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. 11, 2025

Filed:

Apr. 11, 2024
Applicants:

Disney Enterprises, Inc., Burbank, CA (US);

Beijing Yojaja Software Technology Development Co., Ltd., Beijing, CN;

Inventors:

Yuanyi Xue, Alameda, CA (US);

Scott Labrozzi, Cary, NC (US);

Wenhao Zhang, Beijing, CN;

Christopher Richard Schroers, Uster, CH;

Roberto Gerson De Albuquerque Azevedo, Zurich, CH;

Xuchang Huangfu, Beijing, CN;

Lemei Huang, Beijing, CN;

Yang Zhang, Dübendorf, CH;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/774 (2022.01); G06T 7/00 (2017.01); G06V 10/26 (2022.01);
U.S. Cl.
CPC ...
G06V 10/774 (2022.01); G06T 7/0002 (2013.01); G06V 10/26 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30168 (2013.01);
Abstract

In some embodiments, a method sends information for a sample of content, a first question, and a second question for output on an interface. The first question receives, from a subject, a first response for a sample level rating for an artifact that is perceived to be visible in the sample and the second question receives, from the subject, a second response for regions in the sample that are perceived to contain the artifact. The method receives the first response for the sample level rating and the second response for regions that are perceived to contain the artifact. First responses are combined from multiple subjects to generate an opinion score for the sample and second responses are combined to generate region scores for regions. The method generates training data from the opinion score and the region scores to train a process to perform an action based on the artifacts.


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