UCVC：一种联合P帧和B帧编码的统一上下文视频压缩框架
UCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding
AI总结：
针对CLIC 2024视频压缩赛道，提出支持P帧与B帧联合编码的统一上下文视频压缩框架UCVC，通过联合优化参数实现与专用方法相当的压缩效率，参赛团队为PKUSZ-LVC。
摘要：
本文提出了一种学习型视频压缩方法，用于参加2024年数据压缩会议（DCC）举办的第六届学习图像压缩挑战赛（CLIC）的视频压缩赛道。具体而言，我们提出了一种用于P帧与B帧联合编码的统一上下文视频压缩框架UCVC。每个非帧内帧都参考两个相邻的已解码帧：对于P帧压缩，两个参考帧均来自过去；对于B帧压缩，参考帧一个来自过去、一个来自未来。在训练阶段，模型参数通过P帧和B帧联合优化。得益于上述设计，该框架可同时支持P帧和B帧编码，且压缩效率与专门针对P帧或B帧设计的方法相当。在挑战赛提交方案中，我们通过为每个测试序列选择合适的帧类型，实现了最优压缩效率。我们的团队名称为PKUSZ-LVC。
英文摘要：
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.
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。
