Motion Guided Video Sequence Synchronization

    Research output: Chapter in Book/Conference paperConference paper

    4 Citations (Scopus)

    Abstract

    We present an algorithm that synchronizes two short video sequences where an object undergoes ballistic motion against stationary scene points. The object's motion and epipolar geometry are exploited to guide the algorithm to the correct synchronization in an iterative manner. Our algorithm accurately synchronizes videos recorded at different frame rates, and takes few iterations to converge to sub-frame accuracy. We use synthetic data to analyze our algorithm's accuracy under the influence of noise. We demonstrate that it accurately synchronizes real video sequences, and evaluate its performance against manual synchronization.
    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 3852
    Place of PublicationGermany
    PublisherSpringer-Verlag London Ltd.
    Pages832-841
    VolumeII
    ISBN (Print)03029743
    Publication statusPublished - 2006
    EventMotion Guided Video Sequence Synchronization - Hyderabad
    Duration: 1 Jan 2006 → …

    Conference

    ConferenceMotion Guided Video Sequence Synchronization
    Period1/01/06 → …

    Fingerprint

    Synchronization
    Ballistics
    Geometry

    Cite this

    Wedge, D., Huynh, D., & Kovesi, P. (2006). Motion Guided Video Sequence Synchronization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 3852 (Vol. II, pp. 832-841). Germany: Springer-Verlag London Ltd..
    Wedge, Daniel ; Huynh, Du ; Kovesi, Peter. / Motion Guided Video Sequence Synchronization. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 3852. Vol. II Germany : Springer-Verlag London Ltd., 2006. pp. 832-841
    @inproceedings{ede150a148994bd9bf19fc5d2d5b6e18,
    title = "Motion Guided Video Sequence Synchronization",
    abstract = "We present an algorithm that synchronizes two short video sequences where an object undergoes ballistic motion against stationary scene points. The object's motion and epipolar geometry are exploited to guide the algorithm to the correct synchronization in an iterative manner. Our algorithm accurately synchronizes videos recorded at different frame rates, and takes few iterations to converge to sub-frame accuracy. We use synthetic data to analyze our algorithm's accuracy under the influence of noise. We demonstrate that it accurately synchronizes real video sequences, and evaluate its performance against manual synchronization.",
    author = "Daniel Wedge and Du Huynh and Peter Kovesi",
    year = "2006",
    language = "English",
    isbn = "03029743",
    volume = "II",
    pages = "832--841",
    booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 3852",
    publisher = "Springer-Verlag London Ltd.",
    address = "Germany",

    }

    Wedge, D, Huynh, D & Kovesi, P 2006, Motion Guided Video Sequence Synchronization. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 3852. vol. II, Springer-Verlag London Ltd., Germany, pp. 832-841, Motion Guided Video Sequence Synchronization, 1/01/06.

    Motion Guided Video Sequence Synchronization. / Wedge, Daniel; Huynh, Du; Kovesi, Peter.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 3852. Vol. II Germany : Springer-Verlag London Ltd., 2006. p. 832-841.

    Research output: Chapter in Book/Conference paperConference paper

    TY - GEN

    T1 - Motion Guided Video Sequence Synchronization

    AU - Wedge, Daniel

    AU - Huynh, Du

    AU - Kovesi, Peter

    PY - 2006

    Y1 - 2006

    N2 - We present an algorithm that synchronizes two short video sequences where an object undergoes ballistic motion against stationary scene points. The object's motion and epipolar geometry are exploited to guide the algorithm to the correct synchronization in an iterative manner. Our algorithm accurately synchronizes videos recorded at different frame rates, and takes few iterations to converge to sub-frame accuracy. We use synthetic data to analyze our algorithm's accuracy under the influence of noise. We demonstrate that it accurately synchronizes real video sequences, and evaluate its performance against manual synchronization.

    AB - We present an algorithm that synchronizes two short video sequences where an object undergoes ballistic motion against stationary scene points. The object's motion and epipolar geometry are exploited to guide the algorithm to the correct synchronization in an iterative manner. Our algorithm accurately synchronizes videos recorded at different frame rates, and takes few iterations to converge to sub-frame accuracy. We use synthetic data to analyze our algorithm's accuracy under the influence of noise. We demonstrate that it accurately synchronizes real video sequences, and evaluate its performance against manual synchronization.

    M3 - Conference paper

    SN - 03029743

    VL - II

    SP - 832

    EP - 841

    BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 3852

    PB - Springer-Verlag London Ltd.

    CY - Germany

    ER -

    Wedge D, Huynh D, Kovesi P. Motion Guided Video Sequence Synchronization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 3852. Vol. II. Germany: Springer-Verlag London Ltd. 2006. p. 832-841