A Fast Adaptive Motion Vector Resolution Algorithm for AVS3

Yukun Zhang, Guoqing Xiang, Chen Li, Peng Zhang, Hao Lin, Wei Yan
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Abstract

Audio Video Coding (AVS3) is one of the latest generation of video coding standards and has significantly improved the coding performance compared to its predecessor. Its efficiency is achieved by the more flexible block partitioning and new encoding tools. Among them, Adaptive Motion Vector Resolution (AMVR) is one of the tools providing efficient coding for motion vectors. It allows motion vector differences to be coded in five resolutions to reduce the encoding bits. However, it’s costly to select the optimal resolution by exhaustively performing motion estimation and rate-distortion optimization. Therefore, we propose our fast AMVR algorithm to select the most probable resolution by utilizing spatial and temporal information. Experimental results demonstrate our algorithm reduces the overall AMVR encoding time by 41%, 32%, and 53% with coding loss of 0.25%, 0.19%, and 0.27% under the low-delay B, low-delay P, and random access configuration.
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用于 AVS3 的快速自适应运动矢量解析算法
音频视频编码(AVS3)是最新一代的视频编码标准之一,与上一代标准相比,其编码性能有了显著提高。其效率的提高得益于更灵活的块分割和新的编码工具。其中,自适应运动矢量解析(AMVR)是为运动矢量提供高效编码的工具之一。它允许以五种分辨率对运动矢量差异进行编码,以减少编码位数。然而,通过详尽地执行运动估计和速率失真优化来选择最佳分辨率的成本很高。因此,我们提出了快速 AMVR 算法,利用空间和时间信息选择最可能的分辨率。实验结果表明,在低延迟 B、低延迟 P 和随机存取配置下,我们的算法分别将 AMVR 的总体编码时间缩短了 41%、32% 和 53%,编码损失分别为 0.25%、0.19% 和 0.27%。
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