Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/111248
Title: Evaluation of feature measures and similarity measures for content-based retrieval
Authors: Wu, Jiankang 
Lam, Chianprong 
Senthilkumar, G.
Issue Date: 1995
Citation: Wu, Jiankang,Lam, Chianprong,Senthilkumar, G. (1995). Evaluation of feature measures and similarity measures for content-based retrieval. Proceedings of SPIE - The International Society for Optical Engineering 2606 : 258-268. ScholarBank@NUS Repository.
Abstract: Evaluation is a critical issue in any information systems. This problem has become more and more important with the rapid development of multimedia systems. Feature measures and similarity measures play a central role in content-based retrieval. Evaluation of their effectiveness and efficiency then become a key issue in assessing the performance of a content-based multimedia system. A learning algorithm has been studied to find a suitable and hopefully the best similarity function for a given set of feature measure and a given set of training data set.
Source Title: Proceedings of SPIE - The International Society for Optical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/111248
ISBN: 0819419702
ISSN: 0277786X
Appears in Collections:Staff Publications

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