Abstract
This paper treats a 3D multimedia data retrieval system based on a stochastic Attributed Relational Graph (ARG) matching method. ARG can be used to represent the structural feature of data, so using ARG as feature representation of 3D multimedia data, it is possible to accurately retrieve the user required data similar to his/her query in terms of its component structure. In this paper, the authors propose a 3D multimedia data search system consisting of an image/video-scene search system, a 3D model search system and a motion data search system. Each search system works commonly with a stochastic ARG matching engine. Experimental results show that the proposed system can effectively retrieve 3D multimedia data similar to the user's query in terms of component structure of the data. Especially, its 3D model search system and motion search system have better experimental results than that of other search systems.
| Original language | English |
|---|---|
| Title of host publication | Advances in Multimedia Modeling - 15th International Multimedia Modeling Conference, MMM 2009, Proceedings |
| Pages | 379-389 |
| Number of pages | 11 |
| DOIs | |
| Publication status | Published - Feb 4 2009 |
| Event | 15th International Multimedia Modeling Conference, MMM 2009 - Sophia-Antipolis, France Duration: Jan 7 2009 → Jan 9 2009 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 5371 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 15th International Multimedia Modeling Conference, MMM 2009 |
|---|---|
| Country | France |
| City | Sophia-Antipolis |
| Period | 1/7/09 → 1/9/09 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
Cite this
3D multimedia data search system based on stochastic ARG matching method. / Nakamura, Naoto; Takano, Shigeru; Okada, Yoshihiro.
Advances in Multimedia Modeling - 15th International Multimedia Modeling Conference, MMM 2009, Proceedings. 2009. p. 379-389 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5371 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - 3D multimedia data search system based on stochastic ARG matching method
AU - Nakamura, Naoto
AU - Takano, Shigeru
AU - Okada, Yoshihiro
PY - 2009/2/4
Y1 - 2009/2/4
N2 - This paper treats a 3D multimedia data retrieval system based on a stochastic Attributed Relational Graph (ARG) matching method. ARG can be used to represent the structural feature of data, so using ARG as feature representation of 3D multimedia data, it is possible to accurately retrieve the user required data similar to his/her query in terms of its component structure. In this paper, the authors propose a 3D multimedia data search system consisting of an image/video-scene search system, a 3D model search system and a motion data search system. Each search system works commonly with a stochastic ARG matching engine. Experimental results show that the proposed system can effectively retrieve 3D multimedia data similar to the user's query in terms of component structure of the data. Especially, its 3D model search system and motion search system have better experimental results than that of other search systems.
AB - This paper treats a 3D multimedia data retrieval system based on a stochastic Attributed Relational Graph (ARG) matching method. ARG can be used to represent the structural feature of data, so using ARG as feature representation of 3D multimedia data, it is possible to accurately retrieve the user required data similar to his/her query in terms of its component structure. In this paper, the authors propose a 3D multimedia data search system consisting of an image/video-scene search system, a 3D model search system and a motion data search system. Each search system works commonly with a stochastic ARG matching engine. Experimental results show that the proposed system can effectively retrieve 3D multimedia data similar to the user's query in terms of component structure of the data. Especially, its 3D model search system and motion search system have better experimental results than that of other search systems.
UR - http://www.scopus.com/inward/record.url?scp=59049088406&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=59049088406&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-92892-8_39
DO - 10.1007/978-3-540-92892-8_39
M3 - Conference contribution
AN - SCOPUS:59049088406
SN - 354092891X
SN - 9783540928911
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 379
EP - 389
BT - Advances in Multimedia Modeling - 15th International Multimedia Modeling Conference, MMM 2009, Proceedings
ER -