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US Patent 11921777 Machine learning for digital image selection across object variations

Patent 11921777 was granted and assigned to Adobe Inc. on March, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Adobe Inc.
Adobe Inc.
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Current Assignee
Adobe Inc.
Adobe Inc.
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119217770
Patent Inventor Names
Ryan Timothy Rozich0
Sachin Soni0
Jonathan Stephen Roeder0
Ajay Jain0
Sanjeev Tagra0
Nikaash Puri0
Date of Patent
March 5, 2024
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Patent Application Number
177295150
Date Filed
April 26, 2022
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Patent Citations
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US Patent 10909459 Content embedding using deep metric learning algorithms
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US Patent 10713794 Method and system for using machine-learning for object instance segmentation
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US Patent 11397764 Machine learning for digital image selection across object variations
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Patent Primary Examiner
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Asghar H Bilgrami
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CPC Code
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G06Q 30/0261
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G06Q 30/0269
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G06Q 30/0621
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G06Q 30/0641
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G06V 2201/10
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G06Q 30/0255
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G06Q 30/0254
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G06N 20/00
0
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Patent abstract

Digital image selection techniques are described that employ machine learning to select a digital image of an object from a plurality of digital images of the object. The plurality of digital images each capture the object for inclusion as part of generating digital content, e.g., a webpage, a thumbnail to represent a digital video, and so on. In one example, digital image selection techniques are described that employ machine learning to select a digital image of an object from a plurality of digital images of the object. As a result, the service provider system may select a digital image of an object from a plurality of digital images of the object that has an increased likelihood of achieving a desired outcome and may address the multitude of different ways in which an object may be presented to a user.

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