When we view a scene, we generally feel that we have a rich representation of that scene. Recent research has shown, however, that we are unable to detect relatively large changes in scenes, which suggests an inability to retain the visual details from one scene view to the next. In the present study, we investigated whether we can retain and make use of global and semantic information from a scene in order to efficiently detect changes from one scene to the next. Results indicated that change detection was practically independent of scene disruption with one exception. Better performance in the meaningful scenes was observed only in the whole-scene presentation condition where the participants knew that the stimulus was extracted from the meaningful scene.