3D model search using stochastic attributed relational tree matching

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

抄録

Recent advances in computer hardware technology enable us to handle 3D multimedia data more easily and many 3D Computer Graphics (CG) contents have been created and stored for various application fields. In this situation, we need any 3D multimedia data search system that allows us to efficiently retrieve our required data. The authors have proposed a 3D multimedia data search system using stochastic Attributed Relational Graph (ARG) matching. However, there is a problem that stochastic ARG matching needs huge calculation cost. To reduce such a cost, the authors propose new matching algorithm, called stochastic Attributed Relational Tree (ART) matching because calculation cost of tree matching is less than that of graph matching. The authors applied stochastic ART matching method for 3D model search and obtained better performance rather than those of the conventional matching methods besides stochastic ARG matching method.

本文言語英語
ホスト出版物のタイトルAdvances in Multimedia Modeling - 17th International Multimedia Modeling Conference, MMM 2011, Proceedings
ページ348-358
ページ数11
PART 2
DOI
出版ステータス出版済み - 2011
イベント17th Multimedia Modeling Conference, MMM 2011 - Taipei, 台湾省、中華民国
継続期間: 1 5 20111 7 2011

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)
番号PART 2
6524 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他17th Multimedia Modeling Conference, MMM 2011
Country台湾省、中華民国
CityTaipei
Period1/5/111/7/11

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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