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http://dx.doi.org/10.5909/JEB.2011.16.2.331

Visual Fatigue Prediction for Stereoscopic Video Considering Individual Fusional Characteristics  

Kim, Dong-Hyun (Electrical and Electronic Engineering Department, Yonsei University)
Choi, Sung-Hwan (Electrical and Electronic Engineering Department, Yonsei University)
Sohn, Kwang-Hoon (Electrical and Electronic Engineering Department, Yonsei University)
Publication Information
Journal of Broadcast Engineering / v.16, no.2, 2011 , pp. 331-338 More about this Journal
Abstract
In this paper, we propose a visual fatigue prediction metric which considers individual fusional characteristics for stereoscopic video. It predicts the visual fatigue level by examining the disparity and motion characteristics of 3D videos. In addition, we classified the viewers into 2 groups according to fusional limit and the slope of fusional response which are acquired from random dot stereogram test. Then, Pearson's and Spearman's correlation coefficient was measured between the proposed metrics and the subjective results, acquiring 80% and 79%.
Keywords
visual fatigue; stereoscopic video; stereoscopic fusion;
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Times Cited By KSCI : 1  (Citation Analysis)
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