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  • Research Article
  • Open Access

Motion Pattern-Based Video Classification and Retrieval

EURASIP Journal on Advances in Signal Processing20032003:141352

  • Received: 25 March 2002
  • Published:


Today′s content-based video retrieval technologies are still far from human′s requirements. A fundamental reason is the lack of content representation that is able to bridge the gap between visual features and semantic conception in video. In this paper, we propose a motion pattern descriptor, motion texture that characterizes motion in a generic way. With this representation, we design a semantic classification scheme to effectively map video clips to semantic categories. Support vector machines (SVMs) are used as the classifiers. In addition, this scheme also improves significantly the performance of motion-based shot retrieval due to the comprehensiveness and effectiveness of motion pattern descriptor and the semantic classification capability as shown by experimental evaluations.


  • motion pattern descriptor
  • video classification
  • video retrieval
  • machine learning

Authors’ Affiliations

Microsoft Research Asia, Beijing Sigma Center, No. 49, Zhichun Road, Hai Dian District, Beijing, 100080, China


© Copyright © 2003 Hindawi Publishing Corporation 2003