Court-Based Volleyball Video Summarization Focusing on Rally Scene

Takahiro Itazuri, Tsukasa Fukusato, Shugo Yamaguchi, Shigeo Morishima

    研究成果: Conference contribution

    1 引用 (Scopus)

    抜粋

    In this paper, we propose a video summarization system for volleyball videos. Our system automatically detects rally scenes as self-consumable video segments and evaluates rally-rank for each rally scene to decide priority. In the priority decision, features representing the contents of the game are necessary; however such features have not been considered in most previous methods. Although several visual features such as the position of a ball and players should be used, acquisition of such features is still non-robust and unreliable in low resolution or low frame rate volleyball videos. Instead, we utilize the court transition information caused by camera operation. Experimental results demonstrate the robustness of our rally scene detection and the effectiveness of our rally-rank to reflect viewers' preferences over previous methods.

    元の言語English
    ホスト出版物のタイトルProceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017
    出版者IEEE Computer Society
    ページ179-186
    ページ数8
    2017-July
    ISBN(電子版)9781538607336
    DOI
    出版物ステータスPublished - 2017 8 22
    イベント30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017 - Honolulu, United States
    継続期間: 2017 7 212017 7 26

    Other

    Other30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017
    United States
    Honolulu
    期間17/7/2117/7/26

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition
    • Electrical and Electronic Engineering

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  • これを引用

    Itazuri, T., Fukusato, T., Yamaguchi, S., & Morishima, S. (2017). Court-Based Volleyball Video Summarization Focusing on Rally Scene. : Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017 (巻 2017-July, pp. 179-186). [8014762] IEEE Computer Society. https://doi.org/10.1109/CVPRW.2017.28