Journal of Broadcast Engineering (방송공학회논문지)

The Korean Institute of Broadcast and Media Engineers (한국방송∙미디어공학회)
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Visual Fatigue Prediction for Stereoscopic Video Considering Individual Fusional Characteristics

시청자의 입체시 특성을 고려한 3D 비디오의 피로도 예측

  • 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)
  • 김동현 (연세대학교 전기전자공학부) ;
  • 최성환 (연세대학교 전기전자공학부) ;
  • 손광훈 (연세대학교 전기전자공학부)
  • Received : 2010.12.07
  • Accepted : 2011.03.21
  • Published : 2011.03.30
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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%.

본 논문에서는 시청자의 입체시 특성을 고려한 스테레오 비디오에서의 피로도를 예측하는 알고리듬을 제안하였다. 피로도 예측에 있어서의 개인차를 반영하기 위하여 랜덤 도트 스테레오그램을 이용하여 입체 지각 능력의 그룹화를 수행하여, 그룹화 결과와 피로도 민감성에 어떠한 관계가 있는지 조사하였다. 그리고 최대 시차, 시차 범위, 깊이영상의 움직임의 세 가지 피로 유발 요인들의 조합을 통해 시청자의 합성 능력에 따른 3차원 비디오 피로도 예측을 수행하였다. 결과로는 피어슨 상관계수와 스피어맨 상관계수를 측정하였으며, 예측된 피로도와 주관적 평가 결과를 비교하였을 때 각각 80%와 79%의 높은 상관도를 가짐을 확인하였다.

Keywords

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