TitleUCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding
AuthorsYang, Jiayu
Jiang, Wei
Zhai, Yongqi
Yang, Chunhui
Wang, Ronggang
AffiliationPeking Univ, Sch Elect & Comp Engn, Beijing, Peoples R China
Peng Cheng Lab, Shenzhen, Peoples R China
Migu Culture Technol Co Ltd, Xiamen, Peoples R China
Issue Date2024
Publisher2024 DATA COMPRESSION CONFERENCE, DCC
AbstractThis 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.
URIhttp://hdl.handle.net/20.500.11897/717051
ISBN979-8-3503-8588-5; 979-8-3503-8587-8
ISSN1068-0314
DOI10.1109/DCC58796.2024.00046
IndexedCPCI-S(ISTP)
Appears in Collections:信息工程学院

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