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  • Research Article
  • Open Access

Retrieval by Local Motion

EURASIP Journal on Advances in Signal Processing20032003:343204

https://doi.org/10.1155/S1110865703210076

  • Received: 15 May 2002
  • Published:

Abstract

Motion feature plays an important role in video retrieval. The current literature mostly addresses motion retrieval only by camera motion and global motion of individual video objects in a video scene. In this paper, we propose two new motion descriptors that capture the local motion of the video object within its bounding box. The proposed descriptors are rotation and scale invariant and based on the angular and circular area variances of the video object and the variances of the angular radial transform coefficients. Experiments show that ranking obtained by querying with our proposed descriptors closely match with the human ranking.

Keywords

  • video databases
  • video indexing and retrieval
  • object-based video
  • motion descriptor
  • MPEG-4
  • MPEG-7

Authors’ Affiliations

(1)
Ricoh California Research Center, 2882 Sand Hill Road, Suite 115, Menlo Park, CA 94025-7022, USA
(2)
Department of Electrical and Computer Engineering, University of British Columbia, 2356 Main Mall, Vancouver, British Columbia, V6T 1Z4, Canada

Copyright

© Copyright © 2003 Hindawi Publishing Corporation 2003

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