Dissimilarity measures for content-based image retrieval

Hu, Rui; Rüger, Stefan; Song, Dawei and Liu, Haiming (2008). Dissimilarity measures for content-based image retrieval. In: 2008 IEEE International Conference Multimedia and Expo, 23-26 Jun 2008, Hannover, Germany.

DOI: https://doi.org/10.1109/ICME.2008.4607697

Abstract

Dissimilarity measurement plays a crucial role in content-based image retrieval. In this paper, 16 core dissimilarity measures are introduced and evaluated. We carry out a systematic performance comparison on three image collections, Corel, Getty and Trecvid2003, with 7 different feature spaces. Two search scenarios are considered: single image queries based on the vector space model, and multi-image queries based on k-nearest neighbours search. A number of observations are drawn, which will lay a foundation for developing more effective image search technologies.

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• Item ORO ID
• 23807
• Item Type
• Conference or Workshop Item
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
  Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
• Copyright Holders
• © 2008 IEEE
• Depositing User
• Colin Smith