Independent component analysis for understanding multimedia content

Thomas Kolenda, Lars Kai Hansen, Jan Larsen, Ole Winther, H. Bourlard et al. (Editor)

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    Abstract

    Independent component analysis of combined text and image data from Web pages has potential for search and retrieval applications by providing more meaningful and context dependent content. It is demonstrated that ICA of combined text and image features has a synergistic effect, i.e., the retrieval classification rates increase if based on multimedia components relative to single media analysis. For this purpose a simple probabilistic supervised classifier which works from unsupervised ICA features is invoked. In addition, we demonstrate the suggested framework for automatic annotation of descriptive key words to images.
    Original languageEnglish
    Title of host publicationProceedings of IEEE Workshop on Neural Networks for Signal Processing XII, Martigny, Valais, Switzerland, Sept. 4-6
    PublisherIEEE Press
    Publication date2002
    Pages757-766
    ISBN (Print)0-7803-7616-1
    DOIs
    Publication statusPublished - 2002
    Event2002 IEEE Workshop on Neural Networks for Signal Processing XII - Matigny, Switzerland
    Duration: 4 Sep 20026 Sep 2002
    http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8007

    Conference

    Conference2002 IEEE Workshop on Neural Networks for Signal Processing XII
    CountrySwitzerland
    CityMatigny
    Period04/09/200206/09/2002
    Internet address

    Bibliographical note

    Copyright: 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

    Keywords

    • ICA
    • webmining
    • multimedia signal processing

    Cite this

    Kolenda, T., Hansen, L. K., Larsen, J., Winther, O., & Bourlard et al., H. (Ed.) (2002). Independent component analysis for understanding multimedia content. In Proceedings of IEEE Workshop on Neural Networks for Signal Processing XII, Martigny, Valais, Switzerland, Sept. 4-6 (pp. 757-766). IEEE Press. https://doi.org/10.1109/NNSP.2002.1030096