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Proceedings of the 18th International Conference on Advances in Mobile Computing & Multimedia
Streaming 360°videos to a head-mounted display (HMD) client is challenging due to their high network resource consumption and computational load. This is due to the use of gaze point prediction or image saliency features from the field of view (FoV) since, in real-time scenarios, FoV extraction is computationally demanding. We propose a functional gaze prediction system that addresses these issues by relying on a tiling scheme for gaze prediction. We condition gaze point prediction on virtualdoi:10.1145/3428690.3429174 fatcat:xvcrbjzcnffotjyb3ywztgvm6e