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517 lines
17 KiB
C
517 lines
17 KiB
C
/*****************************************************************************
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* This file is part of Kvazaar HEVC encoder.
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*
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* Copyright (C) 2013-2014 Tampere University of Technology and others (see
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* COPYING file).
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*
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* Kvazaar is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License version 2 as published
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* by the Free Software Foundation.
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*
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* Kvazaar is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with Kvazaar. If not, see <http://www.gnu.org/licenses/>.
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****************************************************************************/
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/*
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* \file
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*/
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#include "search.h"
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#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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#include "config.h"
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#include "bitstream.h"
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#include "picture.h"
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#include "intra.h"
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#include "inter.h"
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#include "filter.h"
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// Temporarily for debugging.
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#define USE_INTRA_IN_P 1
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//#define RENDER_CU encoder->frame==2
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#define RENDER_CU 0
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#define SEARCH_MV_FULL_RADIUS 0
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#define IN_FRAME(x, y, width, height, block_width, block_height) \
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((x) >= 0 && (y) >= 0 \
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&& (x) + (block_width) <= (width) \
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&& (y) + (block_height) <= (height))
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/**
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* This is used in the hexagon_search to select 3 points to search.
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*
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* The start of the hexagonal pattern has been repeated at the end so that
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* the indices between 1-6 can be used as the start of a 3-point list of new
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* points to search.
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*
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* 6 o-o 1 / 7
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* / \
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* 5 o 0 o 2 / 8
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* \ /
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* 4 o-o 3
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*/
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const vector2d large_hexbs[10] = {
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{ 0, 0 },
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{ 1, -2 }, { 2, 0 }, { 1, 2 }, { -1, 2 }, { -2, 0 }, { -1, -2 },
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{ 1, -2 }, { 2, 0 }
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};
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/**
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* This is used as the last step of the hexagon search.
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*/
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const vector2d small_hexbs[5] = {
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{ 0, 0 },
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{ -1, -1 }, { -1, 0 }, { 1, 0 }, { 1, 1 }
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};
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int calc_mvd_cost(int x, int y, const vector2d *pred)
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{
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int cost = 0;
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// Get the absolute difference vector and count the bits.
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x = abs(abs(x) - abs(pred->x));
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y = abs(abs(y) - abs(pred->y));
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while (x >>= 1) {
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++cost;
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}
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while (y >>= 1) {
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++cost;
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}
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// I don't know what is a good cost function for this. It probably doesn't
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// have to aproximate the actual cost of encoding the vector, but it's a
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// place to start.
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// Add two for quarter pixel resolution and multiply by two for Exp-Golomb.
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return (cost ? (cost + 2) << 1 : 0);
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}
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/**
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* \brief Do motion search using the HEXBS algorithm.
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*
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* \param depth log2 depth of the search
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* \param pic Picture motion vector is searched for.
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* \param ref Picture motion vector is searched from.
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* \param orig Top left corner of the searched for block.
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* \param mv_in_out Predicted mv in and best out. Quarter pixel precision.
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*
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* \returns Cost of the motion vector.
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*
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* Motion vector is searched by first searching iteratively with the large
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* hexagon pattern until the best match is at the center of the hexagon.
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* As a final step a smaller hexagon is used to check the adjacent pixels.
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*
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* If a non 0,0 predicted motion vector predictor is given as mv_in_out,
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* the 0,0 vector is also tried. This is hoped to help in the case where
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* the predicted motion vector is way off. In the future even more additional
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* points like 0,0 might be used, such as vectors from top or left.
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*/
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unsigned hexagon_search(unsigned depth,
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const picture *pic, const picture *ref,
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const vector2d *orig, vector2d *mv_in_out)
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{
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vector2d mv = { mv_in_out->x >> 2, mv_in_out->y >> 2 };
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int block_width = CU_WIDTH_FROM_DEPTH(depth);
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unsigned best_cost = UINT32_MAX;
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unsigned i;
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unsigned best_index = 0; // Index of large_hexbs or finally small_hexbs.
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// Search the initial 7 points of the hexagon.
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for (i = 0; i < 7; ++i) {
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const vector2d *pattern = &large_hexbs[i];
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unsigned cost = calc_sad(pic, ref, orig->x, orig->y,
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orig->x + mv.x + pattern->x, orig->y + mv.y + pattern->y,
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block_width, block_width);
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cost += calc_mvd_cost(mv.x + pattern->x, mv.y + pattern->y, mv_in_out);
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if (cost < best_cost) {
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best_cost = cost;
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best_index = i;
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}
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}
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// Try the 0,0 vector.
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if (!(mv.x == 0 && mv.y == 0)) {
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unsigned cost = calc_sad(pic, ref, orig->x, orig->y,
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orig->x, orig->y,
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block_width, block_width);
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cost += calc_mvd_cost(0, 0, mv_in_out);
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// If the 0,0 is better, redo the hexagon around that point.
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if (cost < best_cost) {
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best_cost = cost;
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best_index = 0;
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mv.x = 0;
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mv.y = 0;
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for (i = 1; i < 7; ++i) {
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const vector2d *pattern = &large_hexbs[i];
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unsigned cost = calc_sad(pic, ref, orig->x, orig->y,
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orig->x + pattern->x,
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orig->y + pattern->y,
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block_width, block_width);
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cost += calc_mvd_cost(pattern->x, pattern->y, mv_in_out);
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if (cost < best_cost) {
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best_cost = cost;
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best_index = i;
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}
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}
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}
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}
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// Iteratively search the 3 new points around the best match, until the best
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// match is in the center.
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while (best_index != 0) {
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unsigned start; // Starting point of the 3 offsets to be searched.
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if (best_index == 1) {
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start = 6;
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} else if (best_index == 8) {
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start = 1;
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} else {
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start = best_index - 1;
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}
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// Move the center to the best match.
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mv.x += large_hexbs[best_index].x;
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mv.y += large_hexbs[best_index].y;
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best_index = 0;
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// Iterate through the next 3 points.
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for (i = 0; i < 3; ++i) {
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const vector2d *offset = &large_hexbs[start + i];
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unsigned cost = calc_sad(pic, ref, orig->x, orig->y,
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orig->x + mv.x + offset->x,
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orig->y + mv.y + offset->y,
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block_width, block_width);
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cost += calc_mvd_cost(mv.x + offset->x, mv.y + offset->y, mv_in_out);
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if (cost < best_cost) {
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best_cost = cost;
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best_index = start + i;
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}
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++offset;
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}
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}
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// Move the center to the best match.
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mv.x += large_hexbs[best_index].x;
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mv.y += large_hexbs[best_index].y;
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best_index = 0;
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// Do the final step of the search with a small pattern.
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for (i = 1; i < 5; ++i) {
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const vector2d *offset = &small_hexbs[i];
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unsigned cost = calc_sad(pic, ref, orig->x, orig->y,
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orig->x + mv.x + offset->x,
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orig->y + mv.y + offset->y,
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block_width, block_width);
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cost += calc_mvd_cost(mv.x + offset->x, mv.y + offset->y, mv_in_out);
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if (cost > 0 && cost < best_cost) {
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best_cost = cost;
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best_index = i;
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}
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}
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// Adjust the movement vector according to the final best match.
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mv.x += small_hexbs[best_index].x;
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mv.y += small_hexbs[best_index].y;
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// Return final movement vector in quarter-pixel precision.
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mv_in_out->x = mv.x << 2;
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mv_in_out->y = mv.y << 2;
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return best_cost;
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}
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unsigned search_mv_full(unsigned depth,
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const picture *pic, const picture *ref,
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const vector2d *orig, vector2d *mv_in_out)
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{
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vector2d mv = { mv_in_out->x >> 2, mv_in_out->y >> 2 };
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int block_width = CU_WIDTH_FROM_DEPTH(depth);
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unsigned best_cost = UINT32_MAX;
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int x, y;
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vector2d min_mv, max_mv;
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/*if (abs(mv.x) > SEARCH_MV_FULL_RADIUS || abs(mv.y) > SEARCH_MV_FULL_RADIUS) {
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best_cost = calc_sad(pic, ref, orig->x, orig->y,
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orig->x, orig->y,
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block_width, block_width);
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mv.x = 0;
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mv.y = 0;
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}*/
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min_mv.x = mv.x - SEARCH_MV_FULL_RADIUS;
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min_mv.y = mv.y - SEARCH_MV_FULL_RADIUS;
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max_mv.x = mv.x + SEARCH_MV_FULL_RADIUS;
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max_mv.y = mv.y + SEARCH_MV_FULL_RADIUS;
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for (y = min_mv.y; y < max_mv.y; ++y) {
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for (x = min_mv.x; x < max_mv.x; ++x) {
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unsigned cost = calc_sad(pic, ref, orig->x, orig->y,
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orig->x + x,
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orig->y + y,
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block_width, block_width);
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cost += calc_mvd_cost(x, y, mv_in_out);
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if (cost < best_cost) {
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best_cost = cost;
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mv.x = x;
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mv.y = y;
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}
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}
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}
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mv_in_out->x = mv.x << 2;
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mv_in_out->y = mv.y << 2;
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return best_cost;
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}
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void search_inter(encoder_control *encoder, uint16_t x_ctb, uint16_t y_ctb, uint8_t depth) {
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picture *cur_pic = encoder->in.cur_pic;
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int ref_idx = 0;
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cu_info *cur_cu = &cur_pic->cu_array[depth][x_ctb + y_ctb * (encoder->in.width_in_lcu << MAX_DEPTH)];
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cur_cu->inter.cost = UINT_MAX;
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for (ref_idx = 0; ref_idx < encoder->ref->used_size; ref_idx++) {
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picture *ref_pic = encoder->ref->pics[ref_idx];
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unsigned width_in_scu = NO_SCU_IN_LCU(ref_pic->width_in_lcu);
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cu_info *ref_cu = &ref_pic->cu_array[MAX_DEPTH][y_ctb * width_in_scu + x_ctb];
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uint32_t temp_cost;
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vector2d orig, mv;
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orig.x = x_ctb * CU_MIN_SIZE_PIXELS;
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orig.y = y_ctb * CU_MIN_SIZE_PIXELS;
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mv.x = 0;
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mv.y = 0;
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if (ref_cu->type == CU_INTER) {
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mv.x = ref_cu->inter.mv[0];
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mv.y = ref_cu->inter.mv[1];
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}
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#if SEARCH_MV_FULL_RADIUS
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cur_cu->inter.cost = search_mv_full(depth, cur_pic, ref_pic, &orig, &mv);
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#else
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temp_cost = hexagon_search(depth, cur_pic, ref_pic, &orig, &mv);
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#endif
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if(temp_cost < cur_cu->inter.cost) {
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cur_cu->inter.mv_ref = ref_idx;
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cur_cu->inter.mv_dir = 1;
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cur_cu->inter.mv[0] = (int16_t)mv.x;
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cur_cu->inter.mv[1] = (int16_t)mv.y;
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cur_cu->inter.cost = temp_cost;
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}
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}
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}
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void search_intra(encoder_control *encoder, uint16_t x_ctb, uint16_t y_ctb, uint8_t depth)
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{
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int16_t x = x_ctb * (LCU_WIDTH >> MAX_DEPTH);
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int16_t y = y_ctb * (LCU_WIDTH >> MAX_DEPTH);
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picture *cur_pic = encoder->in.cur_pic;
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uint8_t width = LCU_WIDTH >> depth;
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cu_info *cur_cu = &cur_pic->cu_array[depth][x_ctb + y_ctb * (encoder->in.width_in_lcu << MAX_DEPTH)];
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// INTRAPREDICTION
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pixel pred[LCU_WIDTH * LCU_WIDTH + 1];
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pixel rec[(LCU_WIDTH * 2 + 1) * (LCU_WIDTH * 2 + 1)];
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pixel *recShift = &rec[(LCU_WIDTH >> (depth)) * 2 + 8 + 1];
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// Build reconstructed block to use in prediction with extrapolated borders
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intra_build_reference_border(cur_pic, cur_pic->y_data,
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x, y,
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(int16_t)width * 2 + 8, rec, (int16_t)width * 2 + 8, 0);
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cur_cu->intra[0].mode = (int8_t)intra_prediction(encoder->in.cur_pic->y_data,
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encoder->in.width, recShift, width * 2 + 8, x, y,
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width, pred, width, &cur_cu->intra[0].cost);
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cur_cu->part_size = SIZE_2Nx2N;
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// Do search for NxN split.
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if (depth == MAX_DEPTH) {
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// Save 2Nx2N information to compare with NxN.
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int nn_cost = cur_cu->intra[0].cost;
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int8_t nn_mode = cur_cu->intra[0].mode;
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int i;
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int cost = (int)(g_lambda_cost[encoder->QP] * 4.5); // round to nearest
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static vector2d offsets[4] = {{0,0},{1,0},{0,1},{1,1}};
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width = 4;
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recShift = &rec[width * 2 + 8 + 1];
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for (i = 0; i < 4; ++i) {
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int x_pos = x + offsets[i].x * width;
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int y_pos = y + offsets[i].y * width;
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intra_build_reference_border(cur_pic, cur_pic->y_data,
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x_pos, y_pos,
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(int16_t)width * 2 + 8, rec, (int16_t)width * 2 + 8, 0);
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cur_cu->intra[i].mode = (int8_t)intra_prediction(encoder->in.cur_pic->y_data,
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encoder->in.width, recShift, width * 2 + 8, (int16_t)x_pos, (int16_t)y_pos,
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width, pred, width, &cur_cu->intra[i].cost);
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cost += cur_cu->intra[i].cost;
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}
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// Choose between 2Nx2N and NxN.
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if (nn_cost <= cost) {
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cur_cu->intra[0].cost = nn_cost;
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cur_cu->intra[0].mode = nn_mode;
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} else {
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cur_cu->intra[0].cost = cost;
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cur_cu->part_size = SIZE_NxN;
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}
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}
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}
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/**
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* \brief Search best modes at each depth for the whole picture.
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*
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* This function fills the cur_pic->cu_array of the current picture
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* with the best mode and it's cost for each CU at each depth for the whole
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* frame.
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*/
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void search_tree(encoder_control *encoder,
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int x, int y, uint8_t depth)
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{
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int cu_width = LCU_WIDTH >> depth;
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uint16_t x_ctb = (uint16_t)x / (LCU_WIDTH >> MAX_DEPTH);
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uint16_t y_ctb = (uint16_t)y / (LCU_WIDTH >> MAX_DEPTH);
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// Stop recursion if the CU is completely outside the frame.
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if (x >= encoder->in.width || y >= encoder->in.height) {
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return;
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}
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// If the CU is partially outside the frame, split.
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if (x + cu_width > encoder->in.width ||
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y + cu_width > encoder->in.height)
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{
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int half_cu = cu_width / 2;
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search_tree(encoder, x, y, depth + 1);
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search_tree(encoder, x + half_cu, y, depth + 1);
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search_tree(encoder, x, y + half_cu, depth + 1);
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search_tree(encoder, x + half_cu, y + half_cu, depth + 1);
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return;
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}
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// CU is completely inside the frame, so search for best prediction mode at
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// this depth.
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{
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picture *cur_pic = encoder->in.cur_pic;
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if (cur_pic->slicetype != SLICE_I &&
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depth >= MIN_INTER_SEARCH_DEPTH &&
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depth <= MAX_INTER_SEARCH_DEPTH)
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{
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search_inter(encoder, x_ctb, y_ctb, depth);
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}
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if (depth >= MIN_INTRA_SEARCH_DEPTH &&
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depth <= MAX_INTRA_SEARCH_DEPTH)
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{
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search_intra(encoder, x_ctb, y_ctb, depth);
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}
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}
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// Recurse to max search depth.
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if (depth < MAX_INTRA_SEARCH_DEPTH && depth < MAX_INTER_SEARCH_DEPTH) {
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int half_cu = cu_width / 2;;
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search_tree(encoder, x, y, depth + 1);
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search_tree(encoder, x + half_cu, y, depth + 1);
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search_tree(encoder, x, y + half_cu, depth + 1);
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search_tree(encoder, x + half_cu, y + half_cu, depth + 1);
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}
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}
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/**
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* \brief
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*/
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uint32_t search_best_mode(encoder_control *encoder,
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uint16_t x_ctb, uint16_t y_ctb, uint8_t depth)
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{
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cu_info *cur_cu = &encoder->in.cur_pic->cu_array[depth]
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[x_ctb + y_ctb * (encoder->in.width_in_lcu << MAX_DEPTH)];
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uint32_t best_intra_cost = cur_cu->intra[0].cost;
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uint32_t best_inter_cost = cur_cu->inter.cost;
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uint32_t lambda_cost = (int)(4.5 * g_lambda_cost[encoder->QP]); //TODO: Correct cost calculation
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if (depth < MAX_INTRA_SEARCH_DEPTH && depth < MAX_INTER_SEARCH_DEPTH) {
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uint32_t cost = lambda_cost;
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uint8_t change = 1 << (MAX_DEPTH - 1 - depth);
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cost += search_best_mode(encoder, x_ctb, y_ctb, depth + 1);
|
|
cost += search_best_mode(encoder, x_ctb + change, y_ctb, depth + 1);
|
|
cost += search_best_mode(encoder, x_ctb, y_ctb + change, depth + 1);
|
|
cost += search_best_mode(encoder, x_ctb + change, y_ctb + change, depth + 1);
|
|
|
|
if (cost < best_intra_cost && cost < best_inter_cost)
|
|
{
|
|
// Better value was found at a lower level.
|
|
return cost;
|
|
}
|
|
}
|
|
|
|
// If search hasn't been peformed at all for this block, the cost will be
|
|
// max value, so it is safe to just compare costs. It just has to be made
|
|
// sure that no value overflows.
|
|
if (best_inter_cost <= best_intra_cost) {
|
|
inter_set_block(encoder->in.cur_pic, x_ctb, y_ctb, depth, cur_cu);
|
|
return best_inter_cost;
|
|
} else {
|
|
intra_set_block_mode(encoder->in.cur_pic, x_ctb, y_ctb, depth,
|
|
cur_cu->intra[0].mode, cur_cu->part_size);
|
|
return best_intra_cost;
|
|
}
|
|
}
|
|
|
|
|
|
/**
|
|
* \brief
|
|
*/
|
|
void search_slice_data(encoder_control *encoder)
|
|
{
|
|
int16_t x_lcu, y_lcu;
|
|
|
|
// Initialize the costs in the cu-array used for searching.
|
|
{
|
|
int d, x_cu, y_cu;
|
|
|
|
for (y_cu = 0; y_cu < encoder->in.height / CU_MIN_SIZE_PIXELS; ++y_cu) {
|
|
for (x_cu = 0; x_cu < encoder->in.width / CU_MIN_SIZE_PIXELS; ++x_cu) {
|
|
for (d = 0; d <= MAX_DEPTH; ++d) {
|
|
picture *cur_pic = encoder->in.cur_pic;
|
|
cu_info *cur_cu = &cur_pic->cu_array[d][x_cu + y_cu * (encoder->in.width_in_lcu << MAX_DEPTH)];
|
|
cur_cu->intra[0].cost = UINT32_MAX;
|
|
cur_cu->inter.cost = UINT32_MAX;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// Loop through every LCU in the slice
|
|
for (y_lcu = 0; y_lcu < encoder->in.height_in_lcu; y_lcu++) {
|
|
for (x_lcu = 0; x_lcu < encoder->in.width_in_lcu; x_lcu++) {
|
|
uint8_t depth = 0;
|
|
|
|
// Recursive function for looping through all the sub-blocks
|
|
search_tree(encoder, x_lcu * LCU_WIDTH, y_lcu * LCU_WIDTH, depth);
|
|
|
|
// Decide actual coding modes
|
|
search_best_mode(encoder, x_lcu << MAX_DEPTH, y_lcu << MAX_DEPTH, depth);
|
|
|
|
encode_block_residual(encoder, x_lcu << MAX_DEPTH, y_lcu << MAX_DEPTH, depth);
|
|
|
|
}
|
|
}
|
|
}
|