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Article

The Truth about Corel - Evaluation in Image Retrieval

Authors:

Henning Müller,

Stéphane Marchand-Maillet,

Thierry PunAuthors Info & Claims

CIVR '02: Proceedings of the International Conference on Image and Video Retrieval

Pages 38 - 49

Published: 18 July 2002 Publication History

Abstract

To demonstrate the performance of content-based image retrieval systems (CBIRSs), there is not yet any standard data set that is widely used. The only dataset used by a large number of research groups are the Corel Photo CDs. There are more than 800 of those CDs, each containing 100 pictures roughly similar in theme. Unfortunately, basically every evaluation is done on a different subset of the image sets thus making comparison impossible.In this article, we compare different ways of evaluating the performance using a subset of the Corel images with the same CBIRSan d the same set of evaluation measures. The aim is to show how easy it is to get differing results, even when using the same image collection, the same CBIRS and the same performance measures. This pinpoints the fact that we need a standard database of images with a query set and corresponding relevance judgments (RJs) to really compare systems.The techniques used in this article to "enhance" the apparent performance of a CBIRSa re commonly used, sometimes described, sometimes not. They all have a justification and seem to change the performance of a CBIRS but they do actually not. With a larger subset of images it is of course much easier to generate even bigger differences in performance. The goal of this article is not to be a guide of how to make the "apparent" performance of systems look good, but rather to make readers aware of CBIRS evaluations and the importance of standardized image databases, queries and RJ.

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The Truth about Corel - Evaluation in Image Retrieval
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cover image Guide Proceedings

CIVR '02: Proceedings of the International Conference on Image and Video Retrieval

July 2002

386 pages

ISBN:3540438998

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 18 July 2002

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Cited By

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https://dl.acm.org/doi/10.1016/j.neucom.2016.03.084
Ljubovic VSupic H(2015)Improving Performance of Image Retrieval Based on Fuzzy Colour Histograms by Using Hybrid Colour Model and Genetic AlgorithmComputer Graphics Forum10.1111/cgf.1260934:8(77-87)Online publication date: 1-Dec-2015
https://dl.acm.org/doi/10.1111/cgf.12609
Ljubovic VSupic HGutierrez D(2014)Hybrid color model for image retrieval based on fuzzy histogramsProceedings of the 30th Spring Conference on Computer Graphics10.1145/2643188.2643198(63-69)Online publication date: 28-May-2014
https://dl.acm.org/doi/10.1145/2643188.2643198
Nakouri HLimam M(2014)Discovering Features Contexts from Images Using Random IndexingProceedings of the 16th International Workshop on Combinatorial Image Analysis - Volume 846610.1007/978-3-319-07148-0_13(134-145)Online publication date: 28-May-2014
https://dl.acm.org/doi/10.1007/978-3-319-07148-0_13
Lux MXhura DKopper A(2014)User Intentions in Digital Photo ProductionProceedings of the 20th Anniversary International Conference on MultiMedia Modeling - Volume 832510.1007/978-3-319-04114-8_15(172-182)Online publication date: 6-Jan-2014
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Mcparlane PMoshfeghi YJose J(2014)Collections for Automatic Image Annotation and Photo Tag RecommendationProceedings of the 20th Anniversary International Conference on MultiMedia Modeling - Volume 832510.1007/978-3-319-04114-8_12(133-145)Online publication date: 6-Jan-2014
https://dl.acm.org/doi/10.1007/978-3-319-04114-8_12
Mason RCharniak EChu-Carroll J(2012)Apples to orangesProceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies10.5555/2382029.2382053(172-181)Online publication date: 3-Jun-2012
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Tirilly PMu XHuang CXie IJeong WZhang JKamps JKraaij WFuhr N(2012)On the consistency and features of image similarityProceedings of the 4th Information Interaction in Context Symposium10.1145/2362724.2362754(164-173)Online publication date: 21-Aug-2012
https://dl.acm.org/doi/10.1145/2362724.2362754
Scherer Mvon Landesberger TSchreck T(2012)A benchmark for content-based retrieval in bivariate data collectionsProceedings of the Second international conference on Theory and Practice of Digital Libraries10.1007/978-3-642-33290-6_31(286-297)Online publication date: 23-Sep-2012
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Fadzli SSetchi R(2010)Semantic approach to image retrieval using statistical models based on a lexical ontologyProceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part IV10.5555/1893971.1894000(240-250)Online publication date: 8-Sep-2010
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