Paper
18 December 2003 Hierarchical content-based image retrieval by dynamic indexing and guided search
Jane You, King Hong Cheung, James Liu, Linong Guo
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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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jane You, King Hong Cheung, James Liu, and Linong Guo "Hierarchical content-based image retrieval by dynamic indexing and guided search", Proc. SPIE 5307, Storage and Retrieval Methods and Applications for Multimedia 2004, (18 December 2003); https://doi.org/10.1117/12.529100
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image compression

Multimedia

Feature extraction

Databases

Wavelets

Image retrieval

Content based image retrieval

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