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:
May. 26, 2020

Filed:

Feb. 15, 2018
Applicant:

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

Inventors:

Prakhar Gupta, Bengaluru, IN;

Sourav Pal, West Bengal, IN;

Shubh Gupta, Delhi, IN;

Ritwik Sinha, Bangalore, IN;

Ajaykrishnan Jayagopal, Mumbai, IN;

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 9/00 (2006.01); G06T 3/40 (2006.01); G06N 3/08 (2006.01); G06F 3/01 (2006.01); G06T 7/90 (2017.01); G06T 7/70 (2017.01);
U.S. Cl.
CPC ...
G06T 9/002 (2013.01); G06N 3/08 (2013.01); G06T 3/40 (2013.01); G06F 3/013 (2013.01); G06T 7/70 (2017.01); G06T 7/90 (2017.01); G06T 2200/24 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A content saliency network is a machine-learned neural network that predicts the saliency of elements of a content item. The content saliency network may be used in a method that includes determining a set of elements in a UI and computing a first context vector for the content. The method may also include, for each element in the set of elements, computing a vector of simple features for the element, the simple features being computed from attributes of the element, computing a second context vector for the element, computing a third context vector for an intermediate context of the element, and providing the vectors to the content saliency network. The content saliency network provides a saliency score for the element. The method further includes generating an element-level saliency map of the content using the respective saliency scores for the set of elements and providing the saliency map to a requestor.


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