Dissimilarity measures for content-based image retrieval.
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HU, R., RUGER, S., SONG, D., LIU, H. and HUANG, Z., 2008. Dissimilarity measures for content-based image retrieval. In: 2008 IEEE International Conference on Multimedia and Expo: ICME 2008: Proceedings. 23-26 June 2008. IEEE. pp. 1365-1368.
Dissimilarity measurement plays a crucial role in contentbased image retrieval. In this paper, sixteen core dissimilarity measures are introduced and evaluated. We carry out a systematic performance comparison on three image collections, including Corel, Getty and Trecvid2003, with seven different feature spaces. Two search scenarios are considered: single image queries based on Vector-Space-Model, and multiimage queries based on k-Nearest Neighbours search. A number of observations is drawn, which will lay a foundation for developing more effective image search technologies.