Finding a Semantic Structure Interactively in Image Databases

We present a new approach to organize an image database by finding a semantic structure interactively based on multi-user relevance feedback. By treating user relevance feedbacks as weak classifiers and combining them together, we are able to capture the categories in the users’ mind and build a semantic structure in the image database. Experiments performed on an image database consisting of general purpose images demonstrate that our system outperforms some of the other conventional methods.

• Type: Conference
• Year: 2006
• Where: ICMCS
• Authors: Manjeet Rege, Ming Dong, Farshad Fotouhi
• Keywords: ICMCS 2006, Image Database, Relevance Feedbacks, Semantic Structure