Guiding visual attention by manipulating orientation in images
Guiding visual attention by manipulating orientation in images
复制标题
通过操纵图像方向来引导视觉注意力
DOI：
10.1109/icme.2013.6607624
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
I. Bajić
中科院分区：
文献类型：
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作者：
Victor A. Mateescu;I. Bajić
视觉注意力在引导我们的注意力到图像中可能有趣的区域方面起着重要的作用。我们的注意力不由自主地被吸引到感知上与周围环境不同的区域。这些区域被标记为“突出”。它们源于主要视觉特征的变化，如颜色、强度和方向。在这项研究中，我们分析了如何操纵图像的特定区域的方向影响人类的视觉注意力。统计霍夫变换是对图像中选定的区域进行统计霍夫变换，在一定的方向范围内构造该区域的边缘分布。图像的剩余部分使用加权统计霍夫变换进行分析，以获得该区域周围的边缘分布。随着区域的旋转，我们测量了这两个分布之间的不相似性，并表明随着不相似性的增加，该区域变得更加显著。该模型还允许我们预测所选区域变得最显著的旋转角度，这使我们能够操纵图像，使所选区域的显著性最大化。我们将该方法应用于一组自然图像，并通过眼动追踪验证其有效性。
Visual attention plays an important role in directing our gaze to potentially interesting areas in images. Our attention is involuntarily drawn to areas that are perceptually different from their immediate surroundings. Such areas are labeled “salient.” They originate from variations in principal visual features such as color, intensity, and orientation. In this study, we analyze how manipulating the orientation of a particular region of an image affects human visual attention. Statistical Hough transform is applied on a selected region in an image to construct the edge distribution of that region over a range of orientations. The remainder of the image is analyzed using a weighted statistical Hough transform to obtain the edge distribution in the region's surroundings. We measure the dissimilarity between these two distributions as the region is rotated and show that the region becomes more salient as the dissimilarity is increased. This model also allows us to predict the angle of rotation at which the selected region becomes most salient, which enables us to manipulate the image so that the selected region's saliency is maximized. We apply our method to a set of natural images and verify its effectiveness through eye-tracking.