A model of network related QoE for 3D video

Three Dimensional video quality comprises a variety of perceptual attributes, including overall image quality, naturalness, presence, perceived depth, comfort, immersiveness, etc. This paper proposes a novel objective QoE model for 3D video streaming that takes into account network parameters (i.e. packet losses)and is based on the relationship between objective and subjective video quality measures. The investigation is concerned with stereoscopic video (left-and-right views). The analysis of the results indicate that the proposed QoE model has a strong correlation with MOS scores, hence can be effectively used in predicting the overall image quality of 3D videos transmitted over lossy networks.

[1]  Martin Reisslein,et al.  Objective Video Quality Assessment Methods: A Classification, Review, and Performance Comparison , 2011, IEEE Transactions on Broadcasting.

[2]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[3]  Ahmet M. Kondoz,et al.  Quality analysis for 3D video using 2D video quality models , 2008, IEEE Transactions on Consumer Electronics.

[4]  Tasos Dagiuklas,et al.  On the performance of H.264/MVC over lossy IP-based networks , 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

[5]  Guihua Er,et al.  Objective quality assessment of depth image based rendering in 3DTV system , 2009, 2009 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video.

[6]  Stefan Parkvall,et al.  LTE: the evolution of mobile broadband , 2009, IEEE Communications Magazine.

[7]  Xiangyang Ji,et al.  Quality assessment of 3D asymmetric view coding using spatial frequency dominance model , 2009, 2009 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video.

[8]  Luigi Rizzo,et al.  Dummynet: a simple approach to the evaluation of network protocols , 1997, CCRV.

[9]  Seong Gon Choi,et al.  A study on a QoS/QoE correlation model for QoE evaluation on IPTV service , 2010, 2010 The 12th International Conference on Advanced Communication Technology (ICACT).

[10]  Itu-T and Iso Iec Jtc.  Advanced video coding for generic audiovisual services , 2010 .

[11]  Sugato Chakravarty,et al.  Methodology for the subjective assessment of the quality of television pictures , 1995 .

[12]  ITU-T Rec. P.910 (04/2008) Subjective video quality assessment methods for multimedia applications , 2009 .

[13]  Margaret H. Pinson,et al.  A new standardized method for objectively measuring video quality , 2004, IEEE Transactions on Broadcasting.

[14]  David Soldani.  Means and methods for collecting and analyzing QoE measurements in wireless networks , 2006, 2006 International Symposium on a World of Wireless, Mobile and Multimedia Networks(WoWMoM'06).

[15]  A. Murat Tekalp,et al.  Unequal inter-view rate allocation using scalable stereo video coding and an objective stereo video quality measure , 2008, 2008 IEEE International Conference on Multimedia and Expo.

[16]  Tasos Dagiuklas,et al.  Valuing quality of experience: A brave new era of user satisfaction and revenue possibilities , 2011, 2011 50th FITCE Congress - "ICT: Bridging an Ever Shifting Digital Divide".

[17]  Heiko Schwarz,et al.  Subjective performance evaluation of the SVC extension of H.264/AVC , 2008, 2008 15th IEEE International Conference on Image Processing.