Hierarchical visual motion retrieval system and its motion features

Seiji Okajima, Yoshihiro Okada

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

3 引用 (Scopus)

抜粋

This paper proposes a hierarchical visual motion retrieval system on the web. To make it possible for the user to retrieve motion data interactively and visually on a computer screen from coarse level to fine level about motion similarity, the proposed system employs tree based visualization method for the hierarchical structure of motion data. The hierarchical structure of motion data is constructed by recursively applying k-means clustering to them. For applying k-means clustering to motion data, their similarity features should be extracted from them. In this paper, the authors also propose such motion features based on the space division quantization method and position/speed information of motions. The paper clarifies the availability of the proposed features as similarity measure among motions by quantitative evaluations using an actual motion database.

元の言語英語
ホスト出版物のタイトルProceedings - International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2010
ページ90-97
ページ数8
DOI
出版物ステータス出版済み - 12 1 2010
イベント5th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2010 - Fukuoka, 日本
継続期間: 11 4 201011 6 2010

その他

その他5th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2010
日本
Fukuoka
期間11/4/1011/6/10

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software

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  • これを引用

    Okajima, S., & Okada, Y. (2010). Hierarchical visual motion retrieval system and its motion features. : Proceedings - International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2010 (pp. 90-97). [5664698] https://doi.org/10.1109/3PGCIC.2010.19