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Panoramic video delivery based on Laplace compensation and Sphere-Markov probability model

Virtual Reality (VR) is on the rise nowadays. To save bandwidth and ensure high quality at the same time, only the tiles within field of view (FOV) of the user should be transmitted in high quality while other tiles in low quality or even not transmitted. However, if a user's viewpoint moves fast while watching a panoramic video, low-quality content will always appear in the FOV because of the round-trip time (RTT) delay. Therefore, prediction of viewpoints is used to reduce low-quality area in the FOV. In this paper, we propose methods based on Laplace compensation and Sphere-Markov probability to increase high-quality area in the FOV. Quality value could be increased at most 60.6% and 137% respectively by the two methods.