NDLI: An objective performance evaluation tool for color based image retrieval systems

Content Provider	IEEE Xplore Digital Library
Author	Idrissi, K. Ricard, J. Baskurt, A.
Copyright Year	2002
Description	Author affiliation: Comput. Graphics, Image & Modeling Lab., Univ. Claude Bernard, Lyon, France (Idrissi, K.; Ricard, J.; Baskurt, A.)
Abstract	This study addresses the problem of the objective performance evaluation of image retrieval systems. Considering the color feature, a tool for synthetic image databases generation is proposed. This allows to control the number and location of the dominant colors in the Lab space and provides also their spatial coherency. It is then possible to sort exactly the images for the color feature. We also propose a new similarity measure to compare images described by the color feature. Based on the assumption of a Gaussian distribution for each dominant color, each image is modeled by the sum of these Gaussian distributions. The similarity measure performs a Kullman's distance between two modeled distributions. The objective performance evaluation based on the synthetic database is done for comparing our image retrieval system (IMALBUM) which uses the new similarity measure and MPEG7 approach. Experiments on MPEG7 database are also presented as a subjective evaluation and discussed.
Sponsorship	IEEE Signal Process. Soc
File Size	336311
File Format	PDF
ISBN	0780376226
ISSN	15224880
DOI	10.1109/ICIP.2002.1039969
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image retrieval Image databases Spatial databases MPEG 7 Standard Gaussian distribution Visual databases Information retrieval Shape Image generation Multimedia databases
Content Type	Text
Resource Type	Article

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