DVC: An End-to-end Deep Video Compression Framework

CVPR 2019 • Guo Lu • Wanli Ouyang • Dong Xu • Xiaoyun Zhang • Chunlei Cai • Zhiyong Gao

Conventional video compression approaches use the predictive coding architecture and encode the corresponding motion information and residual information. In this paper, taking advantage of both classical architecture in the conventional video compression method and the powerful non-linear representation ability of neural networks, we propose the first end-to-end video compression deep model that jointly optimizes all the components for video compression... (read more)

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