Navigation-aware adaptive streaming strategies for omnidirectional video

Abstract

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 fulfill 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 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

MMSP 2017

Proposed solution of streaming at variable quality based on client navigation within the content.

Authors

Silvia Rossi | Laura Toni

Presentations

  • Slides presented during MMSP 2017 – IEEE 19th International Workshop on Multimedia Signal Processing in Luton (London).

Citation

Please cite our paper in your publications if it helps your research:

@inproceedings{rossi2017navigation,
  title={Navigation-aware adaptive streaming strategies for omnidirectional video},
  author={Rossi, Silvia and Toni, Laura},
  booktitle={2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)},
  pages={1--6},
  year={2017},
  organization={IEEE}
}

Acknowledgement

This work has been partially funded by the EPSRC Institutional Sponsorship funding OISTER no 536085.