Article
A similarity measure between videos using alignment, graphical and speech features
Author/s | Fuentes, D.
Bardeli, R. Ortega Ramírez, Juan Antonio ![]() ![]() ![]() ![]() ![]() ![]() ![]() González Abril, Luis ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Department | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos Universidad de Sevilla. Departamento de Economía Aplicada I |
Publication Date | 2012 |
Deposit Date | 2023-02-14 |
Published in |
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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, ... 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. |
Funding agencies | Ministerio de Ciencia e Innovación (MICIN). España |
Project ID. | TIN2009–14378-C02–01
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Citation | Fuentes, 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. |
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