Multimodal content-based video retrieval

V. Mihajlovic, M. Petkovic, W. Jonker, H.M. Blanken

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

    Abstract

    This chapter is a case study showing how important events (highlights) can be automatically detected in video recordings of Formula 1 car racing. Numerous approaches presented in literature have shown that it is becoming possible to extract interesting events from video. However, the majority of the approaches uses individual visual or audio cues. According to the current understanding of human perception it is expected that using evidence obtained from different modalities should result in a more robust and accurate perception of video. On the other hand, fusion of multimodal evidence is quite challenging, since it has to deal with indications which may contradict each other. In this chapter we deal with three topics, one being fusion of evidence from different modalities.
    Original languageEnglish
    Title of host publicationMultimedia Retrieval
    EditorsH.M. Blanken, A.P. Vries, de, H.E. Blok, L. Feng
    Place of PublicationBerlin
    PublisherSpringer
    Pages271-294
    ISBN (Print)978-3-540-72894-8
    DOIs
    Publication statusPublished - 2007

    Publication series

    NameData-Centric Systems and Applications
    ISSN (Print)2197-9723

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