Visual fatigue evaluation and enhancement for 2D-plus-depth video

Jaeseob Choi; Donghyun Kim; Bumsub Ham; Sunghwan Choi; Kwanghoon Sohn

doi:10.1109/ICIP.2010.5653389

Visual fatigue evaluation and enhancement for 2D-plus-depth video

Jaeseob Choi, Donghyun Kim, Bumsub Ham, Sunghwan Choi, Kwanghoon Sohn

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

46 Citations (Scopus)

Abstract

A 3D video is expected to be a representative technique of realistic system but still has some problems such as visual fatigue and headache. In this paper, we propose a visual fatigue evaluation algorithm to predict the degree of visual fatigue from a 2D-plusdepth video. Spatial and temporal characteristics of the depth video are main factors of visual fatigue for autostereoscopic displays. Using depth image directly, we estimate spatial and temporal complexities, depth position and scene movement of the 3D video. Then, the overall visual fatigue of the 3D video is evaluated to have higher correlation with subjective fatigue evaluation by a linear regression. Moreover we control the pixel value of depth image from the 3D video which may induce severe fatigue to make more comfortable 3D video. The results of proposed algorithm show a considerable correlation with subjective visual fatigue.

Original language	English
Title of host publication	2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Pages	2981-2984
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2010.5653389
Publication status	Published - 2010
Event	2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong Duration: 2010 Sep 26 → 2010 Sep 29

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Other

Other	2010 17th IEEE International Conference on Image Processing, ICIP 2010
Country	Hong Kong
City	Hong Kong
Period	10/9/26 → 10/9/29

All Science Journal Classification (ASJC) codes

Software
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

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title = "Visual fatigue evaluation and enhancement for 2D-plus-depth video",

abstract = "A 3D video is expected to be a representative technique of realistic system but still has some problems such as visual fatigue and headache. In this paper, we propose a visual fatigue evaluation algorithm to predict the degree of visual fatigue from a 2D-plusdepth video. Spatial and temporal characteristics of the depth video are main factors of visual fatigue for autostereoscopic displays. Using depth image directly, we estimate spatial and temporal complexities, depth position and scene movement of the 3D video. Then, the overall visual fatigue of the 3D video is evaluated to have higher correlation with subjective fatigue evaluation by a linear regression. Moreover we control the pixel value of depth image from the 3D video which may induce severe fatigue to make more comfortable 3D video. The results of proposed algorithm show a considerable correlation with subjective visual fatigue.",

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Choi, J, Kim, D , Ham, B, Choi, S & Sohn, K 2010, Visual fatigue evaluation and enhancement for 2D-plus-depth video. in 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings., 5653389, Proceedings - International Conference on Image Processing, ICIP, pp. 2981-2984, 2010 17th IEEE International Conference on Image Processing, ICIP 2010, Hong Kong, Hong Kong, 10/9/26. https://doi.org/10.1109/ICIP.2010.5653389

Visual fatigue evaluation and enhancement for 2D-plus-depth video. / Choi, Jaeseob; Kim, Donghyun ; Ham, Bumsub; Choi, Sunghwan; Sohn, Kwanghoon.

2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings. 2010. p. 2981-2984 5653389 (Proceedings - International Conference on Image Processing, ICIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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