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. 12, 2024

Filed:

Dec. 13, 2021
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Balakrishnan Varadarajan, Sunnyvale, CA (US);

George Dan Toderici, Mountain View, CA (US);

Apostol Natsev, Sunnyvale, CA (US);

Nitin Khandelwal, Milpitas, CA (US);

Sudheendra Vijayanarasimhan, Mountain View, CA (US);

Weilong Yang, Fremont, CA (US);

Sanketh Shetty, Sunnyvale, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06F 16/78 (2019.01); G06F 16/783 (2019.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/2413 (2023.01); G06V 20/40 (2022.01); G06V 20/70 (2022.01); H04N 5/265 (2006.01);
U.S. Cl.
CPC ...
G06F 16/783 (2019.01); G06F 16/7867 (2019.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/2413 (2023.01); G06V 20/41 (2022.01); G06V 20/70 (2022.01); H04N 5/265 (2013.01);
Abstract

A system and methodology provide for annotating videos with entities and associated probabilities of existence of the entities within video frames. A computer-implemented method identifies an entity from a plurality of entities identifying characteristics of video items. The computer-implemented method selects a set of features correlated with the entity based on a value of a feature of a plurality of features, determines a classifier for the entity using the set of features, and determines an aggregation calibration function for the entity based on the set of features. The computer-implemented method selects a video frame from a video item, where the video frame having associated features, and determines a probability of existence of the entity based on the associated features using the classifier and the aggregation calibration function.


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