Abstract Systems and method for video compression using conditional entropy coding. An
ordered sequence of image frames can be transformed to produce an entropy coding for …

Abstract Machine learning is used to refine a probability distribution for entropy coding video
or image data. A probability distribution is determined for symbols associated with a video …

An encoder system trains a compression model that includes an autoencoder model and a
frame extractor model. The encoding portion of the autoencoder is coupled to receive a set …

An encoder system trains a compression model that includes an autoencoder model and a
frame extractor model. The encoding portion of the autoencoder is coupled to receive a set …

Techniques for learned lossy image compression are described. A system may perform
image compression using an image compression model that includes an encoder to …

BACKGROUND 0003 Digital video capabilities can be incorporated into a wide range of
devices, including digital televisions, digital direct broadcast systems, wireless broadcast …

This disclosure describes methods that control the selection of predictive coding techniques
for enhancement layer video blocks based on characteristics of vectorized entropy coding …

Techniques related to content adaptive entropy coding are described. A technique for video
coding may include obtaining first and second video data for entropy encoding such that the …

Methods and systems for improving coding efficiency of video. In one aspect of the
disclosure, efficiency may be improved by trimming candidate motion vectors used for …

Abstract Systems and methods are disclosed for adapting scan order for entropy coding. For
example, methods may include partitioning a block of video data into a plurality of groups of …