BIROn - Birkbeck Institutional Research Online

    Semantic video shot segmentation based on color ratio feature and SVM

    Niu, Z. and Gao, X. and Tao, D. and Li, Xuelong (2008) Semantic video shot segmentation based on color ratio feature and SVM. In: UNSPECIFIED (ed.) International Conference on Cyberworlds. New York, USA: Institute of Electrical and Electronics Engineers, pp. 157-162. ISBN 9780769533810.

    Full text not available from this repository.

    Abstract

    With the fast development of video semantic analysis, there has been increasing attention to the typical issue of the semantic analysis of soccer program. Based on the color feature analysis, this paper focuses on the video shot segmentation problem from the perspective of semantic analysis, i.e. the semantic shot segmentation. Most existing works segment and classify the shot by using the dominant color of the field in soccer video. In this paper, we extend the traditional dominant color to several semantic colors, and define the color ratio feature. Then, the support vector machine is used for shot classification. The experimental result shows that the color ratio feature is useful to improve the performance. Furthermore, considering the temporal variations in the semantic color due to environment, an adaptive semantic color extraction algorithm is proposed, and the influence of the number of semantic colors on classification precision is evaluated also.

    Metadata

    Item Type: Book Section
    Keyword(s) / Subject(s): semantic color, shot segmentation, SVM
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 12 Jul 2013 09:29
    Last Modified: 11 Oct 2016 15:27
    URI: https://eprints.bbk.ac.uk/id/eprint/7666

    Statistics

    Downloads
    Activity Overview
    0Downloads
    121Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item