Clustering complex multimedia objects using an ensemble approach

Ana Isabel Oviedo, Oscar Ortega

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

1 Cita (Scopus)

Resumen

A complex multimedia object is an information unit composed by multiple media types like text, images, audio and video. Applications related with huge sets of such objects exceed the human capacity to synthesize useful information. The search for similarities and dissimilarities among objects is a task that has been done through clustering analysis, which tries to find groups in unlabeled data sets. Such analysis applied to complex multimedia object sets has a special restriction. The method must analyze the multiple media types present in the objects. This paper proposes a clustering ensemble that jointly assesses several media types present in this kind of objects. The proposed ensemble was applied to cluster webpages, constructing a text and image clustering prototypes. The Hubert's statistic was used to evaluate the ensemble performance, showing that the proposed method creates clustering structures more similar to the real classification than a joint-feature vector.

Idioma originalInglés
Título de la publicación alojadaICPRAM 2012 - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods
Páginas134-143
Número de páginas10
EstadoPublicada - 2012
Publicado de forma externa
Evento1st International Conference on Pattern Recognition Applications and Methods, ICPRAM 2012 - Vilamoura, Algarve, Portugal
Duración: 6 feb. 20128 feb. 2012

Serie de la publicación

NombreICPRAM 2012 - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods
Volumen1

Conferencia

Conferencia1st International Conference on Pattern Recognition Applications and Methods, ICPRAM 2012
País/TerritorioPortugal
CiudadVilamoura, Algarve
Período6/02/128/02/12

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