标题： 在学习视频编解码器中的高效亚像素运动补偿 显示英文标题

标题： Efficient Sub-pixel Motion Compensation in Learned Video Codecs

摘要： 运动补偿是视频编解码器的关键组成部分。传统编解码器（HEVC 和 VVC）对这一编码步骤进行了仔细优化，特别关注亚像素运动补偿。另一方面，学习编解码器通过简单的双线性滤波实现亚像素运动补偿。本文提出通过借鉴传统编解码器来改进学习编解码器的运动补偿。结果表明，使用更先进的插值滤波器、基于块的运动信息和有限的运动精度可以提高压缩性能并降低解码复杂度。在 Cool-chic 视频编解码器上提供了实验结果，我们展示了比特率减少了超过 10%，并且与运动相关的解码复杂度从每像素 391 MAC 降低到每像素 214 MAC。所有贡献都在 https://github.com/Orange-OpenSource/Cool-Chic 开源提供。 显示英文摘要

摘要： Motion compensation is a key component of video codecs. Conventional codecs (HEVC and VVC) have carefully refined this coding step, with an important focus on sub-pixel motion compensation. On the other hand, learned codecs achieve sub-pixel motion compensation through simple bilinear filtering. This paper offers to improve learned codec motion compensation by drawing inspiration from conventional codecs. It is shown that the usage of more advanced interpolation filters, block-based motion information and finite motion accuracy lead to better compression performance and lower decoding complexity. Experimental results are provided on the Cool-chic video codec, where we demonstrate a rate decrease of more than 10% and a lowering of motion-related decoding complexity from 391 MAC per pixel to 214 MAC per pixel. All contributions are made open-source at https://github.com/Orange-OpenSource/Cool-Chic