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Comparing dissimilarity measures for content-based image retrieval

Liu, Haiming; Song, Dawei; Rüger, Stefan; Hu, Rui and Uren, Victoria (2008). Comparing dissimilarity measures for content-based image retrieval. In: The 4th Asia Information Retrieval Symposium (AIRS2008), 15-18 Jan 2008, Harbin, China.

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Abstract

Dissimilarity measurement plays a crucial role in content-based image retrieval, where data objects and queries are represented as vectors in high-dimensional content feature spaces. Given the large number of dissimilarity measures that exist in many fields, a crucial research question arises: Is there a dependency, if yes, what is the dependency, of a dissimilarity measure's retrieval performance, on different feature spaces? In this paper, we summarize fourteen core dissimilarity measures and classify them into three categories. A systematic performance comparison is carried out to test the effectiveness of these dissimilarity measures with six different feature spaces and some of their combinations on the Corel image collection. From our experimental results, we have drawn a number of observations and insights on dissimilarity measurement in content-based image retrieval, which will lay a foundation for developing more effective image search technologies.

Item Type: Conference Item
Copyright Holders: 2008 Springer-Verlag
Keywords: dissimilarity measure; feature space; content-based image retrieval
Academic Unit/Department: Knowledge Media Institute
Mathematics, Computing and Technology > Computing & Communications
Item ID: 11962
Depositing User: Users 8580 not found.
Date Deposited: 08 Oct 2008 13:21
Last Modified: 27 Oct 2012 07:53
URI: http://oro.open.ac.uk/id/eprint/11962
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