The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 16, 2021

Filed:

May. 21, 2018
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

David Charles Minnen, Mountain View, CA (US);

Michele Covell, Woodside, CA (US);

Saurabh Singh, Mountain View, CA (US);

Sung Jin Hwang, Mountain View, CA (US);

George Dan Toderici, Mountain View, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 19/91 (2014.01); H03M 7/30 (2006.01); H04N 19/13 (2014.01); H04N 19/192 (2014.01); G06F 16/28 (2019.01); G06F 16/23 (2019.01); G06N 3/08 (2006.01); G06N 7/00 (2006.01);
U.S. Cl.
CPC ...
H03M 7/3088 (2013.01); G06F 16/2365 (2019.01); G06F 16/285 (2019.01); G06N 3/08 (2013.01); G06N 7/005 (2013.01); H04N 19/13 (2014.11); H04N 19/192 (2014.11); H04N 19/91 (2014.11);
Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for compressing and decompressing data. In one aspect, an encoder neural network processes data to generate an output including a representation of the data as an ordered collection of code symbols. The ordered collection of code symbols is entropy encoded using one or more code symbol probability distributions. A compressed representation of the data is determined based on the entropy encoded representation of the collection of code symbols and data indicating the code symbol probability distributions used to entropy encode the collection of code symbols. In another aspect, a compressed representation of the data is decoded to determine the collection of code symbols representing the data. A reconstruction of the data is determined by processing the collection of code symbols by a decoder neural network.


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