Learning for Video Compression
IEEE Transactions on Circuits and Systems for Video Technology, pp. 566-576, 2020.
One key challenge to learning-based video compression is that motion predictive coding, a very effective tool for video compression, can hardly be trained into a neural network. In this paper, we propose the concept of Pixel-MotionCNN (PMCNN) which includes motion extension and hybrid prediction networks. PMCNN can model spatiotemporal co...More
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