Comparing dissimilarity measures for content-based image retrieval.

Liu, Haiming; Song, Dawei; R�ger, Stefan; Hu, Rui; Uren, Victoria

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.

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

• Conference Name: 4th Asia information retrieval symposium (AIRS 2008)
• Conference Location: Harbin, China
• Start Date: Jan 15, 2008
• End Date: Jan 18, 2008
• Acceptance Date: Dec 31, 2008
• Online Publication Date: Dec 31, 2008
• Publication Date: Dec 31, 2008
• Deposit Date: May 29, 2009
• Publicly Available Date: May 29, 2009
• Publisher: Springer
• Pages: 44-50
• Series Title: Lecture notes in computer science
• Series Number: 4993
• ISBN: 3540686339; 9783540686330
• DOI: https://doi.org/10.1007/978-3-540-68636-1_5
• Keywords: Dissimilarity measure; Feature space; Content based image retrieval
• Public URL: http://hdl.handle.net/10059/349