A THREE-LAYER SYSTEM FOR IMAGE RETRIEVAL

Daidi Zhong, Irek Defée

2007

Abstract

Visual patterns are composed of basic features forming well-defined structures and/or statistical distributions. Often, they always present simultaneously in visual images. This makes the problem of description and representation of visual patterns complicated. In this paper we proposed a hierarchical retrieval system, which is based on subimages and combinations of feature histograms, to efficiently combine structure and statistical information for retrieval tasks. We illustrate the results on face database retrieval problem. It is shown that proper selection of subimage and feature vectors can significantly improve the performance with minimized complexity.

References

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Paper Citation


in Harvard Style

Zhong D. and Defée I. (2007). A THREE-LAYER SYSTEM FOR IMAGE RETRIEVAL . In Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007) ISBN 978-989-8111-13-5, pages 204-208. DOI: 10.5220/0002142702040208


in Bibtex Style

@conference{sigmap07,
author={Daidi Zhong and Irek Defée},
title={A THREE-LAYER SYSTEM FOR IMAGE RETRIEVAL},
booktitle={Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007)},
year={2007},
pages={204-208},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002142702040208},
isbn={978-989-8111-13-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007)
TI - A THREE-LAYER SYSTEM FOR IMAGE RETRIEVAL
SN - 978-989-8111-13-5
AU - Zhong D.
AU - Defée I.
PY - 2007
SP - 204
EP - 208
DO - 10.5220/0002142702040208