Learning algorithms and frame signatures for video similarity ranking

Teruki Horie, Akihiro Shikano, Hiromichi Iwase, Yasuo Matsuyama*

*この研究の対応する著者

    研究成果: Conference contribution

    1 被引用数 (Scopus)

    抄録

    Learning algorithms that harmonize standardized video similarity tools and an integrated system are presented. The learning algorithms extract exemplars reflecting time courses of video frames. There were five types of such clustering methods. Among them, this paper chooses a method called time-partition pairwise nearest-neighbor because of its reduced complexity. On the similarity comparison among videos whose lengths vary, the M-distance that can absorb the difference of the exemplar cardinalities is utilized both for global and local matching. Given the order-aware clustering and the M-distance comparison, system designers can build a basic similar-video retrieval system. This paper promotes further enhancement on the exemplar similarity that matches the video signature tools for the multimedia content description interface by ISO/IEC. This development showed the ability of the similarity ranking together with the detection of plagiarism of video scenes. Precision-recall curves showed a high performance in this experiment.

    本文言語English
    ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    出版社Springer Verlag
    ページ147-157
    ページ数11
    9489
    ISBN(印刷版)9783319265315
    DOI
    出版ステータスPublished - 2015
    イベント22nd International Conference on Neural Information Processing, ICONIP 2015 - Istanbul, Turkey
    継続期間: 2015 11月 92015 11月 12

    出版物シリーズ

    名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    9489
    ISSN(印刷版)03029743
    ISSN(電子版)16113349

    Other

    Other22nd International Conference on Neural Information Processing, ICONIP 2015
    国/地域Turkey
    CityIstanbul
    Period15/11/915/11/12

    ASJC Scopus subject areas

    • コンピュータ サイエンス(全般)
    • 理論的コンピュータサイエンス

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