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Proceedings Paper

Developing power tools for video indexing and retrieval
Author(s): HongJiang Zhang; Stephen W. Smoliar
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Paper Abstract

Computer-assisted content-based indexing is a critical enabling technology and currently a bottleneck in productive use of video resources. This paper presents the Video Classification Project, an effort toward automating content-based video indexing and retrieval, at the Institute of Systems Science of the National University of Singapore. We discuss in detail three goals of the project: image processing tools for video parsing, feature extraction and retrieval; a knowledge-based approach to representing video content; and stratified tools which allow greater flexibility in browsing a video resource, either before or after performing specific retrieval operations.

Paper Details

Date Published: 1 April 1994
PDF: 10 pages
Proc. SPIE 2185, Storage and Retrieval for Image and Video Databases II, (1 April 1994); doi: 10.1117/12.171771
Show Author Affiliations
HongJiang Zhang, National Univ. of Singapore (China)
Stephen W. Smoliar, National Univ. of Singapore (China)

Published in SPIE Proceedings Vol. 2185:
Storage and Retrieval for Image and Video Databases II
Carlton Wayne Niblack; Ramesh C. Jain, Editor(s)

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