Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/38422
Title: Dynamic feature selection and coarse-to-fine search for content-based image retrieval
Authors: You, J 
Cheung, KH
Li, Q
Bhattacharya, P
Issue Date: 2005
Source: Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems (PRIS'2005), Miami Beach, Florida, USA, 24-25 May, 2005, p. 81-93 How to cite?
Abstract: We present a new approach to content-based image retrieval by addressing three primary issues: image indexing, similarity measure, and search methods. The proposed algorithms include: an image data warehousing structure for dynamic image indexing; a statistically based feature selection procedure to form flexible similarity measures in terms of the dominant image features; and a feature component code to facilitate query processing and guide the search for the best matching. The experimental results demonstrate the feasibility and effectiveness of the proposed method.
URI: http://hdl.handle.net/10397/38422
ISBN: 972-8865-28-7
DOI: 10.5220/0002566800810093
Appears in Collections:Conference Paper

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