Araştırma Makalesi

Depth Perception Assessment of a 3D Video Based on Spatial Resolution

Cilt: 2 Sayı: 1 30 Haziran 2022
PDF İndir
EN

Depth Perception Assessment of a 3D Video Based on Spatial Resolution

Öz

Burgeoning advances in 3 Dimensional (3D) video technologies can only be emphasized by considering the impact of these technologies on the perception of 3D videos from a user point of view. It is a fact that enabling this can be achieved by considering key factors characterizing the nature of a 3D video. Under the light of this fact, spatial resolution and perceptually significant depth levels, which are two effective factors for the depth perception of a 3D video, are used to develop a Reduced Reference (RR) model for the depth perception prediction of a 3D video. While determining the perceptually significant features, bilateral filter is exploited. Structural SIMilarity metric (SSIM) is used to predict the depth perception enabled considering the degradation in the perceptually important features of depth maps having different spatial resolutions. The performance results of the developed model prove that it is quite effective in the depth perception prediction of a 3D video.

Anahtar Kelimeler

Destekleyen Kurum

Scientific and Technological Research Council of Turkey (TÜBITAK)

Proje Numarası

Tubitak 114E551

Kaynakça

  1. [1] Nur Yilmaz G. and Battisti F., “Depth Perception Prediction of 3D Video for Ensuring Advanced Multimedia Services,” IEEE 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video, Stockholm-Helsinki, Sweden-Finland, 3-5 June 2018.
  2. [2] Nur G. and Bozdagi Akar G., “An Abstraction Based Reduced Reference Depth Perception Metric for 3D Video,” International Conference on Image Processing (ICIP), Orlando, Florida, USA, 30 September-3 October 2012.
  3. [3] Nur Yilmaz G., “A Novel Depth Perception Prediction Metric for Advanced Multimedia Applications,” Springer Multimedia Systems, 2019.
  4. [4] Perkis et.al., “QUALINET White Paper on Definitions of Immersive Media Experience (IMEx),” arXiv:2007.07032, 2020. [5] Huynh-Thu and Ghanbari, “Scope of validity of PSNR in image/video quality M. assessment,” IET Electronics Letters, vol. 44, no. 13, pp. 800–801, Jun. 2008.
  5. [6] 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.
  6. [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.
  7. [8] Kim D. and Min D., Oh J., Jeon S., and Sohn K., “Depth Map Quality Metric for Three-Dimensional Video,” SPIE Stereoscopic Displays and Applications, San Jose, CA, USA, 18 Jan. 2009.
  8. [9] De Silva D.V.S.X., Nur G., Ekmekcioglu E., and Kondoz A., “QoE of 3D Media Delivery Systems,” Media Networks: Architectures, Applications, and Standards, CRC Press Taylor and Francis Group, May 2012.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Yapay Zeka

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

30 Haziran 2022

Gönderilme Tarihi

8 Şubat 2022

Kabul Tarihi

21 Şubat 2022

Yayımlandığı Sayı

Yıl 2022 Cilt: 2 Sayı: 1

Kaynak Göster

APA
Nur Yılmaz, G., & Çimtay, Y. (2022). Depth Perception Assessment of a 3D Video Based on Spatial Resolution. Journal of Artificial Intelligence and Data Science, 2(1), 1-7. https://izlik.org/JA27DL68CA
AMA
1.Nur Yılmaz G, Çimtay Y. Depth Perception Assessment of a 3D Video Based on Spatial Resolution. Journal of Artificial Intelligence and Data Science. 2022;2(1):1-7. https://izlik.org/JA27DL68CA
Chicago
Nur Yılmaz, Gökçe, ve Yücel Çimtay. 2022. “Depth Perception Assessment of a 3D Video Based on Spatial Resolution”. Journal of Artificial Intelligence and Data Science 2 (1): 1-7. https://izlik.org/JA27DL68CA.
EndNote
Nur Yılmaz G, Çimtay Y (01 Haziran 2022) Depth Perception Assessment of a 3D Video Based on Spatial Resolution. Journal of Artificial Intelligence and Data Science 2 1 1–7.
IEEE
[1]G. Nur Yılmaz ve Y. Çimtay, “Depth Perception Assessment of a 3D Video Based on Spatial Resolution”, Journal of Artificial Intelligence and Data Science, c. 2, sy 1, ss. 1–7, Haz. 2022, [çevrimiçi]. Erişim adresi: https://izlik.org/JA27DL68CA
ISNAD
Nur Yılmaz, Gökçe - Çimtay, Yücel. “Depth Perception Assessment of a 3D Video Based on Spatial Resolution”. Journal of Artificial Intelligence and Data Science 2/1 (01 Haziran 2022): 1-7. https://izlik.org/JA27DL68CA.
JAMA
1.Nur Yılmaz G, Çimtay Y. Depth Perception Assessment of a 3D Video Based on Spatial Resolution. Journal of Artificial Intelligence and Data Science. 2022;2:1–7.
MLA
Nur Yılmaz, Gökçe, ve Yücel Çimtay. “Depth Perception Assessment of a 3D Video Based on Spatial Resolution”. Journal of Artificial Intelligence and Data Science, c. 2, sy 1, Haziran 2022, ss. 1-7, https://izlik.org/JA27DL68CA.
Vancouver
1.Gökçe Nur Yılmaz, Yücel Çimtay. Depth Perception Assessment of a 3D Video Based on Spatial Resolution. Journal of Artificial Intelligence and Data Science [Internet]. 01 Haziran 2022;2(1):1-7. Erişim adresi: https://izlik.org/JA27DL68CA