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US Patent 10353948 Content based image retrieval

Patent 10353948 was granted and assigned to Shazura on July, 2019 by the United States Patent and Trademark Office.

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
Shazura
Shazura
Current Assignee
Shazura
Shazura
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10353948
Patent Inventor Names
Sira Perez de la Coba9
Date of Patent
July 16, 2019
Patent Application Number
14785045
Date Filed
August 8, 2014
Patent Citations
‌
US Patent 10192117 Graph-based framework for video object segmentation and extraction in feature space
Patent Citations Received
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US Patent 12118752 Determining colors of objects in digital images
3
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US Patent 11972569 Segmenting objects in digital images utilizing a multi-object segmentation model framework
4
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US Patent 12002083 Visual quality performance predictors
5
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US Patent 12020414 Utilizing deep neural networks to automatically select instances of detected objects in images
6
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US Patent 12093306 Automatically detecting user-requested objects in digital images
7
‌
US Patent 11645733 System and method for providing artificial intelligence architectures to people with disabilities
8
Patent Primary Examiner
‌
Manav Seth
Patent abstract

A method and non-transitory computer readable medium for content based image retrieval. The method includes selecting a query image, segmenting the selected query image by applying a segmentation technique, extracting features from the segmented query image by determining at least two feature descriptors, including color feature descriptors and texture feature descriptors, and determining a similarity of the query image to a plurality of images included in a database using the determined at least two feature descriptors of the segmented query image, features being extracted from each of the plurality of images included in the database by determining the at least two feature descriptors, the color feature descriptors and the texture feature descriptors including a simultaneous combination of different color spaces, and global and local statistical measurements being carried out on the simultaneous combination of the different color spaces.

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