Feature preserving motion compression based on hierarchical curve simplification

Hiroaki Etou, Yoshihiro Okada, Koichi Niijima

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

10 被引用数 (Scopus)

抄録

The authors have been studying on motion database systems. When entering an example motion as the query for the similarity search of motion data, it is natural way to enter it as a semantic primitive motion, i.e., "walk", "jump", "run" and so on. Mostly one motion data consists of several primitive motions. It is necessary to divide a composite motion into primitive motions. There are no algorithms able to automatically divide a composite motion into semantic primitive motions perfectly because the semantic meanings of primitive motions are strongly depending upon the human sense. A curve simplification algorithm is used for the key-posture extraction from motion data. This helps us to divide a composite motion into its primitive motions. The key-posture extraction is also used for the motion compression. In this paper, the authors propose new efficient key-posture extraction method that hierarchically applies the curve simplification algorithm to the feature joints of a human figure model.

本文言語英語
ホスト出版物のタイトル2004 IEEE International Conference on Multimedia and Expo (ICME)
ページ1435-1438
ページ数4
出版ステータス出版済み - 2004
イベント2004 IEEE International Conference on Multimedia and Expo (ICME) - Taipei, 台湾
継続期間: 6月 27 20046月 30 2004

出版物シリーズ

名前2004 IEEE International Conference on Multimedia and Expo (ICME)
2

その他

その他2004 IEEE International Conference on Multimedia and Expo (ICME)
国/地域台湾
CityTaipei
Period6/27/046/30/04

!!!All Science Journal Classification (ASJC) codes

  • 工学(全般)

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