DocumentCode :
3278556
Title :
Automatic 3D defects identification in stereoscopic videos
Author :
Delis, S. ; Nikolaidis, Nikos ; Pitas, Ioannis
Author_Institution :
Dept. of Inf., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
fYear :
2013
fDate :
15-18 Sept. 2013
Firstpage :
2227
Lastpage :
2231
Abstract :
3DTV and 3D cinema have become quite popular during the last few years. It is now well understood that certain 3D video quality issues may have a negative effect in the 3D viewing experience. In this paper, we propose two novel algorithms that exploit available disparity information, in order to detect two disturbing stereoscopic issues, namely Stereoscopic Window Violations (SWV) and bent window effects. The algorithms´ performance is tested on a number of examples. The proposed algorithms can be used for assessing the overall quality of stereoscopic video content or in order to enable fixing the detected issues in a post-production stage.
Keywords :
stereo image processing; three-dimensional television; video signal processing; 3D cinema; 3D video quality; 3D viewing experience; 3DTV; SWV; automatic 3D defects identification; disparity information; stereoscopic video content; stereoscopic window violations; window effects; 3D quality; disparity; stereo video;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
Type :
conf
DOI :
10.1109/ICIP.2013.6738459
Filename :
6738459
Link To Document :
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