Open Science Research Excellence
%0 Journal Article
%A Nhu Van NGUYEN and  Jean-Marc OGIER and  Salvatore TABBONE and  Alain BOUCHER
%D 2009 
%J  International Journal of Computer, Electrical, Automation, Control and Information Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 30, 2009
%T Text Retrieval Relevance Feedback Techniques for Bag of Words Model in CBIR
%U http://waset.org/publications/790
%V 30
%X The state-of-the-art Bag of Words model in Content-
Based Image Retrieval has been used for years but the relevance
feedback strategies for this model are not fully investigated. Inspired
from text retrieval, the Bag of Words model has the ability to use the
wealth of knowledge and practices available in text retrieval. We
study and experiment the relevance feedback model in text retrieval
for adapting it to image retrieval. The experiments show that the
techniques from text retrieval give good results for image retrieval
and that further improvements is possible.
%P 1604 - 1609