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:
Dec. 27, 2022

Filed:

Nov. 22, 2021
Applicant:

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

Inventors:

Cheryl Lao, Toronto, CA;

William F. Kraus, Bainbridge Island, WA (US);

Paul John Asente, Redwood City, CA (US);

Jose Ignacio Echevarria Vallespi, San Jose, CA (US);

Craig Steven Kaplan, Waterloo, CA;

Daniel John Vogel, Waterloo, CA;

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06T 11/60 (2006.01); G06F 40/109 (2020.01); G06F 40/30 (2020.01);
U.S. Cl.
CPC ...
G06T 11/60 (2013.01); G06F 40/109 (2020.01); G06F 40/30 (2020.01); G06T 2210/12 (2013.01);
Abstract

In aspects of text importance spatial layout, a computing device implements a processing device to receive a text importance vector that includes designations of visual properties for constituent words of a text phrase. Spatial layouts of the text phrase are determined, with each spatial layout being a different displayable representation of the constituent words arranged based on the designations of the visual properties in the text importance vector for each of the constituent words. Feature vectors are generated, each feature vector represents a spatial layout of the text phrase and includes measurement properties of each of the constituent words in the respective spatial layout. The spatial layouts are ranked based on a metric that indicates a degree of similarity of the measurement properties of each of the constituent words in a respective spatial layout matching to the visual properties for the constituent words as designated in the text importance vector.


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