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:
Aug. 08, 2023

Filed:

Oct. 13, 2020
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Gabe Culbertson, Palo Alto, CA (US);

Wei Peng, Fremont, CA (US);

Nicolas Crowell, San Francisco, CA (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06N 5/02 (2023.01); G06V 20/40 (2022.01); G06F 18/22 (2023.01); G06F 18/23 (2023.01); G06V 10/74 (2022.01); G06V 10/762 (2022.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 18/22 (2023.01); G06F 18/23 (2023.01); G06N 5/02 (2013.01); G06V 10/761 (2022.01); G06V 10/762 (2022.01); G06V 20/41 (2022.01); G06V 20/47 (2022.01); G06V 20/44 (2022.01);
Abstract

In one aspect, a method includes obtaining videos and for each video: obtaining a set of anchors for the video, each anchor beginning at the playback time and including anchor text; identifying, from text generated from audio of the video, a set of entities specified in the text, wherein each entity in the set of entities is associated with a times stamp at which the entity is mentioned; determining, by a language model and from the text generated from the audio of the video, an importance value for each entity; for a subset of the videos, receiving rater data that describes, for each anchor, the accuracy of the anchor text in describing subject matter of the video; and training, using the human rater data, the importance values, the text, and the set of entities, an anchor model that predicts an entity label for an anchor for a video.


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