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A hierarchical nonparametric discriminant analysis approach for content-based image retrieval system

Chung, K.P. and Fung, C.C. (2006) A hierarchical nonparametric discriminant analysis approach for content-based image retrieval system. International Journal of Electronic Business, 4 (3/4). pp. 208-220.

Link to Published Version: http://dx.doi.org/10.1504/IJEB.2006.010862
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Abstract

This paper proposes a Hierarchical Nonparametric Discriminant Analysis (HNDA) content-based image retrieval (CBIR) system for e-business applications. Developments in CBIR have drawn much interest in recent years. The challenge is how to retrieve the most appropriate or relevant images at the fastest speed. In this paper, a hierarchical multi-layer statistical discriminant framework is proposed. The system is able to select the most appropriate features by analysing the newly received images, and then apply a Relevance Feedback (RF) approach to improve the retrieval accuracy. As the number of features being analysed is less, an improvement in performance is achieved.

Publication Type: Journal Article
Murdoch Affiliation: School of Information Technology
Publisher: Inderscience
URI: http://researchrepository.murdoch.edu.au/id/eprint/561
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