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

CVPR, pp. 8500-8509, 2020.

Cited by: 2|Bibtex|Views63|
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Despite considerable progress on end-to-end optimized deep networks for image compression, video coding remains a challenging task. Recently proposed methods for learned video compression use optical flow and bilinear warping for motion compensation and show competitive rate-distortion performance relative to hand-engineered codecs like H...More

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