DATA COMPRESSION USING CONDITIONAL ENTROPY MODELS

Patent №

US 11,670,010

Granted

2023-06-06

Filed 2022

Owner

GOOGLE LLC

AI components

3

ml · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17578794

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.

Machine learningVisionAI hardwareG06T 9/001G06F 17/18G06N 3/045G06N 3/0455G06N 3/0464G06N 3/047G06N 3/0495G06N 3/08+4 more

AI classification

AI hardware1.00
Machine learning1.00
Vision0.87
Knowledge representation0.30
Natural language0.02
Planning0.01
Speech0.01
Evolutionary computation0.00

Ownership

GOOGLE LLC

assignment · 586950010

Assignors

MINNEN, DAVID CHARLES, SINGH, SAURABH, BALLE, JOHANNES, CHINEN, TROY, HWANG, SUNG JIN, JOHNSTON, NICHOLAS, TODERICI, GEORGE DAN

On an employer assignment, the assignors are typically the inventors.

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