Navigation-aware adaptive streaming strategies for omnidirectional video
Virtual reality (VR) applications target high-quality and zero-latency scene navigation to provide users with a full-immersion sensation within a scene. From a network perspective, this requires transmission of the omnidirectional content in its entirety, at a high resolution, which is not always feasible in bandwidth-limited networks. In this work, we propose an optimal transmission strategy for virtual reality applications able to fulfil the bandwidth requirements, while optimizing the end-user quality experienced in the navigation. In further detail, we consider a tile-based coded content for adaptive streaming systems, and we propose a navigation-aware transmission strategy at the client-side (i.e., adaptation logic), which is able to optimize the rate at which each tile is downloaded. First, we introduce the viewport quality as a metric that reflects the quality of any portion of the sphere displayed by the end-user. Then, we cast the tile-rate optimization as an integer linear programming problem and show that the proposed solution achieves substantial-quality gains when compared to state-of-the-art adaptation logic methods.
System model at client side
Proposed solution of streaming at variable quality based on client navigation within the content.
Silvia Rossi | Laura Toni
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