EN
Edge Detection for 3 Dimensional Video Quality Assessment
Abstract
The impact of 3 Dimensional (3D) video technologies on user perception of 3D videos can only be highlighted by considering the impact of these technologies on user perception of 3D videos. It is true that enabling this can be accomplished by taking into account the crucial criteria of defining the nature of a 3D video. Under the light of this fact, an edge detection algorithm relying on the Canny edge detector, is used to derive preliminary results to develop a No Reference (NR) model for the VQA of a 3D video. The performance evaluation results obtained by using the proposed algorithm prove that proposed study is quite effective in the VQA of a 3D video.
Keywords
Supporting Institution
Tubitak
Project Number
122E015
References
- [1] G. Nur, H. Kodikara Arachchi, S. Dogan, and A.M. Kondoz, “Seamless Video Access for Mobile Devices by Content-Aware Utility-Based Adaptation,” Springer Multimedia Tools and Applications, vol. 70, pp. 689-719, 2014.
- [2] D.V.S.X. De Silva, G. Nur, E. Ekmekcioglu, and A. Kondoz, “QoE of 3D Media Delivery Systems,” Media Networks: Architectures, Applications, and Standards, CRC Press Taylor and Francis Group, 14 May 2012.
- [3] G. Nur, V. De Silva, H. Kodikara Arachchi, A. Kondoz, W. Fernando, M.O. Martínez-Rach and S. Dogan, “Sensitivity of the HVS for Binocular Disparity Cue in 3D Displays under Different Ambient Illumination Conditions,” IEEE International Conference on Consumer Electronics, Las Vegas, Nevada, USA, 13-16 January 2012.
- [4] E. Cemiloglu and G. Nur Yilmaz, “Blind Video Quality Assessment via Spatiotemporal Statistical Analysis of Adaptive Cube Size 3D-DCT Coefficients,” IET Image Processing, 2020.
- [5] Kai Zhao, Kun Yuan, Ming Sun, Xing Wen; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 1302-1310, 2023.
- [6] G. Nur Yilmaz, “Context and Content Based Scalable Video Adaptation for Ubiquitous Multimedia Communication Services,” Springer Multimedia Tools and Applications, 2021.
- [7] Pinson M.H. and Wolf S., “A New Standardized Method for Objectively Measuring Video Quality,” IEEE Trans. Broadcasting, vol. 50, no. 3, pp. 312-322, Sep. 2004.
- [8] Wang Z., Lu L., and Bovik A. C., “Video Quality Assessment Based on Structural Distortion Measurement,” Proc. of Signal Processing: Image Com., vol. 19, no. 2, pp. 121-132, Feb. 2004.
Details
Primary Language
English
Subjects
Artificial Intelligence
Journal Section
Research Article
Publication Date
June 30, 2023
Submission Date
May 10, 2023
Acceptance Date
June 26, 2023
Published in Issue
Year 2023 Volume: 3 Number: 1
APA
Nur Yılmaz, G., & Çimtay, Y. (2023). Edge Detection for 3 Dimensional Video Quality Assessment. Journal of Artificial Intelligence and Data Science, 3(1), 50-53. https://izlik.org/JA84RU28BT
AMA
1.Nur Yılmaz G, Çimtay Y. Edge Detection for 3 Dimensional Video Quality Assessment. Journal of Artificial Intelligence and Data Science. 2023;3(1):50-53. https://izlik.org/JA84RU28BT
Chicago
Nur Yılmaz, Gökçe, and Yücel Çimtay. 2023. “Edge Detection for 3 Dimensional Video Quality Assessment”. Journal of Artificial Intelligence and Data Science 3 (1): 50-53. https://izlik.org/JA84RU28BT.
EndNote
Nur Yılmaz G, Çimtay Y (June 1, 2023) Edge Detection for 3 Dimensional Video Quality Assessment. Journal of Artificial Intelligence and Data Science 3 1 50–53.
IEEE
[1]G. Nur Yılmaz and Y. Çimtay, “Edge Detection for 3 Dimensional Video Quality Assessment”, Journal of Artificial Intelligence and Data Science, vol. 3, no. 1, pp. 50–53, June 2023, [Online]. Available: https://izlik.org/JA84RU28BT
ISNAD
Nur Yılmaz, Gökçe - Çimtay, Yücel. “Edge Detection for 3 Dimensional Video Quality Assessment”. Journal of Artificial Intelligence and Data Science 3/1 (June 1, 2023): 50-53. https://izlik.org/JA84RU28BT.
JAMA
1.Nur Yılmaz G, Çimtay Y. Edge Detection for 3 Dimensional Video Quality Assessment. Journal of Artificial Intelligence and Data Science. 2023;3:50–53.
MLA
Nur Yılmaz, Gökçe, and Yücel Çimtay. “Edge Detection for 3 Dimensional Video Quality Assessment”. Journal of Artificial Intelligence and Data Science, vol. 3, no. 1, June 2023, pp. 50-53, https://izlik.org/JA84RU28BT.
Vancouver
1.Gökçe Nur Yılmaz, Yücel Çimtay. Edge Detection for 3 Dimensional Video Quality Assessment. Journal of Artificial Intelligence and Data Science [Internet]. 2023 Jun. 1;3(1):50-3. Available from: https://izlik.org/JA84RU28BT
