Conference/ProceedingsInternational Conference on Image and Video Retrieval (CIVR)
Start date13.07.2006
End date15.07.2006
AddressTempe, AZ, USA
Author(s)Lutz Goldmann, Lars Thiele, Thomas Sikora
TitleOnline Image Retrieval System Using Long Term Relevance Feedback
AbstractThis paper describes an original system for content based image retrieval. It is based on MPEG-7 descriptors and a novel approach for long term relevance feedback using a Bayesian classifier. Each image is represented by a special model that is adapted over multiple feedback rounds and even multiple sessions or users. The experiments show its outstanding performance in comparison to often used short term relevance feedback and the recently proposed FIRE system.