A Framework to Evaluate Omnidirectional Video Coding Schemes

By Matt C. Yu, Haricharan Lakshman, Bernd Girod. 2015 IEEE International Symposium on Mixed and Augmented Reality, 2015

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Revisiting Trends in Augmented Reality Research: A Review of the 2nd Decade of ISMAR (2008–2017) (2018, background): “Finally, apart from Yu et al. [150] there is little work on novel evaluation methods.”
Flare: Practical Viewport-Adaptive 360-Degree Video Streaming for Mobile Devices (2018, background): “Other studies along this direction include [26, 54, 60], to name a few.”
Weighted-to-Spherically-Uniform Quality Evaluation for Omnidirectional Video (2017, background): “Yu [6] proposed a quality metric for spherical surface called spherical peak signal-to-noise ratio (S-PSNR), which measures distortion based on an approximately evenly sampled point set on spherical surface, and the sample values are interpolated by the corresponding neighboring samples on projectio”
Saliency in VR: How Do People Explore Virtual Environments? (2016, background): “Thus, optimizing the bandwidth for VR video with advanced compression schemes is important and has become an active area of research [61].”
Viewport-adaptive navigable 360-degree video delivery (2016, methodology): “This over-sampling degrades the performance of traditional video encoders [25].”
Gaze Prediction in Dynamic 360° Immersive Videos (2018, background): “[42] Dynamic 10 10sec 2,500 10 Head movement in VR Oculus DK2 Head position Lo et al.”