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Proceedings Paper

Indexing multispectral images for content-based retrieval
Author(s): Julio E. Barros; James C. French; Worthy N. Martin; Patrick M. Kelly; James M. White
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Paper Abstract

This paper discusses our view of image databases, content-based retrieval, and our experiences with an experimental system. We present a methodology in which efficient representation and indexing are the basis for retrieval of images by content as well as associated external information. In the example system images are indexed and accessed based on properties of the individual regions in the image. Regions in each image are indexed by their spectral characteristics, as well as by their shape descriptors and position information. The goal of the system is to reduce the number of images that need to be inspected by a user by quickly excluding substantial parts of the database. The system avoids exhaustive searching through the image database when a query is submitted.

Paper Details

Date Published: 31 January 1995
PDF: 12 pages
Proc. SPIE 2368, 23rd AIPR Workshop: Image and Information Systems: Applications and Opportunities, (31 January 1995); doi: 10.1117/12.200802
Show Author Affiliations
Julio E. Barros, Univ. of Virginia (United States)
James C. French, Univ. of Virginia (United States)
Worthy N. Martin, Univ. of Virginia (United States)
Patrick M. Kelly, Los Alamos National Lab. (United States)
James M. White, Los Alamos National Lab. (United States)


Published in SPIE Proceedings Vol. 2368:
23rd AIPR Workshop: Image and Information Systems: Applications and Opportunities
Peter J. Costianes, Editor(s)

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