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Video content analysis for automatic demographics recognition of users and videos

  • US 10,210,462 B2
  • Filed: 11/24/2014
  • Issued: 02/19/2019
  • Est. Priority Date: 11/11/2010
  • Status: Active Grant
First Claim
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1. A computer-implemented method of using a video classifier model that correlates demographic information with characteristics of video content to recommend videos, the method comprising:

  • accessing, using a hardware processor, a set of videos from a digital video repository;

    for a given demographic attribute value of a demographic attribute, and for each video in the set of videos from the digital video repository, identifying, using the hardware processor, viewers of the video that have the demographic attribute value from a view log;

    forming, using the hardware processor, a positive training set for the demographic attribute value by selecting videos in the set of videos from the digital video repository having a percentage of viewers that exceeds a threshold percentage value with the demographic attribute value and forming a negative training set for the demographic attribute value by selecting a subset of remaining videos from the digital video repository that are not included in the positive training set;

    determining, using the hardware processor, for videos in the positive training set, features comprising demographic attribute values of uploaders of the videos in the positive training set;

    training, using the hardware processor, the video classifier model for the demographic attribute value using the determined features of the videos of the positive training set;

    determining, using the hardware processor, whether a given video is associated with the demographic attribute value by applying the trained video classifier model to the given video;

    generating, using the hardware processor, a list of recommended videos for a viewer having the demographic attribute value, wherein the list of recommended videos includes the given video that was determined by the application of the trained video classifier model to be associated with the demographic attribute value; and

    in response to detecting one or more viewers of the digital video repository that have the demographic attribute value, causing, using the hardware processor, the list of recommended videos to be presented to the one or more viewers.

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