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Comparison Between Motion Verbs Using Similarity Measure for the Semantic Representation of Moving Object

  • Miyoung Cho
  • Dan Song
  • Chang Choi
  • Junho Choi
  • Jongan Park
  • Pankoo Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4071)

Abstract

Most of the researchers have used spatio-temporal relations for retrieval in video. It’s just trajectory-based or content-based retrieval. However, we seldom retrieve information referring to semantics. So, in this paper, we propose a novel approach for motion recognition from the aspect of semantic meaning. This issue can be addressed through a hierarchical model that explains how the human language interacts with human motions. And, in the experiment part, we evaluate our new approach using trajectory distance based on spatio-temporal relations to distinguish the conceptual similarity and get the satisfactory results.

Keywords

Spatial Relation Semantic Representation Topological Relation Video Retrieval Conceptual Description 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Miller, G.A.: Introduction to WordNet: An On-line Lexical Database. International Journal of Lexicography (1990)Google Scholar
  2. 2.
  3. 3.
    Levin, B.: English Verb Classes and Alternations. University of Chicago Press, Chicago (1993)Google Scholar
  4. 4.
    Li, J.Z., Tamer Ozsu, M., Szafron, D.: Modeling of Moving Objects in a Video Database. In: Proceedings of the International Conference on Multimedia Computing and Systems, pp. 336–343 (1997)Google Scholar
  5. 5.
    Shim, C.-B., Chang, J.-W.: Spatio-temporal Representation and Retrieval Using Moving Object’s Trajectories. In: ACM Multimedia Workshops, pp. 209–212 (2000)Google Scholar
  6. 6.
    Erwig, M., Schneider, M.: Query-By-Trace: Visual Predicate Specification in Spatio-Temporal Databases. In: 5th IFIP Conf. on Visual databases (2000)Google Scholar
  7. 7.
    Aghbari, Z., Kaneko, K., Makinouchi, A.: Modeling and Querying Videos by Content Trajectories. In: Proceedings of the International Conference and Multimedia Expo., pp. 463–466 (2000)Google Scholar
  8. 8.
    Chang, J.-W., Kim, Y.-J.: Spatial-match iconic image retrieval with ranking in multimedia databases. In: Wang, X.S., Yu, G., Lu, H. (eds.) WAIM 2001. LNCS, vol. 2118, p. 3. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  9. 9.
    Chen, P.-Y., Chen, A.L.P.: Video Retrieval Based on Video Motion Tracks of Moving Objects. In: Proceedings of SPIE, vol. 5307, pp. 550–558 (2003)Google Scholar
  10. 10.
    Hongeng, S., Nevatia, R., Bremond, F.: Video-based event recognition: Activity representation and probabilistic recognition method. Elsevier, Amsterdam (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Miyoung Cho
    • 1
  • Dan Song
    • 1
  • Chang Choi
    • 1
  • Junho Choi
    • 1
  • Jongan Park
    • 2
  • Pankoo Kim
    • 3
  1. 1.Dept. of Computer ScienceChosun UniversityGwangjuKorea
  2. 2.Dept. of Information and Communication EngineeringChosun UniversityKorea
  3. 3.Dept. of CSEChosun UniversityKorea

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