Learned Video Compression with Feature-level Residuals
CVPR Workshops, pp. 529-532, 2020.
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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