DocumentCode :
1862882
Title :
Image retrieval by fuzzy clustering of relevance feedback records
Author :
Zhou, Xiungdong ; Qi Zhang ; Lin, Lan ; Deng, Ailin ; Wu, Gang
Author_Institution :
Fudan Univ., Shanghai, China
Volume :
1
fYear :
2003
fDate :
6-9 July 2003
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.
Keywords :
fuzzy set theory; image retrieval; information filters; pattern clustering; visual databases; database images; fuzzy clustering; image retrieval method; information filtering; query image; relevance feedback records; retrieval query sample; semantic correlation; Data analysis; Feedback; Image analysis; Image databases; Image retrieval; Information analysis; Information filtering; Information filters; Information retrieval; Radio frequency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2003. ICME '03. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7965-9
Type :
conf
DOI :
10.1109/ICME.2003.1220915
Filename :
1220915
Link To Document :
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