UCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 15 of its 23 references that are in the map. First posted on arXiv 2 Feb 2024.
Builds on
15 of 23 references.
References · 15
- 2018Joint Autoregressive and Hierarchical Priors for Learned Image Compressioncited by 642
- 2017Video Enhancement with Task-Oriented Flowcited by 612
- 2020Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modulescited by 570
- 2016Optical Flow Estimation using a Spatial Pyramid Networkcited by 421
- 2018DVC: An End-to-end Deep Video Compression Frameworkcited by 324
- 2020CompressAI: a PyTorch library and evaluation platform for end-to-end compression researchcited by 271
- 2021Deep Contextual Video Compressioncited by 216
- 2023Neural Video Compression with Diverse Contextscited by 155
- 2021FVC: A New Framework towards Deep Video Compression in Feature Spacecited by 149
- 2018Video Compression through Image Interpolationcited by 143
- 2022Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compressioncited by 123
- 2021Temporal Context Mining for Learned Video Compressioncited by 112
3 more
- 2020Asymmetric Gained Deep Image Compression With Continuous Rate Adaptationcited by 83
- 2021End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video Compressioncited by 28
- 2023Multi-Scale Deformable Alignment and Content-Adaptive Inference for Flexible-Rate Bi-Directional Video Compressioncited by 5
Built on by
Citing papers per year: 2024: 1; 2025: 4; 2026: 1.
6 papers.
- 2024Bi-Directional Deep Contextual Video Compressioncited by 20
- 2025BiECVC: Gated Diversification of Bidirectional Contexts for Learned Video Compressioncited by 8
- 2025Neural B-frame Video Compression with Bi-directional Reference Harmonizationcited by 5
- 2025L-LBVC: Long-Term Motion Estimation and Prediction for Learned Bi-Directional Video Compressioncited by 3
- 2025Fine-Grained Motion Compression and Selective Temporal Fusion for Neural B-Frame Video Codingcited by 2
- 2026DCVC-MB: Neural B-Frame Video Compression using State Space Modelscited by 0
- 2026DCVC-MB: Neural B-Frame Video Compression using State Space Models15 Jul 2026
- 2025Neural B-frame Video Compression with Bi-directional Reference Harmonization12 Nov 2025
- 2025Fine-Grained Motion Compression and Selective Temporal Fusion for Neural B-Frame Video Coding9 Jun 2025
- 2025BiECVC: Gated Diversification of Bidirectional Contexts for Learned Video Compression14 May 2025
- 2025L-LBVC: Long-Term Motion Estimation and Prediction for Learned Bi-Directional Video Compression3 Apr 2025
- 2024Bi-Directional Deep Contextual Video Compression16 Aug 2024