Please note that while user is specifying the query using IFQ, the corresponding CSQL query is automatically generated in the CSQL window. Users simply pose queries by clicking buttons and dragging and dropping icons representing entities and descriptors. If there is a mismatch, IFQ rearranges the query objects on the screen according to the query specifications. This improves the perceptual qualities of the query. Query results contain thumbnail size images ranked by their degrees of confidence.
Users can click on any thumbnail image to see the real image as shown on the right side.
However, in many cases, users do not have specific target images in mind. Users want to extract and browse semantic and information about image objects. This form of interactions is supported through extracting semantics and relaxing queries. Figure 4 shows two candidate images including an image containing a bus. This image has a lower confidence, because the human in the image can not be identified as men.