Edge Detection for 3 Dimensional Video Quality Assessment

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:

3D video edge detection, video quality assessment,

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[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.
[9] E S Li, etc., “An Adaptive Edge-detection Method Based on the Canny Operator,” International Conference on Environmental Science and Information Application Technology, pp.465–469, 2009.
[10] Yu Chai, Sujing Wei, Xinchun Li , "The Multi-Scale Hough Transform Lane Detection Method Based on the Algorithm of Otsu and Canny," Advanced Materials Research, vol. 1042, pp. 126-130. 001: I .4028 /www.scientific.netlAMR.I042.126, 2014.
[11] Kaur, Er Amandeep, and Er Vikas Wasson. "A novel approach to no-reference image quality assessment using canny magnitude based upon neural network." Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2017 2nd IEEE International Conference on. IEEE, 2017.
[12] Gong, Y., Li, X., Zhang, H., Liu, Q., & Sun, Y., “An improved Canny algorithm based on adaptive 2D-Otsu and Newton iterative”, IEEE 2nd International Conference on Image, Vision and Computing (ICIVC), 2017.

Journal of Artificial Intelligence and Data Science-Cover

Yayın Aralığı: Yılda 2 Sayı
Başlangıç: 2021
Yayıncı: İzmir Katip Çelebi Üniversitesi

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