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Investigation and modeling of visual fatigue caused by S3D content using eye-tracking

机译:使用眼动追踪研究和建模由S3D内容引起的视觉疲劳

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摘要

3D has been one of the most important technologies of the last decade having an exponential progression. Nevertheless, several problems such as visual discomfort and visual fatigue have slowed its progression for homes. This factor decreases significantly the overall quality of experience from watching 3D content and reduces the level of satisfaction of a user. This study explores the accumulation of visual fatigue when watching 3D video in close to real-life conditions. In order to obtain more information about visual discomfort, an hour of eye-tracking experiments have been conducted. Investigations have been made by analyzing information provided both by users through questionnaires and visual gaze characteristics recording. Obtained results are compared to data produced when watching 2D. The deep statistical analysis showed that time and video content have an influence on video fatigue accumulation and visual functions. With respect to the obtained results, a model has been proposed based on video characteristics (motion activity, disparity range and changes) and the previous state of visual fatigue.
机译:3D已经成为近十年来最重要的技术,并且呈指数级增长。然而,诸如视觉不适和视觉疲劳之类的一些问题减慢了其在家庭中的发展。该因素显着降低了观看3D内容的整体体验质量,并降低了用户的满意度。这项研究探索了在接近现实生活条件下观看3D视频时视觉疲劳的累积情况。为了获得有关视觉不适的更多信息,已经进行了一个小时的眼球追踪实验。通过分析用户通过问卷调查和视线特征记录提供的信息来进行调查。将获得的结果与观看2D时产生的数据进行比较。深入的统计分析表明,时间和视频内容会影响视频疲劳累积和视觉功能。关于获得的结果,已经基于视频特征(运动活动,视差范围和变化)和视觉疲劳的先前状态提出了模型。

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