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:
Jan. 10, 2023

Filed:

Nov. 07, 2019
Applicant:

Netflix, Inc., Los Gatos, CA (US);

Inventors:

Dong Liu, San Francisco, CA (US);

Nagendra Kamath, San Francisco, CA (US);

Rohit Puri, Campbell, CA (US);

Subhabrata Bhattacharya, Campbell, CA (US);

Assignee:

Netflix, Inc., Las Gatos, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/00 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06T 7/11 (2017.01); G06K 9/62 (2022.01); G06V 10/44 (2022.01); G06V 30/194 (2022.01);
U.S. Cl.
CPC ...
G06N 3/0454 (2013.01); G06K 9/6256 (2013.01); G06K 9/6272 (2013.01); G06N 3/08 (2013.01); G06T 7/11 (2017.01); G06V 10/454 (2022.01); G06V 30/194 (2022.01); G06T 2207/20084 (2013.01);
Abstract

The disclosed computer-implemented method may include generating a three-dimensional (3D) feature map for a digital image using a fully convolutional network (FCN). The 3D feature map may be configured to identify features of the digital image and identify an image region for each identified feature. The method may also include generating a region composition graph that includes the identified features and image regions. The region composition graph may be configured to model mutual dependencies between features of the 3D feature map. The method may further include performing a graph convolution on the region composition graph to determine a feature aesthetic value for each node according to the weightings in the node's weighted connecting segments, and calculating a weighted average for each node's feature aesthetic value to provide a combined level of aesthetic appeal for the digital image. Various other methods, systems, and computer-readable media are also disclosed.


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