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DATA COMPRESSION USING CONDITIONAL ENTROPY MODELS

Application US20260080574A1 Kind: A1 Mar 19, 2026

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

G06T 9/001 G06F 17/18 G06N 3/08 G06N 20/00 G06T 3/40 G06T 9/002

Filing Date

2025-11-21

Application No.

19397291