Title: A Hierarchical Nonparametric Discriminant Analysis approach for Content-Based Image Retrieval system
Authors: Kien-Ping Chung, Chun Che Fung
Addresses: School of Information Technology, Murdoch University, South St, Murdoch, Perth 6150, Australia. ' School of Information Technology, Murdoch University, South St, Murdoch, Perth 6150, Australia
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.
Keywords: content-based image retrieval; CBIR; image retrieval; hierarchical nonparametric discriminant analysis; HNDA; relevance feedback; RF; feature selection; electronic business; e-business; business integration.
International Journal of Electronic Business, 2006 Vol.4 No.3/4, pp.208 - 220
Published online: 08 Sep 2006 *Full-text access for editors Access for subscribers Purchase this article Comment on this article