CNN viewpoint prediction plus Laplace-modeled error yields per-tile visibility probabilities that drive a steepest-descent solver for multi-user 360-video rate allocation, claimed to outperform prior schemes.
On improving video streaming efficiency, fairness, stability, and convergence time through client-server cooperation,
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Probabilistic Tile Visibility-Based Server-Side Rate Adaptation for Adaptive 360-Degree Video Streaming
CNN viewpoint prediction plus Laplace-modeled error yields per-tile visibility probabilities that drive a steepest-descent solver for multi-user 360-video rate allocation, claimed to outperform prior schemes.