US Patent Application 18337331. VIDEO COMPRESSION USING DEEP GENERATIVE MODELS simplified abstract
Contents
VIDEO COMPRESSION USING DEEP GENERATIVE MODELS
Organization Name
Inventor(s)
Amirhossein Habibian of Amsterdam (NL)
Ties Jehan Van Rozendaal of Amsterdam (NL)
Taco Sebastiaan Cohen of Amsterdam (NL)
VIDEO COMPRESSION USING DEEP GENERATIVE MODELS - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 18337331 Titled 'VIDEO COMPRESSION USING DEEP GENERATIVE MODELS'
Simplified Explanation
The abstract describes a method and apparatus for compressing video content using deep generative models. The video content is encoded into a latent code space using an encoder, and then a trained probabilistic model generates a compressed version of the video content. This compressed version can be outputted for transmission.
Original Abstract Submitted
Certain aspects of the present disclosure are directed to methods and apparatus for compressing video content using deep generative models. One example method generally includes receiving video content for compression. The received video content is generally encoded into a latent code space through an encoder, which may be implemented by a first artificial neural network. A compressed version of the encoded video content is generally generated through a trained probabilistic model, which may be implemented by a second artificial neural network, and output for transmission.
