Artículo
A similarity measure between videos using alignment, graphical and speech features
Autor/es | Fuentes, D.
Bardeli, R. Ortega Ramírez, Juan Antonio González Abril, Luis |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos Universidad de Sevilla. Departamento de Economía Aplicada I |
Fecha de publicación | 2012 |
Fecha de depósito | 2023-02-14 |
Publicado en |
|
Resumen | 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. |
Agencias financiadoras | Ministerio de Ciencia e Innovación (MICIN). España |
Identificador del proyecto | TIN2009–14378-C02–01 |
Cita | 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. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
A similarity measure between ... | 538.1Kb | [PDF] | Ver/ | |