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Proceedings Paper

Indexing in video databases
Author(s): Arun Hampapur; Ramesh C. Jain; Terry E. Weymouth
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Paper Abstract

A video database provides content based access to video. This is achieved by organizing or indexing video data based on some set of features. This paper defines the problem of video indexing based on video data models. The procedure required to index video data is outlined. The use of semi-automatic techniques to speed up the indexing processes are explored. These techniques use image motion features to aid in the indexing process. The techniques developed have been applied to video data from cable television feed.

Paper Details

Date Published: 23 March 1995
PDF: 15 pages
Proc. SPIE 2420, Storage and Retrieval for Image and Video Databases III, (23 March 1995); doi: 10.1117/12.205296
Show Author Affiliations
Arun Hampapur, Univ. of Michigan (United States)
Ramesh C. Jain, Univ. of California/San Diego (United States)
Terry E. Weymouth, Univ. of Michigan (United States)


Published in SPIE Proceedings Vol. 2420:
Storage and Retrieval for Image and Video Databases III
Wayne Niblack; Ramesh C. Jain, Editor(s)

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