Le Callet Patrick, Niebur Ernst
LUNAM Université, Université de Nantes, Institut de Recherche en Communications et Cybernétique de Nantes, Polytech Nantes, UMR CNRS 6597, France
Solomon Snyder Department of Neuroscience and the Zanvyl Krieger Mind Brain Institute, Johns Hopkins University, Baltimore MD 21218 USA
Proc IEEE Inst Electr Electron Eng. 2013 Sep;101(9):2058-2067. doi: 10.1109/JPROC.2013.2265801.
Making technological advances in the field of human-machine interactions requires that the capabilities and limitations of the human perceptual system are taken into account. The focus of this report is an important mechanism of perception, visual selective attention, which is becoming more and more important for multimedia applications. We introduce the concept of visual attention and describe its underlying mechanisms. In particular, we introduce the concepts of overt and covert visual attention, and of bottom-up and top-down processing. Challenges related to modeling visual attention and their validation using ground truth are also discussed. Examples of the usage of visual attention models in image and video processing are presented. We emphasize multimedia delivery, retargeting and quality assessment of image and video, medical imaging, and the field of stereoscopic 3D images applications.
在人机交互领域取得技术进步需要考虑人类感知系统的能力和局限性。本报告的重点是一种重要的感知机制——视觉选择性注意，它在多媒体应用中变得越来越重要。我们介绍视觉注意的概念并描述其潜在机制。特别是，我们介绍了显性和隐性视觉注意以及自下而上和自上而下处理的概念。还讨论了与视觉注意建模相关的挑战以及使用地面真值进行验证的问题。展示了视觉注意模型在图像和视频处理中的应用示例。我们强调图像和视频的多媒体传输、重定目标和质量评估、医学成像以及立体3D图像应用领域。
