Online Probability Model Estimation For Video Compression

Yue Sun, Jingning Han, Yaowu Xu

Abstract:

Modern video codec uses arithmetic coding for entropy coding. The arithmetic coding
asymptotically achieves the entropy bound provided the true probability distribution. Hence
the compression efficiency heavily relies on the ability to capture the time-variant probability
model in video signals. Variants of first-order linear probability model update schemes have
been used in recent generation video codecs. Built on top of those, a multimodal estimation
scheme that forms a higher order probability model update has been proposed in this work.
We experimentally demonstrate its coding efficiency.