arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2104.09103cs.NEeess.IVeess.SP
收藏

实用学习视频编码的条件编码和可变比特率

Conditional Coding and Variable Bitrate for Practical Learned Video Coding

Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang, Olivier Déforges

摘要:

介绍了一种实用的学习型视频编解码器。条件编码和量化增益矢量用于为单个编码器/解码器对提供灵活性,其能够以可变比特率压缩视频序列。通过选择速率和GOP结构来优化速率失真成本,在测试时利用灵活性。使用CLIC 21视频测试条件,所提出的方法显示出与HEVC相当的性能。

英文摘要:

This paper introduces a practical learned video codec. Conditional coding and quantization gain vectors are used to provide flexibility to a single encoder/decoder pair, which is able to compress video sequences at a variable bitrate. The flexibility is leveraged at test time by choosing the rate and GOP structure to optimize a rate-distortion cost. Using the CLIC21 video test conditions, the proposed approach shows performance on par with HEVC.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑