A NOVEL RELEVANCE FEEDBACK PROCEDURE BASED ON LOGISTIC REGRESSION AND OWA OPERATOR FOR CONTENT-BASED IMAGE RETRIEVAL SYSTEM

P. Zuccarello, E. de Ves, T. Leon, G. Ayala, J. Domingo

Abstract

This paper presents a new algorithm for content based retrieval systems in large databases. The objective of these systems is to find the images which are as similar as possible to a user query from those contained in the global image database without using textual annotations attached to the images. The procedure proposed here to address this problem is based on logistic regression model: the algorithm considers the probability of an image to belong to the set of those desired by the user. In this work a relevance proabaility π(I) is a quantity wich reflects the estimate of the relevance of the image I with respect to the user’s preferences. The problem of the small sample size with respect to the number of features is solved by adjusting several partial linear models and combining its relevance probabilitis by means of an ordered averaged weighted operator. Experimental results are shown to evaluate the method on a large image database in term of the average number of iterations needed to find a target image.

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Paper Citation


in Harvard Style

Zuccarello P., de Ves E., Leon T., Ayala G. and Domingo J. (2007). A NOVEL RELEVANCE FEEDBACK PROCEDURE BASED ON LOGISTIC REGRESSION AND OWA OPERATOR FOR CONTENT-BASED IMAGE RETRIEVAL SYSTEM . In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 978-972-8865-74-0, pages 167-172. DOI: 10.5220/0002059701670172


in Bibtex Style

@conference{visapp07,
author={P. Zuccarello and E. de Ves and T. Leon and G. Ayala and J. Domingo},
title={A NOVEL RELEVANCE FEEDBACK PROCEDURE BASED ON LOGISTIC REGRESSION AND OWA OPERATOR FOR CONTENT-BASED IMAGE RETRIEVAL SYSTEM},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2007},
pages={167-172},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002059701670172},
isbn={978-972-8865-74-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - A NOVEL RELEVANCE FEEDBACK PROCEDURE BASED ON LOGISTIC REGRESSION AND OWA OPERATOR FOR CONTENT-BASED IMAGE RETRIEVAL SYSTEM
SN - 978-972-8865-74-0
AU - Zuccarello P.
AU - de Ves E.
AU - Leon T.
AU - Ayala G.
AU - Domingo J.
PY - 2007
SP - 167
EP - 172
DO - 10.5220/0002059701670172