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2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698) (2003)
Baltimore, MD, USA
July 6, 2003 to July 9, 2003
ISBN: 0-7803-7965-9
pp: 305-308
Xiangdong Zhou , Fudan Univ., Shanghai, China
Qi Zhang , Fudan Univ., Shanghai, China
Lan Lin , Dipt. di Sistemi e Inf., Firenze Univ., Italy
Ailin Deng , Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Gang Wu , Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
ABSTRACT
We present an image retrieval method based on the accumulated user relevance feedback records. Our method conducts the semi-supervised fuzzy clustering on the records, and the subsequent information filtering within the target cluster is performed to guide the refinement of query parameters. During information filtering, both the user's relevance evaluation and the corresponding query image of the records are used to predict the semantic correlation between the current retrieval query sample and the database images. Experiment results show that our method outperforms the traditional ones in both efficiency and effectiveness.
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CITATION

A. Deng, G. Wu, X. Zhou, Q. Zhang and L. Lin, "Image retrieval by fuzzy clustering of relevance feedback records," 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)(ICME), Baltimore, MD, USA, 2003, pp. 305-308.
doi:10.1109/ICME.2003.1220915
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