Enhanced motion list reordering for video coding

2022 IEEE International Conference on Visual Communications and Image Processing (VCIP) Pub Date : 2022-12-13 DOI:10.1109/VCIP56404.2022.10008886

Yang Wang, Kai Zhang, Na Zhang, Z. Deng, Li Zhang

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Abstract

In video coding, motion information consisting of motion vectors and reference index is typically involved in motion compensation. Motion list is widely used to efficiently compress the motion information, in which a motion index indicating the motion information is signaled. And the compression efficiency can be improved by template matching based motion list reordering. Besides, the motion information is further refined before being used in motion compensation by motion refinement process such as decoder-side motion vector refinement and template matching. However, the original motion information of the motion list rather than the refined motion information is used in the motion list reordering, which limits the coding performance. Therefore, an enhanced motion list reordering (EMLR) approach is proposed in this paper, in which the refined motion information is used in the motion list reordering. To derive the refined motion information, a dedicated motion refinement with a simplified version of motion refinement process is proposed. Furthermore, a simplified version of EMLR with two fast algorithms (EMLR-S) is proposed. Experimental results demonstrate that EMLR can achieve 0.19% BD-rate saving on average, and EMLR-S can achieve 0.1 % BD-rate saving with negligible coding complexity change compared to ECM-4.0 under random access configuration.

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增强了视频编码的动作列表重新排序

在视频编码中，运动补偿通常涉及到由运动矢量和参考索引组成的运动信息。运动列表被广泛地用于有效地压缩运动信息，其中用一个运动索引来表示运动信息。基于模板匹配的运动表重排序可以提高压缩效率。此外，通过解码器侧运动矢量细化和模板匹配等运动细化过程，对运动信息进行进一步细化，再用于运动补偿。然而，在运动列表重排序中使用的是运动列表的原始运动信息，而不是精炼的运动信息，这限制了编码性能。为此，本文提出了一种增强的运动列表重排序(EMLR)方法，该方法将精细的运动信息用于运动列表重排序。为了得到细化的运动信息，提出了一种专用的运动细化方法，简化了运动细化过程。在此基础上，提出了一种采用两种快速算法的简化版EMLR (EMLR- s)。实验结果表明，与随机接入配置下的ECM-4.0相比，EMLR平均可节省0.19%的bd速率，EMLR- s可节省0.1%的bd速率，且编码复杂度变化可以忽略不计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)

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