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Comparing dissimilarity measures for content-based image retrieval.

Liu, Haiming; Song, Dawei; Rüger, Stefan; Hu, Rui; Uren, Victoria

Authors

Haiming Liu

Dawei Song

Stefan Rüger

Rui Hu

Victoria Uren



Contributors

Hang Li
Editor

Ting Liu
Editor

Wei-Ying Ma
Editor

Tetsuya Sakai
Editor

Kam-Fai Wong
Editor

Guodong Zhou
Editor

Abstract

Dissimilarity measurement plays a crucial role in contentbased 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.

Start Date Jan 15, 2008
Publication Date Dec 31, 2008
Publisher Springer (part of Springer Nature)
Pages 44-50
Series Title Lecture notes in computer science
Series Number 4993
ISBN 9783540686330
Institution Citation LIU, H., SONG, D., RUGER, S., HU, R. and UREN, V. 2008. Comparing dissimilarity measures for content-based image retrieval. In Li, H., Liu, T., Ma, W.-Y., Sakai, T., Wong, K.-F. and Zhou, G. (eds.) Information retrieval technology: revised selected papers from the proceedings of the 4th Asia information retrieval symposium (AIRS 2008), 15-18 January 2008, Harbin, China. Lecture notes in computer science, 4993. Berlin: Springer [online], pages 44-50. Available from: https://doi.org/10.1007/978-3-540-68636-1_5
DOI https://doi.org/10.1007/978-3-540-68636-1_5
Keywords Dissimilarity measure; Feature space; Content based image retrieval

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