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Augmenting metadata of digital objects

  • US 8,856,051 B1
  • Filed: 04/08/2011
  • Issued: 10/07/2014
  • Est. Priority Date: 04/08/2011
  • Status: Active Grant
First Claim
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1. A computer-implemented method comprising:

  • accessing a set of videos;

    determining degrees of similarity between pairs of the videos;

    for each video of a plurality of the videos, training a classifier for the video, the training comprising;

    forming, for the video, a training set comprising other ones of the videos based at least in part on the degrees of similarity; and

    training the classifier for the video based at least in part on audiovisual features extracted from the videos in the training set;

    applying the trained classifier for a first one of the videos to a second one of the videos to determine a degree of similarity between the second one of the videos and the first one of the videos; and

    responsive to the degree of similarity determined by applying the trained classifier being above a threshold value;

    based on the degree of similarity determined by applying the trained classifier, reducing cluster weights derived from user-supplied textual metadata of the first one of the videos, thereby obtaining first reduced cluster weight metadata; and

    associating the first reduced cluster weight metadata as metadata of the second one of the videos.

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