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Authors: J. You 1 ; Q. Li 1 ; K. H. Cheung 1 and Prabir Bhattacharya 2

Affiliations: 1 The Hong Kong Polytechnic University, Hong Kong ; 2 Institute for Information Systems Engineering, Concordia University, Canada

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.

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Paper citation in several formats:
You, J.; Li, Q.; H. Cheung, K. and Bhattacharya, P. (2005). Dynamic Feature Selection and Coarse-To-Fine Search for Content-Based Image Retrieval. In Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems (ICEIS 2005) - PRIS; ISBN 972-8865-28-7, SciTePress, pages 81-93. DOI: 10.5220/0002566800810093

@conference{pris05,
author={J. You. and Q. Li. and K. {H. Cheung}. and Prabir Bhattacharya.},
title={Dynamic Feature Selection and Coarse-To-Fine Search for Content-Based Image Retrieval},
booktitle={Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems (ICEIS 2005) - PRIS},
year={2005},
pages={81-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002566800810093},
isbn={972-8865-28-7},
}

TY - CONF

JO - Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems (ICEIS 2005) - PRIS
TI - Dynamic Feature Selection and Coarse-To-Fine Search for Content-Based Image Retrieval
SN - 972-8865-28-7
AU - You, J.
AU - Li, Q.
AU - H. Cheung, K.
AU - Bhattacharya, P.
PY - 2005
SP - 81
EP - 93
DO - 10.5220/0002566800810093
PB - SciTePress