Models of integration are natural in human vision, but are difficult to define for computer vision applications. In a generic scene analysis, both of them are integrated for a faster visual search. Bottom-up processing is a primitive function of the human vision system and responds to various stim- uli such as intensity, color, and orientation, etc. In the top-down process, attention detects salient areas through understanding and recognition mechanisms. The attention process selects visual information on the basis of both saliency in the image (bottom-up, task-independent process), and of prior knowledge about the context and the objects in the scene (top-down, task dependent process). human visual system is able to easily detect an in- teresting object in natural scenes through the selective attention mechanism, that discard useless information, selecting the most relevant ones for higher-level cognitive processing.
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