DATA COMPRESSION USING CONDITIONAL ENTROPY MODELS
Inventors
David Charles Minnen, Saurabh Singh, Johannes Balle, Troy Chinen, Sung Jin Hwang, Nicholas Johnston, George Dan Toderici
Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for compressing and decompressing data. In one aspect, a method comprises: processing data using an encoder neural network to generate a latent representation of the data; processing the latent representation of the data using a hyper-encoder neural network to generate a latent representation of an entropy model; generating an entropy encoded representation of the latent representation of the entropy model; generating an entropy encoded representation of the latent representation of the data using the latent representation of the entropy model; and determining a compressed representation of the data from the entropy encoded representations of: (i) the latent representation of the data and (ii) the latent representation of the entropy model used to entropy encode the latent representation of the data.
CPC Classifications
Filing Date
2025-11-21
Application No.
19397291