Visual comfort assessment for stereoscopic image retargeting

Zhou, Ya and Zhou, Wei 2018. Visual comfort assessment for stereoscopic image retargeting. Presented at: IEEE International Symposium on Circuits and Systems (ISCAS), Florence, Italy, 27-30 May 2018. 2018 IEEE International Symposium on Circuits and Systems (ISCAS). pp. 1-5. 10.1109/ISCAS.2018.8351198

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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.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Computer Science & Informatics
ISBN:	978-1-5386-4882-7
ISSN:	2379-447X
Last Modified:	30 Aug 2023 14:30
URI:	https://orca.cardiff.ac.uk/id/eprint/161681

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