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In Schenkerian analysis, a structural level is a representation of a piece of music at a different level of abstraction, with levels typically including foreground, middleground, and background. [1] According to Schenker musical form is "an energy transformation, as a transformation of the forces that flow from background to foreground through ...
There are still tiny figures on the streets, but these are often cartoonish and engaging in activities that are "positively bizarre." [22] Like the work in the 1970s, they are still crammed with images, "buildings, cars, and people," [22] but the focus is the city. In the late 1990s, Donley was still working with images of the city.
Space – area that an artist provides for a particular purpose. Space includes the background, foreground and middle ground, and refers to the distances or area(s) around, between, and within things. Texture – the way a three-dimensional work actually feels when touched, or the visual "feel" of a two-dimensional work
Foreground-background, a scheduling algorithm that is used to control execution of multiple processes on a single processor; Foreground-background segmentation, a method for studying change blindness using photographs with distinct foreground and background scenery; Foreground detection, a concept in computer vision to detect changes in image ...
Middle ground (also: middle-ground or middleground), an artistic space, located between background and foreground; Middleground (1947–1972), American Thoroughbred racehorse; Golden mean (philosophy), a desirable "middle ground" between two extremes. Argument to moderation, a logical fallacy that states that the "middle ground" is always correct
There should be a center of interest or focus in the work, to prevent it becoming a pattern in itself; The direction followed by the viewer's eye should lead the viewer's gaze around all elements in the work before leading out of the picture; The subject should not be facing out of the image; Exact bisections of the picture space should be avoided
Movement also helps; the figure may be moving against a static environment. Color is also a cue because the background tends to continue as one color behind potentially multiple foreground figures, whose colors may vary. Edge assignment also helps; if the edge belongs to the figure, it defines the shape while the background exists behind the shape.
Foreground detection is one of the major tasks in the field of computer vision and image processing whose aim is to detect changes in image sequences. Background subtraction is any technique which allows an image's foreground to be extracted for further processing (object recognition etc.).