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:
Jul. 23, 2024

Filed:

Nov. 08, 2021
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Hooman Mahyar, Seattle, WA (US);

Shivakumar Krishnamurthy, Bangalore, IN;

Arjun Cholkar, Bothell, WA (US);

Rafael Soltanovich, Woodland Hills, CA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 21/2187 (2011.01); H04N 21/25 (2011.01); H04N 21/472 (2011.01); H04N 21/845 (2011.01);
U.S. Cl.
CPC ...
H04N 21/47217 (2013.01); H04N 21/2187 (2013.01); H04N 21/251 (2013.01); H04N 21/8456 (2013.01);
Abstract

Techniques for using a machine learning model to determine a proper subset of a multimedia file for a viewer based on their interest without the need to actively control a media player timeline are described. As one example, a computer-implemented method includes receiving a request at a content delivery service from a media player of a viewer to play a proper subset of a live multimedia file for a category of content of the live multimedia file without the viewer actively controlling a timeline of the media player of the viewer, determining an indication of a prior multimedia playing interaction of the viewer with the content delivery service, partitioning, by the content delivery service, the live multimedia file into a video portion, an audio portion, and a text portion, determining, by the content delivery service, one or more labels for the video portion, the audio portion, and the text portion, determining, by a machine learning model of the content delivery service, a proper subset of segments of the live multimedia file to send to the viewer based at least in part on the indication and the one or more labels, and live streaming the proper subset of segments of the live multimedia file to the media player of the viewer.


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