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.
Date of creation, presentation, or exhibit
Department, Program, or Center
Computer Science (GCCIS)
Finding a Semantic Structure Interactively In Image Databases, Proceedings of IEEE ICME 2006. Held in Toronto, Canada: 9-12 Juky 2006.
RIT – Main Campus