Generalized foreground-background (GFB) is a concept often used in image processing, computer vision, and multimedia applications. It refers to the differentiation and analysis of foreground objects or subjects within an image or video stream from the background. The classification of elements as either foreground or background is vital for various tasks such as object detection, image segmentation, and scene understanding.
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