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

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


Expert Systems with Applications 39 (2012), Nr.11, S.10278-10282
ISSN: 0957-4174
Fraunhofer IAIS ()
information retrieval; content segmentation; bipartite matching

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.