Advances in video compression: a glimpse of the long-awaited disruption
Thomas Guionnet, Marwa Tarchouli, Sébastien Pelurson, Mickaël Raulet · SET EXPO PROCEEDINGS · 2022
The consumption of video content on the internet is increasing at a constant pace, along with an increase of video quality.As an answer to the ever-growing demand for high quality video, compression technology improves steadily.About every decade, a new major video compression standard is issued, providing a decrease of bitrate by a factor two. Interestingly, the technology does not change radically between codecs generations.Instead, the same block-based hybrid video coding scheme principles and ideas are re-used and pushed further.All along the video compression history, there were several attempts to depart from this model, but none achieved to be competitive.Following the latest codec generation, VVC, the research community has started focusing on deep learning-based strategies.Could it be the new contender to the classical hybrid approach?This paper analyzes the benefits and limitations of deep learning-based video compression methods, and investigates practical aspects such as rate control, delay, memory consumption and power consumption.Overlapping patch-based end-to-end video compression strategy is proposed to overcome memory consumption limitations.