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:
Feb. 18, 2020

Filed:

Mar. 26, 2018
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Zhe Lin, Fremont, CA (US);

Yufei Wang, Mountain View, CA (US);

Radomir Mech, Mountain View, CA (US);

Xiaohui Shen, San Jose, CA (US);

Gavin Stuart Peter Miller, Los Altos, CA (US);

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06F 17/30 (2006.01); G06K 9/00 (2006.01); G06F 16/51 (2019.01); G06F 16/58 (2019.01); G06F 16/583 (2019.01); G06K 9/46 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6218 (2013.01); G06F 16/51 (2019.01); G06F 16/58 (2019.01); G06F 16/583 (2019.01); G06K 9/00228 (2013.01); G06K 9/00677 (2013.01); G06K 9/00718 (2013.01); G06K 9/00751 (2013.01); G06K 9/4628 (2013.01); G06K 9/628 (2013.01); G06K 9/6215 (2013.01); G06K 9/6254 (2013.01); G06K 9/6255 (2013.01); G06N 3/0454 (2013.01); G06N 3/084 (2013.01);
Abstract

In embodiments of event image curation, a computing device includes memory that stores a collection of digital images associated with a type of event, such as a digital photo album of digital photos associated with the event, or a video of image frames and the video is associated with the event. A curation application implements a convolutional neural network, which receives the digital images and a designation of the type of event. The convolutional neural network can then determine an importance rating of each digital image within the collection of the digital images based on the type of the event. The importance rating of a digital image is representative of an importance of the digital image to a person in context of the type of the event. The convolutional neural network generates an output of representative digital images from the collection based on the importance rating of each digital image.


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