QoE measurement of multi-view glassless 3DTV by information integration of biometric measurement and brain function measurement

一般来说，图像质量评估是使用问卷调查。为了改进这一方法，我们正在尝试将生物信息用于图像质量评估。利用近红外光谱技术研究了脑血流对图像质量的影响。结果，我们发现当受试者观看运动图像时，额叶中氧合血红蛋白的作用增强。此外，当图像质量降低时，效果更高。接下来，我们进行了通过编码退化意识测量面部肌肉变化的实验。在实验中，当图像质量改变时，观察到眼睛周围肌肉的眼球线活动增加。结果表明，从视线活动可以推测图像质量的变化。

In general, image quality assessment is using a questionnaire. In order to better this methods, we are trying to use the biological information in image quality assessment. We researched influence of cerebral blood flow on image quality by NIRS (Near-infrared spectroscopy). As a result, we found the effect that oxy-Hb in frontal lobe was increased when the subject is watching a moving image. Moreover, the effect was higher when the image quality is degraded.Next, we conduct the experiment which measures change of facial muscles by the consciousness of coding degradation. In the experiment, when the image quality was changed, the increase in eye-line activity was observed in the muscles around eyes. It was shown that change of image quality can be presumed from eye-line activity.