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Proceedings Paper

Hierarchical content-based image retrieval by dynamic indexing and guided search
Author(s): Jane You; King Hong Cheung; James Liu; Linong Guo
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Paper Abstract

This paper presents a new approach to content-based image retrieval by using dynamic indexing and guided search in a hierarchical structure, and extending data mining and data warehousing techniques. The proposed algorithms include: a wavelet-based scheme for multiple image feature extraction, the extension of a conventional data warehouse and an image database to an image data warehouse for dynamic image indexing, an image data schema for hierarchical image representation and dynamic image indexing, a statistically based feature selection scheme to achieve flexible similarity measures, and a feature component code to facilitate query processing and guide the search for the best matching. A series of case studies are reported, which include a wavelet-based image color hierarchy, classification of satellite images, tropical cyclone pattern recognition, and personal identification using multi-level palmprint and face features.

Paper Details

Date Published: 18 December 2003
PDF: 12 pages
Proc. SPIE 5307, Storage and Retrieval Methods and Applications for Multimedia 2004, (18 December 2003); doi: 10.1117/12.529100
Show Author Affiliations
Jane You, Hong Kong Polytechnic Univ. (China)
King Hong Cheung, Hong Kong Polytechnic Univ. (China)
James Liu, Hong Kong Polytechnic Univ. (China)
Linong Guo, Hong Kong Polytechnic Univ. (China)


Published in SPIE Proceedings Vol. 5307:
Storage and Retrieval Methods and Applications for Multimedia 2004
Minerva M. Yeung; Rainer W. Lienhart; Chung-Sheng Li, Editor(s)

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