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Transition of Visual Attention Assessment in Stereoscopic Images With Evaluation of Subjective Visual Quality and Discomfort

机译:立体图像中视觉注意评估的过渡与主观视觉质量和不适的评估

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摘要

Through statistical analysis of the behaviors of human visual attention, we discovered that fixation behaviors are highly correlated with the degree to which the viewer experiences visual quality/discomfort with stereoscopic images. To quantify the correlation between visual attention and quality/discomfort with respect to various distortions and disparities, we explore a novel methodology called transition of visual attention (ToVA) that accounts for diverse low-level luminance, chrominance, and depth attributes of 3D images in eye-tracker experiments. Moreover, saliency entropy is defined in order to quantify the distribution of fixations for 3D images. Using saliency entropy, we interpret perceptual factors in accordance with the non-uniform resolution of the human eye and the stereoscopic limits caused by foveation and Panum’s fusional area. We then measure ToVA in terms of relative saliency entropy using Kullback-Leibler divergence. To evaluate the effectiveness of ToVA, a successful example application is also provided for which ToVA is applied to obtain subjective measurements of the quality and discomfort experienced when viewing 3D displays, rather than relying on conventional subjective tests using a scoring system.
机译:通过对人类视觉注意力行为的统计分析,我们发现注视行为与观看者体验到的立体图像的视觉质量/不适程度高度相关。为了量化视觉注意与各种变形和视差之间的质量/不适感之间的相关性,我们探索了一种称为视觉注意过渡(ToVA)的新颖方法,该方法解决了3D图像中各种低级亮度,色度和深度属性眼动仪实验。此外,显着性熵被定义以便量化用于3D图像的注视的分布。利用显着性熵,我们根据人眼的不均匀分辨率以及由中心凹和Panum融合区引起的立体限制来解释感知因素。然后,我们使用Kullback-Leibler散度根据相对显着性熵来衡量ToVA。为了评估ToVA的有效性,还提供了一个成功的示例应用程序,该应用程序可以使用ToVA获得观看3D显示器时所经历的质量和不适感的主观测量,而不是依靠使用评分系统的常规主观测试。

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