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The Application of User Log for Online Business Environment using Content-Based Image Retrieval System

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4 Author(s)
Kien-ping Chung ; Murdoch University, Perth, Australia ; Sandy Chong ; Chun Che Fung ; Jia Bin Li

Over the past few years, inter-query learning has gained much attention in the research and development of content-based image retrieval (CBIR) systems. This is largely due to the capability of inter-query approach to enable learning from the retrieval patterns of previous query sessions. However, much of the research works in this field have been focusing on analyzing image retrieval patterns stored in the database. This is not suitable for a dynamic environment such as the World Wide Web (WWW) where images are constantly added or removed. A better alternative is to use an image's visual features to capture the knowledge gained from the previous query sessions. Based on the previous work (Chung et al., 2006), the aim of this paper is to propose a framework of inter-query learning for the WWW-CBIR systems. Such framework can be extremely useful for those online companies whose core business involves providing multimedia content-based services and products to their customers

Published in:

2006 IEEE International Conference on e-Business Engineering (ICEBE'06)

Date of Conference:

Oct. 2006