FVC: An End-to-End Framework towards Deep Video Compression in Feature Space

Author:

Hu Zhihao1,Xu Dong2ORCID,Lu Guo3ORCID,Jiang Wei4,Wang Wei4,Liu Shan4ORCID

Affiliation:

1. Beihang University, China

2. Department of Computer Science, The University of Hong Kong, Hong Kong

3. Beijing Institute of Technology, China

4. Tencent Media Lab, CA, U.S.A.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Reference48 articles.

1. FVC: A New Framework towards Deep Video Compression in Feature Space

2. VCT: A video compression transformer;mentzer,2022

3. Deep contextual video compression;li;Proc Adv Neural Inf Process Syst,2021

4. Coarse-To-Fine Deep Video Coding with Hyperprior-Guided Mode Prediction

5. BPG image format;bellard,2015

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2. FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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4. Complexity-guided Slimmable Decoder for Efficient Deep Video Compression;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

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