Host: Japan Society for Fuzzy Theory and Intelligent Informatics
Co-host: International Fuzzy Systems Association, IEEE Computational Intelligence Society Japan Chapter
This paper describes an image retrieval system aimed at reducing the semantic gap by adopting relevance feedback. To reduce the gap between low-level features and high-level semantics, in this image retrieval system, users'sketches play an important role in relevance feedback. Experimental results show that this method is effective in retrieving some images.