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:
Apr. 26, 2022

Filed:

Dec. 15, 2017
Applicant:

Waveone Inc., Mountain View, CA (US);

Inventors:

Oren Rippel, Mountain View, CA (US);

Lubomir Bourdev, Mountain View, CA (US);

Carissa Lew, San Jose, CA (US);

Sanjay Nair, Fremont, CA (US);

Assignee:

WaveOne Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06N 20/00 (2019.01); G06K 9/62 (2006.01); G06K 9/42 (2006.01); G06K 9/46 (2006.01); H04N 19/12 (2014.01); H04N 19/16 (2014.01); H04N 19/17 (2014.01); H04N 19/19 (2014.01); H04N 19/91 (2014.01); H04N 19/44 (2014.01); G06K 9/66 (2006.01); G06T 5/00 (2006.01); H04N 19/13 (2014.01); H04N 19/14 (2014.01); H04N 19/18 (2014.01); H04N 19/48 (2014.01); H04N 19/15 (2014.01); H04N 19/33 (2014.01); G06K 9/00 (2006.01); H04N 19/126 (2014.01); H04N 19/167 (2014.01); H04N 19/172 (2014.01); H04N 19/196 (2014.01); H04N 19/149 (2014.01); H04N 19/154 (2014.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06N 3/04 (2013.01); G06N 20/00 (2019.01); G06K 9/00288 (2013.01); G06K 9/00744 (2013.01); G06K 9/00771 (2013.01); G06K 9/4619 (2013.01); G06K 9/4628 (2013.01); G06K 9/6212 (2013.01); G06K 9/6232 (2013.01); G06K 9/6256 (2013.01); G06K 9/6263 (2013.01); G06K 9/6274 (2013.01); G06K 9/66 (2013.01); G06K 2209/01 (2013.01); G06N 3/0454 (2013.01); G06N 3/084 (2013.01); G06T 5/002 (2013.01); H04N 19/126 (2014.11); H04N 19/13 (2014.11); H04N 19/149 (2014.11); H04N 19/154 (2014.11); H04N 19/167 (2014.11); H04N 19/172 (2014.11); H04N 19/18 (2014.11); H04N 19/197 (2014.11); H04N 19/33 (2014.11); H04N 19/44 (2014.11); H04N 19/48 (2014.11); H04N 19/91 (2014.11);
Abstract

The compression system trains a machine-learned encoder and decoder through an autoencoder architecture. The encoder can be deployed by a sender system to encode content for transmission to a receiver system, and the decoder can be deployed by the receiver system to decode the encoded content and reconstruct the original content. The encoder is coupled to receive content and output a tensor as a compact representation of the content. The content may be, for example, images, videos, or text. The decoder is coupled to receive a tensor representing content and output a reconstructed version of the content. The compression system trains the autoencoder with a discriminator to reduce compression artifacts in the reconstructed content. The discriminator is coupled to receive one or more input content, and output a discrimination prediction that discriminates whether the input content is the original or reconstructed version of the content.


Find Patent Forward Citations

Loading…