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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.01289 |
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| _version_ | 1866909090862596096 |
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| author | Yang, Jiayu Jiang, Wei Zhai, Yongqi Yang, Chunhui Wang, Ronggang |
| author_facet | Yang, Jiayu Jiang, Wei Zhai, Yongqi Yang, Chunhui Wang, Ronggang |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_01289 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | UCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding Yang, Jiayu Jiang, Wei Zhai, Yongqi Yang, Chunhui Wang, Ronggang Computer Vision and Pattern Recognition 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. |
| title | UCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2402.01289 |