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An EEG-based Study on Perception of Video Distortion under Various Content Motion Conditions
IEEE Transactions on Multimedia ( IF 7.3 ) Pub Date : 2020-04-01 , DOI: 10.1109/tmm.2019.2934425
Xiwen Liu , Xiaoming Tao , Mai Xu , Yafeng Zhan , Jianhua Lu

Human perception sensitivity to video distortion is vital for visual quality assessment (VQA). Different from the perception mechanism of image distortion that has been thoroughly studied, the perception of video distortion is inevitably influenced by motion of dynamic content due to the characteristics of the human visual system (HVS). In this paper, electroencephalography (EEG) is used as a novel psychophysiological method to study the human perception sensitivity to quantification-aroused video distortion under various content motion conditions. For this purpose, we conduct experiments to record the EEG signals of the subjects when they are watching distorted videos. According to the feature analysis of EEG data, the P300 component aroused by human perception of video quality change is selected as the indicator of human perception of distortion. By the means of classification based on linear discriminant analysis (LDA), it is found that the separability of the P300 component, which is measured by the area under curve (AUC) of the receiver operating characteristic (ROC), is positively correlated with the perceptibility of distortion. The correlation provides a valid psychophysiological method, which is exempt from being influenced by subjective bias due to human high-level cognitive activities, for evaluating distortion perceptibility. In addition, the regression analysis results demonstrate a sigmoid-typed quantitative relation between the perceptibility of distortion and separability of the P300 component. Based on such relation, the perceptibility thresholds of distortion corresponding to various content motion speeds are calibrated by EEG signals and it is found that the content motion speed has a significant impact on distortion perceptibility.

中文翻译:

基于脑电图的各种内容运动条件下视频失真感知研究

人类对视频失真的感知敏感性对于视觉质量评估 (VQA) 至关重要。不同于已经深入研究的图像失真感知机制,由于人类视觉系统(HVS)的特性,视频失真的感知不可避免地受到动态内容运动的影响。在本文中,脑电图 (EEG) 被用作一种新的心理生理学方法来研究人类在各种内容运动条件下对量化引起的视频失真的感知敏感性。为此,我们进行实验以记录受试者在观看失真视频时的脑电信号。根据脑电数据特征分析,选取人对视频质量变化感知引起的P300分量作为人对失真感知的指标。通过基于线性判别分析(LDA)的分类方法,发现以受试者工作特征(ROC)的曲线下面积(AUC)衡量的P300成分的可分离性与失真的可感知性。该相关性为评估失真可感知性提供了一种有效的心理生理学方法,该方法不受人类高级认知活动引起的主观偏见的影响。此外,回归分析结果表明失真的可感知性和 P300 组件的可分离性之间存在 sigmoid 类型的定量关系。基于这样的关系,
更新日期:2020-04-01
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