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Image retrieval is a key issue for many image database applications. Existing approaches include browsing and keyword, semantics, and cognition-based query processing. We argue that image retrieval using either approach alone is not effective. We introduce a system, SEMCOG (SEMantics and COGnition-based image retrieval), that allows users to pose a query using both semantics expressions and image examples. In our system, a query, such as "Retrieve all images in which there is a man on the rightdoi:10.1145/331697.331727 dblp:conf/sac/LiCH97 fatcat:52jiky55czcencjr66cxehbl7e