This chapter reviews recent computational models of visual attention. We begin with models for the bottom-up or stimulus-driven guidance of attention to salient visual items, which we examine in seven different broad categories. We then examine more complex models which address the top-down or goal-oriented guidance of attention towards items that are more relevant to the task at hand.

This review highlights the importance of computational models for understanding visual attention, particularly in guiding attention towards salient items and relevant items.

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Computational models of attention

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