Visual Comfort Assessment for Stereoscopic Image Retargeting
May 15, 2018 Β· Declared Dead Β· π International Symposium on Circuits and Systems
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Authors
Ya Zhou, Wei Zhou, Ping An, Zhibo Chen
arXiv ID
1805.05575
Category
cs.MM: Multimedia
Citations
16
Venue
International Symposium on Circuits and Systems
Last Checked
3 months ago
Abstract
In recent years, visual comfort assessment (VCA) for 3D/stereoscopic content has aroused extensive attention. However, much less work has been done on the perceptual evaluation of stereoscopic image retargeting. In this paper, we first build a Stereoscopic Image Retargeting Database (SIRD), which contains source images and retargeted images produced by four typical stereoscopic retargeting methods. Then, the subjective experiment is conducted to assess four aspects of visual distortion, i.e. visual comfort, image quality, depth quality and the overall quality. Furthermore, we propose a Visual Comfort Assessment metric for Stereoscopic Image Retargeting (VCA-SIR). Based on the characteristics of stereoscopic retargeted images, the proposed model introduces novel features like disparity range, boundary disparity as well as disparity intensity distribution into the assessment model. Experimental results demonstrate that VCA-SIR can achieve high consistency with subjective perception.
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