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:
Mar. 31, 2026

Filed:

Jan. 07, 2025
Applicant:

Matroid, Inc., Palo Alto, CA (US);

Inventors:

Huaijin Wang, Redwood City, CA (US);

Alexander Jordan Bildner, San Francisco, CA (US);

Amey Patel, Mountain View, CA (US);

Andrew Ellison, Newark, CA (US);

John Goddard, Palo Alto, CA (US);

Ryan Wong, Palo Alto, CA (US);

Darin Tay, Palo Alto, CA (US);

Reza Bosagh Zadeh, Palo Alto, CA (US);

Assignee:

Matroid, Inc., Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/73 (2019.01); G06F 16/75 (2019.01); G06F 40/279 (2020.01); G06F 40/40 (2020.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06F 16/73 (2019.01); G06F 16/75 (2019.01); G06F 40/279 (2020.01); G06F 40/40 (2020.01); G06V 10/764 (2022.01); G06V 10/7747 (2022.01); G06V 10/82 (2022.01); G06V 2201/10 (2022.01);
Abstract

Described herein are systems and methods that highlight target objects in media content. The detection system trains a neural network to identify objects within an image. The detection system receives a text input requesting a search within the image and applies a search language model to the text input, which identifies a target object associated with the requested search. The detection system applies the neural network to the image to identify instances of the target object. The detection system modifies a user interface to include the image and modifies the image to highlight the identified instances of the target object. The detection system receives feedback that modifies the highlighted instances of the target object within the user interface and retrains the neural network based on the modified highlighted instances.


Find Patent Forward Citations

Wang, Huaijin. (2026). Neural network retraining based on image classification feedback (U.S. Patent No. 12591617). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12591617

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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