Measuring similarity in the semantic representation of moving objects in video

  • Authors:
  • Miyoung Cho;Dan Song;Chang Choi;Pankoo Kim

  • Affiliations:
  • Dept. of Computer Science, Chosun University, Korea;Dept. of Computer Science, Chosun University, Korea;Dept. of Computer Science, Chosun University, Korea;Dept. of CSE, Chosun University, Korea

  • Venue:
  • KSEM'06 Proceedings of the First international conference on Knowledge Science, Engineering and Management
  • Year:
  • 2006

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Abstract

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.