Learning for 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 …
very effective tool for video compression, can hardly be trained into a neural network. In this …
Learning for Video Compression
Z Chen, T He, X Jin, F Wu - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
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 …
very effective tool for video compression, can hardly be trained into a neural network. In this …
Learning for Video Compression
Z Chen, T He, X Jin, F Wu - arXiv preprint arXiv:1804.09869, 2018 - arxiv.org
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 …
very effective tool for video compression, can hardly be trained into a neural network. In this …
Learning for Video Compression
Z Chen, T He, X Jin, F Wu - IEEE Transactions on Circuits and Systems …, 2020 - dl.acm.org
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 …
very effective tool for video compression, can hardly be trained into a neural network. In this …