OLIVE: speech based video retrieval

Klaus Netter, Franciska de Jong

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Abstract

    This paper describes the Olive project which aims to contribute to the needs of video archives by supporting the automated indexing of video material on the basis of human language processing. Olive develops speech recognition to automatically derive transcripts for the sound track, thus generating time coded linguistic elements which are the basis for text-based retrieval functionality.
    Original languageEnglish
    Title of host publicationProceedings Language Technology in Multimedia Information Retrievel
    Subtitle of host publicationProceedings Twente Workshop on Language Technology 14
    EditorsDjoerd Hiemstra, Franciska de Jong, Klaus Netter
    Place of PublicationEnschede
    PublisherUniversity of Twente
    Pages187-188
    Publication statusPublished - 27 Jan 1998
    EventTwente Workshop on Language Technology, TWLT 14: Language Technology in Multimedia Information Retrieval - University of Twente, Enschede, Netherlands
    Duration: 7 Dec 19988 Dec 1998
    Conference number: 14

    Workshop

    WorkshopTwente Workshop on Language Technology, TWLT 14
    Abbreviated titleTWLT
    CountryNetherlands
    CityEnschede
    Period7/12/988/12/98

    Keywords

    • METIS-119187

    Fingerprint Dive into the research topics of 'OLIVE: speech based video retrieval'. Together they form a unique fingerprint.

    Cite this