A similarity measure between videos using alignment, graphical and speech features

  • Authors:

  • D. Fuentes;R. Bardeli;J. A. Ortega;L. Gonzalez-Abril

  • Affiliations:

  • Computer Languages and Systems Dept., University of Seville, 41012 Seville, Spain;Department Netmedia, Fraunhofer IAIS, Germany;Computer Languages and Systems Dept., University of Seville, 41012 Seville, Spain;Applied Economics I Dept., University of Seville, 41018 Seville, Spain

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2012

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Abstract

A novel video similarity measure is proposed by using visual features, alignment distances and speech transcripts. First, video files are represented by a sequence of segments each of which contains colour histograms, starting time, and a set of phonemes. After, textual, alignment and visual features are extracted of these segments. The following step, bipartite matching and statistical features are applied to find correspondences between segments. Finally, a similarity is calculated between videos. Experiments have been carried out and promising results have been obtained.