Clustering complex multimedia objects using an ensemble approach

Ana Isabel Oviedo, Oscar Ortega

    Producción científica: Capítulo del libro/informe/acta de congresoPonencia publicada en las memorias del evento con ISBNrevisión 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
    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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