Contribution of NLP to the Content Indexing of Multimedia Documents

T. Declerck, P. Enser (Editor), H. Saggion, Y. Kompatsiaris (Editor), Jan Kuper, N.E. O' Connor (Editor), A. Samiotou, P. Wittenburg, J. Contreras

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    Abstract

    This paper describes the role natural language processing (NLP) can play for multimedia applications. As an example of such an application, we present an approach dealing with the conceptual indexing of soccer videos which the help of structured information automatically extracted by NLP tools from multiple sources of information relating to video content, consisting in a rich range of textual and transcribed sources covering soccer games. This work has been investigated and developed in the EU funded project MUMIS. As a second example of such an application, we describe briefly ongoing work in the context of the Esperonto project dealing with upgrading the actual web towards the Semantic Web (SW), including the automatic semantic indexing of web pages containing a combination of text and images.
    Original languageUndefined
    Pages610-618
    Number of pages9
    Publication statusPublished - 2004
    EventInternational Conference on Image and Video Retrieval (CIVR'04) - Dublin
    Duration: 21 Jul 200423 Jul 2004

    Conference

    ConferenceInternational Conference on Image and Video Retrieval (CIVR'04)
    Period21/07/0423/07/04
    Other21-23 July 2004

    Keywords

    • EWI-6780
    • IR-63395

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