Measuring Similarity in the Semantic Representation of Moving Objects in Video

  • Miyoung Cho
  • Dan Song
  • Chang Choi
  • Pankoo Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4092)


There are more and more researchers concentrate on the spatio-temporal relationships during the video retrieval process. However, these researches are just limited to trajectory-based or content-based retrieval, and we seldom retrieve information referring to semantics. For satisfying the naive users’ requirement from the common point of view, 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 motions. And, in the experiment part, we evaluate our new approach using trajectory distance based on spatial relations to distinguish the conceptual similarity and get the satisfactory results.


Spatial Relation Semantic Similarity Semantic Representation Topological Relation Link Type 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Miyoung Cho
    • 1
  • Dan Song
    • 1
  • Chang Choi
    • 1
  • Pankoo Kim
    • 2
  1. 1.Dept. of Computer ScienceChosun UniversityKorea
  2. 2.Dept. of CSEChosun UniversityKorea

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