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: 30 January 2003

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
(2)
Department of Electrical and Computer Engineering, University of British Columbia

Copyright

© Copyright © 2003 Hindawi Publishing Corporation 2003