A Study on Quality Metrics for 360 Video Communications

360 videos have recently become a popular virtual reality content type. However, a good quality metric for 360 videos is still an open issue. In this work, our goal is to identify appropriate objective quality metrics for 360 video communications. Especially, fourteen objective quality measures at different processing phases are considered. Also, a subjective test is conducted in this study. The relationship between objective quality and subjective quality is investigated. It is found that most of the PSNR-related quality measures are well correlated with subjective quality. However, for evaluating video quality across different contents, a content-based quality metric is needed. key words: 360 video, objective quality, subjective quality, video processing

[1]  Anh T. Pham,et al.  A Multi-Factor QoE Model for Adaptive Streaming over Mobile Networks , 2016, 2016 IEEE Globecom Workshops (GC Wkshps).

[2]  Zhan Ma,et al.  Perceptual Quality Assessment of Video Considering Both Frame Rate and Quantization Artifacts , 2011, IEEE Transactions on Circuits and Systems for Video Technology.

[3]  Truong Cong Thang,et al.  A subjective study on QoE of 360 video for VR communication , 2017, 2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP).

[4]  Zhou Wang,et al.  Multiscale structural similarity for image quality assessment , 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

[5]  Anh T. Pham,et al.  A Histogram-Based Quality Model for HTTP Adaptive Streaming , 2017, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

[6]  Feng Qian,et al.  Optimizing 360 video delivery over cellular networks , 2016, ATC@MobiCom.

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

[8]  Federica Battisti,et al.  Impact of video content and transmission impairments on quality of experience , 2016, Multimedia Tools and Applications.

[9]  Bernd Girod,et al.  A Framework to Evaluate Omnidirectional Video Coding Schemes , 2015, 2015 IEEE International Symposium on Mixed and Augmented Reality.

[10]  Christian Timmerer,et al.  An evaluation of Heart Rate and ElectroDermal Activity as an objective QoE evaluation method for immersive virtual reality environments , 2016, 2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX).

[11]  Gwendal Simon,et al.  Viewport-adaptive navigable 360-degree video delivery , 2016, 2017 IEEE International Conference on Communications (ICC).

[12]  David Swapp,et al.  An ‘In the Wild’ Experiment on Presence and Embodiment using Consumer Virtual Reality Equipment , 2016, IEEE Transactions on Visualization and Computer Graphics.

[13]  Yong Man Ro,et al.  Graph-Based Perceptual Quality Model for Audiovisual Contents , 2007, 2007 IEEE International Conference on Multimedia and Expo.