Structure-Preserving Motion Estimation for Learned Video Compression

Author:

Gao Han1,Cui Jinzhong1,Ye Mao1,Li Shuai2,Zhao Yu1,Zhu Xiatian3

Affiliation:

1. University of Electronic Science and Technology of China, Chengdu, China

2. Shandong University, Jinan, China

3. University of Surrey, Guildford, United Kingdom

Funder

National Key R&D Program of China

Sichuan Science and Technology Program

Publisher

ACM

Reference48 articles.

1. Scale-Space Flow for End-to-End Optimized Video Compression

2. Generative Adversarial Networks for Extreme Learned Image Compression

3. Johannes Ballé , Valero Laparra , and Eero P Simoncelli . 2016. End-to-end optimized image compression. arXiv preprint arXiv:1611.01704 ( 2016 ). Johannes Ballé, Valero Laparra, and Eero P Simoncelli. 2016. End-to-end optimized image compression. arXiv preprint arXiv:1611.01704 (2016).

4. Johannes Ballé , David Minnen , Saurabh Singh , Sung Jin Hwang, and Nick Johnston . 2018 . Variational image compression with a scale hyperprior. arXiv preprint arXiv:1802.01436 (2018). Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, and Nick Johnston. 2018. Variational image compression with a scale hyperprior. arXiv preprint arXiv:1802.01436 (2018).

5. Deep Frame Interpolation for Video Compression

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