Measuring 3D Video Quality of Experience (QoE) Using A Hybrid Metric Based on Spatial Resolution and Depth Cues
A three-dimensional (3D) video is a special video representation with an artificial stereoscopic vision effect that increases the depth perception of the viewers. The quality of a 3D video is generally measured based on the similarity to stereoscopic vision obtained with the human vision system (HVS...
| Main Authors: | , , , , |
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| Format: | Article |
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MDPI AG
2023-12-01
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| Series: | Journal of Imaging |
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| Online Access: | https://www.mdpi.com/2313-433X/9/12/281 |
| _version_ | 1797380483280011264 |
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| author | Sahin Coskun Gokce Nur Yilmaz Federica Battisti Musaed Alhussein Saiful Islam |
| author_facet | Sahin Coskun Gokce Nur Yilmaz Federica Battisti Musaed Alhussein Saiful Islam |
| author_sort | Sahin Coskun |
| collection | DOAJ |
| description | A three-dimensional (3D) video is a special video representation with an artificial stereoscopic vision effect that increases the depth perception of the viewers. The quality of a 3D video is generally measured based on the similarity to stereoscopic vision obtained with the human vision system (HVS). The reason for the usage of these high-cost and time-consuming subjective tests is due to the lack of an objective video Quality of Experience (QoE) evaluation method that models the HVS. In this paper, we propose a hybrid 3D-video QoE evaluation method based on spatial resolution associated with depth cues (i.e., motion information, blurriness, retinal-image size, and convergence). The proposed method successfully models the HVS by considering the 3D video parameters that directly affect depth perception, which is the most important element of stereoscopic vision. Experimental results show that the measurement of the 3D-video QoE by the proposed hybrid method outperforms the widely used existing methods. It is also found that the proposed method has a high correlation with the HVS. Consequently, the results suggest that the proposed hybrid method can be conveniently utilized for the 3D-video QoE evaluation, especially in real-time applications. |
| first_indexed | 2024-03-08T20:37:59Z |
| format | Article |
| id | doaj.art-7e93acbaf40b46eea463cd72adf9bfb6 |
| institution | Directory Open Access Journal |
| issn | 2313-433X |
| language | English |
| last_indexed | 2024-03-08T20:37:59Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Imaging |
| spelling | doaj.art-7e93acbaf40b46eea463cd72adf9bfb62023-12-22T14:18:14ZengMDPI AGJournal of Imaging2313-433X2023-12-0191228110.3390/jimaging9120281Measuring 3D Video Quality of Experience (QoE) Using A Hybrid Metric Based on Spatial Resolution and Depth CuesSahin Coskun0Gokce Nur Yilmaz1Federica Battisti2Musaed Alhussein3Saiful Islam4Department of Electrical-Electronics Engineering, Graduate School of Natural and Applied Sciences, Gazi University, Ankara 06560, TurkeyDepartment of Computer Engineering, TED University, Ankara 06420, TurkeyDepartment of Information Engineering, University of Padova, 35131 Padova, ItalyDepartment of Computer Engineering, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh 11543, Saudi ArabiaDepartment of Computer Engineering, TED University, Ankara 06420, TurkeyA three-dimensional (3D) video is a special video representation with an artificial stereoscopic vision effect that increases the depth perception of the viewers. The quality of a 3D video is generally measured based on the similarity to stereoscopic vision obtained with the human vision system (HVS). The reason for the usage of these high-cost and time-consuming subjective tests is due to the lack of an objective video Quality of Experience (QoE) evaluation method that models the HVS. In this paper, we propose a hybrid 3D-video QoE evaluation method based on spatial resolution associated with depth cues (i.e., motion information, blurriness, retinal-image size, and convergence). The proposed method successfully models the HVS by considering the 3D video parameters that directly affect depth perception, which is the most important element of stereoscopic vision. Experimental results show that the measurement of the 3D-video QoE by the proposed hybrid method outperforms the widely used existing methods. It is also found that the proposed method has a high correlation with the HVS. Consequently, the results suggest that the proposed hybrid method can be conveniently utilized for the 3D-video QoE evaluation, especially in real-time applications.https://www.mdpi.com/2313-433X/9/12/2813D videostereoscopic visionhuman vision systemquality of experience3D-video QoE evaluation metricnumerical methods |
| spellingShingle | Sahin Coskun Gokce Nur Yilmaz Federica Battisti Musaed Alhussein Saiful Islam Measuring 3D Video Quality of Experience (QoE) Using A Hybrid Metric Based on Spatial Resolution and Depth Cues Journal of Imaging 3D video stereoscopic vision human vision system quality of experience 3D-video QoE evaluation metric numerical methods |
| title | Measuring 3D Video Quality of Experience (QoE) Using A Hybrid Metric Based on Spatial Resolution and Depth Cues |
| title_full | Measuring 3D Video Quality of Experience (QoE) Using A Hybrid Metric Based on Spatial Resolution and Depth Cues |
| title_fullStr | Measuring 3D Video Quality of Experience (QoE) Using A Hybrid Metric Based on Spatial Resolution and Depth Cues |
| title_full_unstemmed | Measuring 3D Video Quality of Experience (QoE) Using A Hybrid Metric Based on Spatial Resolution and Depth Cues |
| title_short | Measuring 3D Video Quality of Experience (QoE) Using A Hybrid Metric Based on Spatial Resolution and Depth Cues |
| title_sort | measuring 3d video quality of experience qoe using a hybrid metric based on spatial resolution and depth cues |
| topic | 3D video stereoscopic vision human vision system quality of experience 3D-video QoE evaluation metric numerical methods |
| url | https://www.mdpi.com/2313-433X/9/12/281 |
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