Learning for Video Compression

• Published in: IEEE transactions on circuits and systems for video technology Vol. 30; no. 2; pp. 566 - 576
• Main Authors: Chen, Zhibo, He, Tianyu, Jin, Xin, Wu, Feng
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.02.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Codec; Codecs; Coding; Image coding; Image reconstruction; Iterative methods; Learning; Neural networks; Performance prediction; PixelMotionCNN; Spatiotemporal phenomena; Transform coding; Video coding; Video compression

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 net...