2023-02-142023-02-142012Fuentes, D., Bardeli, R., Ortega Ramírez, J.A. y González Abril, L. (2012). A similarity measure between videos using alignment, graphical and speech features. Expert Systems with Applications, 39 (11), 10278-10282. https://doi.org/10.1016/j.eswa.2012.02.169.0957-4174 (impreso)1873-6793 (online)https://hdl.handle.net/11441/142692A 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.application/pdf5engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Information retrievalContent segmentationBipartite matchingA similarity measure between videos using alignment, graphical and speech featuresinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1016/j.eswa.2012.02.169