Reviews: Deep Generative Video Compression

Neural Information Processing Systems 

Originality: - Using deep learning methods for video compression is still underexplored and poses an interesting research direction compared to current (handcrafted) methods. Furthermore, the current approach seems to be limited to a small fixed sequence length. Significance: - The combination of local and global feature is well motivated and the global feature is shown to have an significant impact on performance. However, the usability of the approach seems limited (small sequence length, global encoding of complete sequence). Superior results compared to traditional approaches were mainly achieved on special domain videos, the improvement on the diverse set Kinetics600 is relatively low and only evaluated within a small range of image quality scores.