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Proceedings Paper

Fast indexing and searching for content-based image retrieval
Author(s): Jane You; Hong Shen
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Paper Abstract

This paper presents a general approach to fast image indexing and searching for content-based image retrieval on a network of workstation clusters. Three primary issues in image retrieval are discussed: image feature extraction and representation, similarity measure, and searching methods. A wavelet based image feature extraction scheme is introduced to represent images with multiple features such as colors, textures and shapes. In addition, a feature component code is proposed to facilitate a dynamic image indexing scheme where images are queried by different features or combinations. Furthermore, the relevance feedback technique for information retrieval is used to convert image feature vectors to weight- term vectors for efficient searching.

Paper Details

Date Published: 6 July 1998
PDF: 7 pages
Proc. SPIE 3387, Visual Information Processing VII, (6 July 1998); doi: 10.1117/12.316410
Show Author Affiliations
Jane You, Griffith Univ./Nathan (Australia)
Hong Shen, Griffith Univ./Nathan (Australia)

Published in SPIE Proceedings Vol. 3387:
Visual Information Processing VII
Stephen K. Park; Richard D. Juday, Editor(s)

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