Dynamic Feature Selection and Coarse-To-Fine Search for Content-Based Image Retrieval

J. You, Q. Li, K. H. Cheung, Prabir Bhattacharya

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.

References

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Paper Citation


in Harvard Style

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 - Volume 1: PRIS, (ICEIS 2005) ISBN 972-8865-28-7, pages 81-93. DOI: 10.5220/0002566800810093


in Bibtex Style

@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 - Volume 1: PRIS, (ICEIS 2005)},
year={2005},
pages={81-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002566800810093},
isbn={972-8865-28-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2005)
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