Title :
A learning strategy in CBIR system design
Author :
Gong, Sheng-rong ; Wang, Zhao-hui ; Zhao, Jian-Min
Abstract :
In this paper, a flexible relevance feedback learning strategy is proposed. Applying the learning strategy, the user can embed semantic information by interacting continuously with the retrieval system. Experimental results show that the designed learning strategy is robust, efficient and effective.
Keywords :
content-based retrieval; image retrieval; learning (artificial intelligence); relevance feedback; CBIR system design; feature vector; flexible relevance feedback learning strategy; image retrieval; query vector; retrieval system; robust learning strategy; semantic information; Content based retrieval; Feedback; Image retrieval; Information retrieval; Internet; Petroleum; Prototypes; Query processing; Robustness; Shape measurement;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1174480
