Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/40762
Title: Hierarchical content-based image retrieval by dynamic indexing and guided search
Authors: You, J 
Cheung, K H
Liu, J
Guo, LN
Keywords: Content based image retrieval
Wavelets
Algorithms
Data mining
Databases
Feature extraction
Feature selection
Pattern recognition
Satellite imaging
Issue Date: 2004
Publisher: SPIE-International Society for Optical Engineering
Source: Proceedings of SPIE : the International Society for Optical Engineering, 2004, v. 5307, 559 How to cite?
Journal: Proceedings of SPIE : the International Society for Optical Engineering 
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.
Description: Conference on Storage and Retrieval Methods and Applications for Multimedia 2004, San Jose, U.S.A., January 2004
URI: http://hdl.handle.net/10397/40762
ISSN: 0277-786X
EISSN: 1996-756X
DOI: 10.1117/12.529100
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