Dissimilarity measures for content-based image retrieval

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.

• Type: Conference
• Year: 2008
• Where: ICMCS
• Authors: Rui Hu, Stefan M. Rüger, Dawei Song, Haiming Liu 0002, Zi Huang
• Keywords: Contentbased Image Retrieval, ICMCS 2008, Image, Multimedia, Single Image Queries