UCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding

被引:0
|
作者
Yang, Jiayu [1 ]
Jiang, Wei [1 ]
Zhai, Yongqi [1 ,2 ]
Yang, Chunhui [1 ]
Wang, Ronggang [1 ,2 ,3 ]
机构
[1] Peking Univ, Sch Elect & Comp Engn, Beijing, Peoples R China
[2] Peng Cheng Lab, Shenzhen, Peoples R China
[3] Migu Culture Technol Co Ltd, Xiamen, Peoples R China
基金
中国国家自然科学基金;
关键词
D O I
10.1109/DCC58796.2024.00046
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
This paper presents a learned video compression method in response to video compression track of the 6th Challenge on Learned Image Compression (CLIC), at DCC 2024. Specifically, we propose a unified contextual video compression framework (UCVC) for joint P-frame and B-frame coding. Each non-intra frame refers to two neighboring decoded frames, which can be either both from the past for P-frame compression, or one from the past and one from the future for B-frame compression. In training stage, the model parameters are jointly optimized with both P-frames and B-frames. Benefiting from the designs, the framework can support both P-frame and B-frame coding and achieve comparable compression efficiency with that specifically designed for P-frame or B-frame. As for challenge submission, we report the optimal compression efficiency by selecting appropriate frame types for each test sequence. Our team name is PKUSZ-LVC.
引用
收藏
页码:382 / 391
页数:10
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