IMAGE RETRIEVAL USING KRAWTCHOUK CHROMATICITY DISTRIBUTION MOMENTS

E. Tziola, K. Konstantinidis, L. Kotoulas, I. Andreadis

2008

Abstract

In this paper a set of Krawtchouk Chromaticity Distribution Moments (KCDMs) for the effective representation of image color content is introduced. The proposed method describes chromaticity through a set of KCDMs applied on the associated chromaticity distribution function in the L*a*b* color space. The computational requirements of this approach are relatively small, compared to other methods addressing the issue of image retrieval using color features. This has a direct impact on the time required to index an image database. Furthermore, due to the short-length of KCDMs feature vector, there is a straight reduction on the time needed to retrieve the whole database. Comparing to previous relative works, KCDMs provide a more accurate representation of the L*a*b* chromaticity distribution functions, since no numerical approximation is involved in deriving the moments. Furthermore, unlike other orthogonal moments, Krawtchouk moments can be employed to extract local features of a chromaticity diagram. This property makes them more analytical near the centre of mass of the chromaticity distribution. The theoretical framework is validated by experiments which prove the superior performance of KCDMs above other methods.

Paper Citation

in Harvard Style

Tziola E., Konstantinidis K., Kotoulas L. and Andreadis I. (2008). IMAGE RETRIEVAL USING KRAWTCHOUK CHROMATICITY DISTRIBUTION MOMENTS . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 248-251. DOI: 10.5220/0001073902480251

in Bibtex Style

@conference{visapp08,
author={E. Tziola and K. Konstantinidis and L. Kotoulas and I. Andreadis},
title={IMAGE RETRIEVAL USING KRAWTCHOUK CHROMATICITY DISTRIBUTION MOMENTS},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={248-251},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001073902480251},
isbn={978-989-8111-21-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - IMAGE RETRIEVAL USING KRAWTCHOUK CHROMATICITY DISTRIBUTION MOMENTS
SN - 978-989-8111-21-0
AU - Tziola E.
AU - Konstantinidis K.
AU - Kotoulas L.
AU - Andreadis I.
PY - 2008
SP - 248
EP - 251
DO - 10.5220/0001073902480251