Content-based video retrieval using moving objects' trajectories

    Research output: Contribution to conferenceChapterpeer-review

    Abstract

    In this paper, we present a content-based video retrieval using moving objects' trajectories. For this, we first present a spatio-temporal representation scheme for modeling moving objects. Secondly, we describe an efficient similar sub-trajectory retrieval scheme based on a new k-warping distance algorithm. To show the efficiency of our similar sub-trajectory retrieval scheme, we perform the performance comparison of our scheme with the existing sub-trajectory retrieval schemes.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    EditorsMircea Gh. Negoita, Robert J. Howlett, Lakhmi C. Jain
    PublisherSpringer Verlag
    Pages975-981
    Number of pages7
    ISBN (Print)9783540232063
    DOIs
    StatePublished - 2004

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume3214
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Quacquarelli Symonds(QS) Subject Topics

    • Computer Science & Information Systems

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