Indexing in video databases

Arun Hampapur; Ramesh C. Jain; Terry E. Weymouth

doi:10.1117/12.205296

23 March 1995 Indexing in video databases

Arun Hampapur, Ramesh C. Jain, Terry E. Weymouth

Proceedings Volume 2420, Storage and Retrieval for Image and Video Databases III; (1995) https://doi.org/10.1117/12.205296
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

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.

Citation Download Citation

Arun Hampapur, Ramesh C. Jain, and Terry E. Weymouth "Indexing in video databases", Proc. SPIE 2420, Storage and Retrieval for Image and Video Databases III, (23 March 1995); https://doi.org/10.1117/12.205296

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