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Video shot segmentation using singular value decomposition

Published: 06 July 2003 Publication History

Abstract

A new method for detecting shot boundaries in video sequences using singular value decomposition (SVD) is proposed. The method relies on performing singular value decomposition on the matrix A created from 3D histograms of single frames. We have used SVD for its capabilities to derive a low dimensional refined feature space from a high dimensional raw feature space, where pattern similarity can easily be detected. The method can detect cuts and gradual transitions, such as dissolves and fades, which cannot be detected easily by entropy measures.

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  • (2016)Detecting Video Shot Boundaries by Modified TomographyProceedings of the Third International Symposium on Computer Vision and the Internet10.1145/2983402.2983441(131-135)Online publication date: 21-Sep-2016
  • (2012)PCA based video denoising in a non-local means frameworkProceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing10.1145/2425333.2425397(1-8)Online publication date: 16-Dec-2012
  • (2011)Affect-based adaptive presentation of home videosProceedings of the 19th ACM international conference on Multimedia10.1145/2072298.2072370(553-562)Online publication date: 28-Nov-2011
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  1. Video shot segmentation using singular value decomposition

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    cover image Guide Proceedings
    ICME '03: Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
    July 2003
    9845 pages
    ISBN:0780379659

    Publisher

    IEEE Computer Society

    United States

    Publication History

    Published: 06 July 2003

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    Cited By

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    • (2016)Detecting Video Shot Boundaries by Modified TomographyProceedings of the Third International Symposium on Computer Vision and the Internet10.1145/2983402.2983441(131-135)Online publication date: 21-Sep-2016
    • (2012)PCA based video denoising in a non-local means frameworkProceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing10.1145/2425333.2425397(1-8)Online publication date: 16-Dec-2012
    • (2011)Affect-based adaptive presentation of home videosProceedings of the 19th ACM international conference on Multimedia10.1145/2072298.2072370(553-562)Online publication date: 28-Nov-2011
    • (2010)VloggingACM Computing Surveys10.1145/1749603.174960642:4(1-57)Online publication date: 23-Jun-2010
    • (2009)Automatic scene detection for advanced story retrievalExpert Systems with Applications: An International Journal10.1016/j.eswa.2008.07.00936:3(5976-5986)Online publication date: 1-Apr-2009
    • (2009)Video scene segmentation and semantic representation using a novel schemeMultimedia Tools and Applications10.1007/s11042-008-0233-042:2(183-205)Online publication date: 1-Apr-2009
    • (2007)Inferring the everyday task capabilities of locationsProceedings of the 3rd international conference on Location-and context-awareness10.5555/1777235.1777249(157-174)Online publication date: 20-Sep-2007

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