Concept learning and transplantation for dynamic image databases

A. Dong, B. Bhanu
2003 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)  
The task of a content-based image retrieval (CBIR) system is to cater to users who expect to get relevant images with high precision and efficiency in response to query images. This paper presents a concept learning approach that integrates a mixture model of the data, relevance feedback and long-term continuous learning. The concepts are incrementally refined with increased retrieval experiences. The concept knowledge can be immediately transplanted to deal with the dynamic database situations
more » ... such as insertion of new images, removal of existing images and query images which are outside the database. Experimental results on Corel database show the efficacy of our approach.
doi:10.1109/icme.2003.1221030 dblp:conf/icmcs/DongB03 fatcat:bk7vbclksjfz3givegpoqevdk4