Steering visual attention in natural scenes: efficient image rendition by actively guiding fixation

引导自然场景中的视觉注意力：通过主动引导注视有效地呈现图像

基本信息

批准号：
EP/F023669/1
负责人：
David Foster
金额：
$ 61.96万
依托单位：
University of Manchester
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2008
资助国家：
英国
起止时间：
2008 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FF023669%2F1
关键词：
Steering visual attention natural scenes

项目摘要

What features of an object or region of a scene attract attention? Research over the last few decades has identified several basic features, including movement, colour, brightness contrast, and orientation. This information is important in understanding the mechanisms and strategies that seeing organisms use in their interactions with the environment. Curiously, much less research has been carried out on what properties of objects or regions do not attract attention. In addition to improving our understanding of biological vision, this knowledge could be important in applications such as image and video coding where there is limited channel capacity. If a region of an image receives little or no attention by a viewer, then less channel bandwidth need be allocated to its representation. If, moreover, it is possible to actively influence the probability of a particular location attracting attention by applying image-processing methods, then still less bandwidth might be required. The general aim of the present work is to understand better what regions of a natural scene are represented incompletely or not at all under natural viewing and to determine how this information might be used to steer attention towards other areas of an image to achieve optimum image coding for an electronic display system or more effective advertising or signage. Two practical deliverables are a pilot scheme for reducing video bandwidth and a real-time image display that incorporates image processing to guide fixation to important regions.

场景的物体或区域的哪些特征会引起关注？在过去的几十年中，研究确定了几个基本特征，包括运动，颜色，亮度对比和方向。这些信息对于理解有机体在其与环境的相互作用中使用的机制和策略很重要。奇怪的是，对物体或区域的属性的研究更少，不会引起人们的注意。除了提高我们对生物愿景的理解外，这些知识在诸如频道容量有限的图像和视频编码等应用中可能很重要。如果图像的区域几乎没有受到观众的注意，则需要将较少的通道带宽分配给其表示形式。此外，如果有可能通过应用图像处理方法积极影响特定位置的可能性吸引注意力，那么可能需要更少的带宽。本工作的总体目的是更好地了解自然场景的哪些区域在自然观看下不完全代表或根本没有代表，并确定如何使用此信息来引导图像的其他领域，以实现对电子显示系统或更有效的广告或更有效的广告或标志的最佳图像编码。两个实用的可交付成果是一种用于减少视频带宽和实时图像显示的试点方案，该图像处理结合了图像处理，以指导固定到重要区域。