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An End-to-End Learning Framework for Video Compression

  • Published:2021-10-01 Issue:10 Volume:43 Page:3292-3308
  • ISSN:0162-8828
  • Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
  • language:
  • Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Lu GuoORCID,Zhang XiaoyunORCID,Ouyang WanliORCID,Chen LiORCID,Gao Zhiyong,Xu DongORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

111 plan

Shanghai Key Laboratory of Digital Media Processing and Transmission

Australian Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

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1. Deep video compression based on Long-range Temporal Context Learning;Computer Vision and Image Understanding;2024-11

2. A Coding Framework and Benchmark Towards Low-Bitrate Video Understanding;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-08

3. Temporal context video compression with flow-guided feature prediction;Expert Systems with Applications;2024-08

4. VNVC: A Versatile Neural Video Coding Framework for Efficient Human-Machine Vision;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-07

5. Spatial Decomposition and Temporal Fusion Based Inter Prediction for Learned Video Compression;IEEE Transactions on Circuits and Systems for Video Technology;2024-07
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