NDLI: On hierarchical content-based image retrieval by dynamic indexing and guided search

Content Provider	IEEE Xplore Digital Library
Author	You, J. Qin Li
Copyright Year	2009
Description	Author affiliation: Department of Computing, The Hong Kong Polytechnic University, China (You, J.; Qin Li)
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 date 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.
Starting Page	188
Ending Page	195
File Size	10715386
Page Count	8
File Format	PDF
ISBN	9781424446421
DOI	10.1109/COGINF.2009.5250753
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-15
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image retrieval Content based retrieval Indexing Data warehouses Information retrieval Data mining Warehousing Feature extraction Image databases Image representation data mining Content-based image retrieval image indexing similarity measures image classification wavelet transform image data warehouse
Content Type	Text

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