MUMIS - Advanced information extraction for multimedia indexing and searching

T. Declerck, H. Cunningham, H. Saggion, Jan Kuper, Dennis Reidsma, P. Wittenburg

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    Abstract

    This paper describes the role advanced natural language processing (NLP) and especially information extraction (IE) can play for multimedia applications. As an example of such an application, we present an approach dealing with the automatic conceptual indexing of multimedia documents, which subsequently can be searched by semantic categories instead of key words. A novelty of the approach is to exploit multiple sources of information relating to video content. In the MUMIS scenario, the source of information consists in a rich range of textual and transcribed sources covering soccer games.
    Original languageEnglish
    Title of host publicationDigital Media Processing for Multimedia Interactive Services
    Subtitle of host publicationProceedings of the 4th European Workshop on Image Analysis for Multimedia Interactive Services Queen Mary, University of London, 9 – 11 April 2003
    Pages553-556
    Number of pages4
    ISBN (Electronic)978-981-4486-10-1
    DOIs
    Publication statusPublished - 2003
    Event4th European Workshop on Image Analysis for Multimedia Interactive Services 2003 - The People's Palace, London, United Kingdom
    Duration: 9 Apr 200311 Apr 2003
    Conference number: 4

    Conference

    Conference4th European Workshop on Image Analysis for Multimedia Interactive Services 2003
    Abbreviated titleWIAMIS 2003
    Country/TerritoryUnited Kingdom
    CityLondon
    Period9/04/0311/04/03

    Keywords

    • EWI-6693
    • IR-63373

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