Independent Component Analysis in Multimedia Modeling

Jan Larsen, Lars Kai Hansen, Thomas Kolenda, Finn Årup Nielsen, Shun-ichi Amari et al. (Editor)

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    Abstract

    Modeling of multimedia and multimodal data becomes increasingly important with the digitalization of the world. The objective of this paper is to demonstrate the potential of independent component analysis and blind sources separation methods for modeling and understanding of multimedia data, which largely refers to text, images/video, audio and combinations of such data. We review a number of applications within single and combined media with the hope that this might provide inspiration for further research in this area. Finally, we provide a detailed presentation of our own recent work on modeling combined text/image data for the purpose of cross-media retrieval.
    Original languageEnglish
    Title of host publicationFourth International Symposion on Independent Component Analysis and Blind Source Separation
    Publication date2003
    Pages687-696
    Publication statusPublished - 2003

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