1. A method implemented by a computer system, the method for detecting a first concept in an image record, and the method comprising: performing a context-based concept fusion, said performing including the steps of: automatically determining, using a computer system, at least one other concept in said image record which has a contextual relationship with said first concept, by automatically determining a subset of concepts to be labeled by a user from a larger set of concepts according to the following selection criteria: (a) a best concept to be labeled from a plurality of concepts has a highest mutual information with the other concepts from the plurality of concepts; and (b) successive optimal concepts to be labeled are those having the largest mutual information with remaining concepts from the plurality of concepts and low conditional entropy relative to the other concepts from the plurality of concepts, accepting a label of said at least one other concept from a user via an input device; detecting said first concept in said image record at least by utilizing said label; and storing information pertaining to the detecting of said first concept in a computer-readable memory.