBLOCK *const x,
BLOCK_SIZE bsize, int mode_cost) {
const AV1_COMMON *cm = &cpi->common;
MACROBLOCKD *const xd = &x->e_mbd;
MB_MODE_INFO *const mbmi = xd->mi[0];
assert(!is_inter_block(mbmi, xd->tree_type));
RD_STATS this_rd_stats;
int row, col;
int64_t temp_sse, this_rd;
const ModeCosts *mode_costs = &x->mode_costs;
const TxfmSearchParams *txfm_params = &x->txfm_search_params;
TX_SIZE tx_size =
tx_size_from_tx_mode(bsize, txfm_params->tx_mode_search_type);
const int stepr = tx_size_high_unit[tx_size];
const int stepc = tx_size_wide_unit[tx_size];
const int max_blocks_wide = max_block_wide(xd, bsize, 0);
const int max_blocks_high = max_block_high(xd, bsize, 0);
mbmi->tx_size = tx_size;
#if CONFIG_TX_PARTITION_TYPE_EXT
mbmi->tx_partition_type[0] = TX_PARTITION_NONE;
get_tx_partition_sizes(mbmi->tx_partition_type[0], tx_size, &mbmi->txb_pos,
mbmi->sub_txs);
mbmi->txb_idx = 0;
#endif
// Prediction.
for (row = 0; row < max_blocks_high; row += stepr) {
for (col = 0; col < max_blocks_wide; col += stepc) {
av1_predict_intra_block_facade(cm, xd, 0, col, row, tx_size);
}
}
// RD estimation.
model_rd_sb_fn[MODELRD_TYPE_INTRA](
cpi, bsize, x, xd, 0, 0, &this_rd_stats.rate, &this_rd_stats.dist,
&this_rd_stats.skip_txfm, &temp_sse, NULL, NULL, NULL
#if CONFIG_MRSSE
,
SSE_TYPE_INTRA
#endif // CONFIG_MRSSE
);
#if !CONFIG_AIMC
if (av1_is_directional_mode(mbmi->mode) && av1_use_angle_delta(bsize)) {
mode_cost += mode_costs->angle_delta_cost[PLANE_TYPE_Y][mbmi->mode - V_PRED]
[MAX_ANGLE_DELTA +
mbmi->angle_delta[PLANE_TYPE_Y]];
}
#endif // !CONFIG_AIMC
if (mbmi->mode == DC_PRED &&
av1_filter_intra_allowed_bsize(cm, mbmi->sb_type[PLANE_TYPE_Y])) {
#if CONFIG_D149_CTX_MODELING_OPT
if (mbmi->filter_intra_mode_info.use_filter_intra) {
const int mode = mbmi->filter_intra_mode_info.filter_intra_mode;
mode_cost += mode_costs->filter_intra_cost[1] +
mode_costs->filter_intra_mode_cost[mode];
} else {
mode_cost += mode_costs->filter_intra_cost[0];
}
#else
if (mbmi->filter_intra_mode_info.use_filter_intra) {
const int mode = mbmi->filter_intra_mode_info.filter_intra_mode;
mode_cost += mode_costs->filter_intra_cost[bsize][1] +
mode_costs->filter_intra_mode_cost[mode];
} else {
mode_cost += mode_costs->filter_intra_cost[bsize][0];
}
#endif // CONFIG_D149_CTX_MODELING_OPT
}
this_rd =
RDCOST(x->rdmult, this_rd_stats.rate + mode_cost, this_rd_stats.dist);
return this_rd;
}
/*!\endcond */
/*!\brief Estimate the luma rdcost of a given intra mode and try to prune it.
*
* \ingroup intra_mode_search
* \callergraph
* This function first makes a quick luma prediction and estimates the rdcost
* with a model without going through the txfm, then try to prune the current
* mode if the new estimate y_rd > 1.5 * best_model_rd.
*
* \return Returns 1 if the given mode is prune; 0 otherwise.
*/
static AOM_INLINE int model_intra_yrd_and_prune(const AV1_COMP *const cpi,
MACROBLOCK *x, BLOCK_SIZE bsize,
int mode_info_cost,
int64_t *best_model_rd) {
const int64_t this_model_rd = intra_model_yrd(cpi, x, bsize, mode_info_cost);
if (*best_model_rd != INT64_MAX &&
this_model_rd > *best_model_rd + (*best_model_rd >> 1)) {
return 1;
} else if (this_model_rd < *best_model_rd) {
*best_model_rd = this_model_rd;
}
return 0;
}
#ifdef __cplusplus
} // extern "C"
#endif
#endif // AOM_AV1_ENCODER_INTRA_MODE_SEARCH_UTILS_H_