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Proceedings Paper

ViBE video database system: an update and further studies
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Paper Abstract

In this paper we extend the shot transition detection component of the ViBE video database system to include gradual scene changes. ViBE, a browsable/searchable paradigm for organizing video data containing a large number of sequences, is being developed at Purdue as a testbed to explore ideas and concepts in video databases. We also present result on the performance of our cut detection algorithm using a large test set. The performance of two other techniques are compared against our method.

Paper Details

Date Published: 23 December 1999
PDF: 9 pages
Proc. SPIE 3972, Storage and Retrieval for Media Databases 2000, (23 December 1999); doi: 10.1117/12.373549
Show Author Affiliations
Cuneyt M. Taskiran, Purdue Univ. (United States)
Charles A. Bouman, Purdue Univ. (United States)
Edward J. Delp III, Purdue Univ. (United States)

Published in SPIE Proceedings Vol. 3972:
Storage and Retrieval for Media Databases 2000
Minerva M. Yeung; Boon-Lock Yeo; Charles A. Bouman, Editor(s)

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