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:
Nov. 29, 2022

Filed:

Dec. 22, 2015
Applicant:

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

Inventors:

Scott D. Cohen, Sunnyvale, CA (US);

Walter Wei-Tuh Chang, San Jose, CA (US);

Brian L. Price, San Jose, CA (US);

Mohamed Hamdy Mahmoud Abdelbaky Elhoseiny, Piscataway, NJ (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/02 (2006.01); G06N 20/00 (2019.01); G06F 40/30 (2020.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06N 3/0454 (2013.01); G06N 5/022 (2013.01); G06N 20/00 (2019.01);
Abstract

Techniques and systems are described to model and extract knowledge from images. A digital medium environment is configured to learn and use a model to compute a descriptive summarization of an input image automatically and without user intervention. Training data is obtained to train a model using machine learning in order to generate a structured image representation that serves as the descriptive summarization of an input image. The images and associated text are processed to extract structured semantic knowledge from the text, which is then associated with the images. The structured semantic knowledge is processed along with corresponding images to train a model using machine learning such that the model describes a relationship between text features within the structured semantic knowledge. Once the model is learned, the model is usable to process input images to generate a structured image representation of the image.


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