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 | |
| Publication status | Published - 2010 Dec 1 |
| 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 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Software
- Computer Vision and Pattern Recognition
- Signal Processing
Cite this
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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
TY - GEN
T1 - Visual fatigue evaluation and enhancement for 2D-plus-depth video
AU - Choi, Jaeseob
AU - Kim, Donghyun
AU - Ham, Bumsub
AU - Choi, Sunghwan
AU - Sohn, Kwanghoon
PY - 2010/12/1
Y1 - 2010/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78651094132&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78651094132&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2010.5653389
DO - 10.1109/ICIP.2010.5653389
M3 - Conference contribution
AN - SCOPUS:78651094132
SN - 9781424479948
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2981
EP - 2984
BT - 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
ER -