Visual saliency analysis detects salient regions/objects that attract human attention in natural scenes. It has attracted intensive research in different fields such as computer vision, computer graphics, and multimedia. While many such computational models exist, the focused study of what and how applications can be beneficial is still lacking. In this article, our ultimate goal is thus to provide a comprehensive review of the applications using saliency cues, the so-called attentive systems. We would like to provide a broad vision about saliency applications and what visual saliency can do. We categorize the vast amount of applications into different areas such as computer vision, computer graphics, and multimedia. Intensively covering 200+ publications we survey (1) key application trends, (2) the role of visual saliency, and (3) the usability of saliency into different tasks.

中文翻译：

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注意力系统：一项调查

视觉显着性分析检测在自然场景中吸引人类注意力的显着区域/对象。它吸引了计算机视觉、计算机图形学和多媒体等不同领域的深入研究。虽然存在许多这样的计算模型，但仍然缺乏对应用程序可以带来哪些好处以及如何受益的重点研究。因此，在本文中，我们的最终目标是使用显着性线索（即所谓的注意力系统）对应用程序进行全面审查。我们想提供关于显着性应用程序以及视觉显着性可以做什么的广阔视野。我们将大量应用程序分为不同的领域，例如计算机视觉、计算机图形和多媒体。我们深入涵盖 200 多种出版物，我们调查 (1) 关键应用趋势，(2) 视觉显着性的作用，