Visual Comfort Assessment Metric Based on Motion Features in Salient Motion Regions for Stereoscopic 3D Video
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Visual comfort assessment for stereoscopic 3D video is of great importance for stereoscopic safety and health issue. In order to investigate visual discomfort induced by motion features in salient motion regions, we propose a visual comfort assessment metric that focuses on pixel-level motion features in salient motion regions. In our framework, we propose the pixel-level motion features extraction method based on point detector, Kanade-Lucas-Tomasi(KLT) feature tracker, and Salient Motion Depth Extraction (SMDE) approach. The motion features are spatially pooled and temporally pooled to predict visual comfort score. Subjective assessments have been conducted to evaluate our proposed visual comfort metric using natural stereoscopic videos. The experiment results have been demonstrated that our proposed visual comfort metric improves the correlation with subjective assessments.
Keywordsvisual comfort assessment point detector KLT feature tracker SMDE approach
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- 1.Tam, W.J., Speranza, F., Yano, S., Shimono, K.: Ono: Stereoscopic 3D-TV: Visual Comfort. IEEE Transactions on Broadcasting 99, 1–1 (2011)Google Scholar
- 2.Choi, J., Kim, D., Ham, B., Choi, S., Sohn, K.: Visual fatigue evaluation and enhancement for 2D-plus-depth video. In: 2010 17th IEEE International Conference on Image Processing (ICIP), pp. 2981–2984 (2010)Google Scholar
- 5.ITU Recommendation. 500-11, Methodology for the subjective assessment of the quality of television pictures, International Telecommunication Union, Geneva, Switzerland (2002)Google Scholar
- 6.Tomasi, C., Kanade, T.: Detection and tracking of point features (1991)Google Scholar
- 7.Lowe, D.G.: Distinctive image features from scale-invariant keypoints 60(2), 91–110 (2004)Google Scholar
- 9.IVY Lab stereoscopic video database, http://ivylab.kaist.ac.kr/demo/ivy3D-LocalMotion/index.htm