A Bottom-up Fast CU Partition Scoring Mechanism for AVS3

Shiyi Liu, Zhenyu Wang, Ke Qiu, Jiayu Yang, Ronggang Wang
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Abstract

The third generation of Audio Video Coding Standard (AVS3) achieves 22% coding performance improvement compared with High Efficiency Video Coding (HEVC). However, the improvement of encoding efficiency comes from a more flexible block partition scheme is at the cost of much higher encoding complexity. This paper proposes a bottom-up fast algorithm to prune the time-consuming search process of the CU partition tree. To be specific, we design a scoring mechanism based on the splitting patterns traced back from the bottom to predict the possibility of a partition type to be selected as optimal. The score threshold to skip the exhaustive Rate-Distortion Optimization (RDO) procedure of the partition type is determined by statistical analysis. The experimental results show that the proposed methods can achieve 24.56% time-saving with 0.37% BDBR loss under Random Access configuration and 12.50% complexity reduction with 0.08% BDBR loss under All Intra configuration. The effectiveness leads to the adoption by the open-source platform of AVS3 after evaluated by the AVS working group.
AVS3的自底向上快速CU分区评分机制
与HEVC (High Efficiency Video Coding)相比,第三代音视频编码标准(AVS3)的编码性能提高了22%。然而,更灵活的块划分方案所带来的编码效率的提高是以更高的编码复杂度为代价的。针对CU分区树耗时的搜索过程,提出了一种自底向上的快速算法。具体来说,我们设计了一种基于从底部追溯的分裂模式的评分机制,以预测被选择为最优分区类型的可能性。通过统计分析确定了跳过分区类型的穷举率失真优化(RDO)过程的得分阈值。实验结果表明,该方法在随机接入配置下可节省24.56%的时间和0.37%的BDBR损耗,在全Intra配置下可降低12.50%的复杂度和0.08%的BDBR损耗。经过AVS工作组的评估,其有效性导致AVS3被开源平台采用。
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