3D multimedia data search system based on stochastic ARG matching method

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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 languageEnglish
Title of host publicationAdvances in Multimedia Modeling - 15th International Multimedia Modeling Conference, MMM 2009, Proceedings
Pages379-389
Number of pages11
DOIs
Publication statusPublished - 2009
Event15th International Multimedia Modeling Conference, MMM 2009 - Sophia-Antipolis, France
Duration: Jan 7 2009Jan 9 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5371 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Multimedia Modeling Conference, MMM 2009
CountryFrance
CitySophia-Antipolis
Period1/7/091/9/09

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of '3D multimedia data search system based on stochastic ARG matching method'. Together they form a unique fingerprint.

Cite this