The usefulness of a video database depends on
whether the video of interest can be easily located.
In this paper, we propose a video retrieval algorithm
based on the integration of several visual cues. In
contrast to key-frame based representation of shot,
our approach analyzes all frames within a shot to
construct a compact representation of video shot. In
the video matching step, by integrating the color and
motion features, a similarity measure is defined to
locate the occurrence of similar video clips in the
database. Therefore, our approach is able to fully
exploit the spatio-temporal information contained in
video. Experimental results indicate that the proposed
approach is effective and outperforms some existing
technique. |
| Cite as: Chen, L.-H., Chin, K.-H. and Liao, H.-Y. (2008). An Integrated Approach to Video Retrieval. In Proc. Nineteenth Australasian Database Conference (ADC 2008), Wollongong, NSW, Australia. CRPIT, 75. Fekete, A. and Lin, X., Eds. ACS. 49-55. |
 (from crpit.com)
(local if available)
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