Journal of Zhejiang University SCIENCE
(ISSN 1009-3095, Monthly)
2003   Vol. 4   No. 4   p.415-420

Web multimedia information retrieval using improved Bayesian algorithm

YU Yi-jun(余轶军)(Department of Computer Science & Engineering, Zhejiang University, Hangzhou 310027, China)
CHEN Chun(陈纯)(Department of Computer Science & Engineering, Zhejiang University, Hangzhou 310027, China)
YU Yi-min(余轶民)(Department of Computer Science & Engineering, Zhejiang University, Hangzhou 310027, China)
Lin Huai-zhong(林怀忠)(Department of Computer Science & Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract:The main thrust of this paper is application of a novel data mining approach on the log of user's feedback to improve web multimedia information retrieval performance. A user space model was constructed based on data mining, and then integrated into the original information space model to improve the accuracy of the new information space model. It can remove clutter and irrelevant text information and help to eliminate mismatch between the page author's expression and the user's understanding and expectation. User space model was also utilized to discover the relationship between high-level and low-level features for assigning weight. The authors proposed improved Bayesian algorithm for data mining. Experiment proved that the authors' proposed algorithm was efficient.
Keywords:Relevant feedback, Web log mining, Improved Bayesian algorithm, User space model

CLC Number:TP393 Document ID:A

Foundation Item:Project(No.20020335020) supported by Research Fund for Doctoral Program,Ministry of Education of China
Author Resume:YU Yi-jun(余轶军),E-mail:yijunyu@mail.hz.zj.cn

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Manuscript Received: 2002 Oct. 21

Manuscript Revised: 2003 Jan. 9

Published: 2003 Aug. 30