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US Patent 11182408 Generating and applying an object-level relational index for images

Patent 11182408 was granted and assigned to Microsoft on November, 2021 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Microsoft
Microsoft
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Current Assignee
Microsoft
Microsoft
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
111824080
Patent Inventor Names
Kun Wu0
Arun Sacheti0
Houdong Hu0
Mithun Das Gupta0
Rushabh Rajesh Gandhi0
Soudamini Sreepada0
Sudhir Kumar0
Yiran Shen0
Date of Patent
November 23, 2021
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Patent Application Number
164179020
Date Filed
May 21, 2019
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Patent Citations Received
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US Patent 12118752 Determining colors of objects in digital images
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US Patent 11468110 Utilizing natural language processing and multiple object detection models to automatically select objects in images
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US Patent 11587234 Generating class-agnostic object masks in digital images
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US Patent 11631234 Automatically detecting user-requested objects in images
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US Patent 11681919 Automatically selecting query objects in digital images
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US Patent 11302033 Classifying colors of objects in digital images
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US Patent 11367273 Detecting objects using a weakly supervised model
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US Patent 11886494 Utilizing natural language processing automatically select objects in images
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...
Patent Primary Examiner
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Hung Q Pham
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Patent abstract

A computer-implemented technique is described herein for using a machine-trained model to identify individual objects within images. The technique then creates a relational index for the identified objects. That is, each index entry in the relational index is associated with a given object, and includes a set of attributes pertaining to the given object. One such attribute identifies at least one latent semantic vector associated with the given object. Each attribute provides a way of linking the given object to one or more other objects in the relational index. In one application of this technique, a user may submit a query that specifies a query object. The technique consults the relational index to find one or more objects that are related to the query object. In some cases, the query object and each of the other objects have a complementary relationship.

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