Video clustering based on the collaboration of multimedia clusterers

Ana I. Oviedo, Oscar Ortega, José M. Perea-Ortega, Emilio Sanchis

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This paper addresses the task of video clustering, representing the videos as complex multimedia objects, which are an aggregation of heterogeneous data (text, images and audio) as a single unit. In support to the development of this task, this paper proposes a new method based on the collaboration of clusterers evaluating the multimedia resources present in videos. The new method, called Multimedia Collaborative Multi-clustering, is evaluated using the video set of MediaEval 2011, implementing a text clusterer with the speech transcription provided by the video set, an image clusterer with keyframes also provided by the video set, and an audio clusterer with the acoustic signal of the videos. A comparison against several solutions found in the literature demonstrates the feasibility of the proposed method, which creates clustering structures closer to the actual classification of the videos than the clusters produced by other solutions.

Idioma originalInglés
Título de la publicación alojada38th Latin America Conference on Informatics, CLEI 2012 - Conference Proceedings
DOI
EstadoPublicada - 2012
Publicado de forma externa
Evento38th Latin America Conference on Informatics, CLEI 2012 - Medellin, Colombia
Duración: 1 oct. 20125 oct. 2012

Serie de la publicación

Nombre38th Latin America Conference on Informatics, CLEI 2012 - Conference Proceedings

Conferencia

Conferencia38th Latin America Conference on Informatics, CLEI 2012
País/TerritorioColombia
CiudadMedellin
Período1/10/125/10/12

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