Abstract
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.