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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.

Patent No.:

US 12022138 B1

PDFFull Text
Date of Patent:
Jun. 25, 2024

Filed:

Feb. 21, 2022

Model serving for advanced frequency management

Applicant:

Tubi, Inc., San Francisco, CA (US);

Inventors:

Khaldun Matter Ahmad AlDarabsah, Santa Clara, CA (US);

Hailong Geng, Beijing, CN;

Yu Tao Zhao, Olympia, WA (US);

Yoshihiro Tanaka, Redmond, WA (US);

Haofei Wang, Redwood City, CA (US);

Mark Alden Rotblat, Lafayette, CA (US);

Jaya Kawale, San Jose, CA (US);

Chang She, San Francisco, CA (US);

Marios Assiotis, Park City, UT (US);

Joseph Gallagher, San Francisco, CA (US);

Chiyu Zhong, Bloomington, IN (US);

Amir Mazaheri, Mountain View, CA (US);

Assignee:

Tubi, Inc., San Francisco, CA (US);

Attorney:

Redbrick IP, P.C.

Primary Examiner:

Maria V Vanderhorst

Int. Cl.
CPC ...
G06Q 30/00 (2023.01); G06Q 30/0241 (2023.01); G06Q 30/0242 (2023.01); G06Q 30/0251 (2023.01); G06V 10/70 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 20/40 (2022.01); H04N 21/234 (2011.01); H04N 21/25 (2011.01); H04N 21/262 (2011.01); G05B 19/418 (2006.01);
U.S. Cl.
CPC ...
H04N 21/23424 (2013.01); G06Q 30/0245 (2013.01); G06Q 30/0251 (2013.01); G06Q 30/0277 (2013.01); G06V 10/70 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 20/41 (2022.01); G06V 20/46 (2022.01); H04N 21/251 (2013.01); H04N 21/26208 (2013.01);
Abstract

Systems and methods for entity detection using artificial intelligence, including: a deep learning model service configured to: select and analyze a set of frames from a media item to determine a set of candidate brand-probability pairs; a voting engine configured to: determining that a first brand-probability pair of a set of candidate brand-probability pairs based on at least one obtained hyperparameter value does not meet a threshold for determining whether candidate brand-probability pairs are to be included in a result set; excluding the first brand-probability pair from the result set based on the determination; sorting the result set; and selecting at least one final brand-probability pair from the result set; and an offline transcoding service configured to: store the final brand-probability pair in a repository with a relation to an identifier of the media item.

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