Learned Video Compression with Feature-level Residuals

Feng Runsen
Feng Runsen
Wu Yaojun
Wu Yaojun
Guo Zongyu
Guo Zongyu

CVPR Workshops, pp. 529-532, 2020.

Cited by: 0|Views15
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Abstract:

In this paper, we present an end-to-end video compression network for P-frame challenge on CLIC. We focus on deep neural network (DNN) based video compression, and improve the current frameworks from three aspects. First, we notice that pixel space residuals is sensitive to the prediction errors of optical flow based motion compensation...More

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