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Sub-partition reuse for fast optimal motion estimation in HEVC successive elimination algorithms

机译:子分区重用,用于HEVC连续消除算法中的快速最佳运动估计

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In the context of motion estimation (ME) for video coding, the rate-constrained successive elimination algorithm (RC-SEA) safely eliminates candidate motion vectors while preserving the optimal candidate chosen by the block matching algorithm (BMA). This paper describes a technique for reusing ME information from rectangular to square prediction units in order to reduce the search area without altering the optimal candidate chosen by the BMA. Our experiments show that, on average, when this optimization is combined with the RCSEA in the HEVC HM encoder reference software, the number of sum of the absolute differences (SAD) operations drops by 94.9%, resulting in a speedup of 6.13x in full search mode. Although identical coding decisions cannot be guaranteed when multiple optimal solutions exist, the average impact on BD-PSNR is 0.0002 dB.
机译:在用于视频编码的运动估计(ME)的情况下,速率受限的连续消除算法(RC-SEA)安全地消除候选运动矢量,同时保留由块匹配算法(BMA)选择的最佳候选。本文介绍了一种从矩形预测单元到正方形预测单元重用ME信息的技术,目的是在不更改BMA选择的最佳候选者的情况下缩小搜索范围。我们的实验表明,平均而言,当此优化与HEVC HM编码器参考软件中的RCSEA结合使用时,绝对差之和(SAD)运算的数量减少了94.9%,从而使整体速度提高了6.13倍搜索模式。尽管当存在多个最佳解时不能保证相同的编码决策,但对BD-PSNR的平均影响为0.0002 dB。

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