Shooting a moving target: Motion-prediction-based transmission for 360-degree videos

@article{Bao2016ShootingAM,
  title={Shooting a moving target: Motion-prediction-based transmission for 360-degree videos},
  author={Yanan Bao and Huasen Wu and Tianxiao Zhang and Albara Ah Ramli and Xin Liu},
  journal={2016 IEEE International Conference on Big Data (Big Data)},
  year={2016},
  pages={1161-1170}
}
Enabled by the rapid development of virtual reality hardware and software, 360-degree video content has proliferated. From the network perspective, 360-degree video transmission imposes significant challenges because it consumes 4 6χ the bandwidth of a regular video with the same resolution. To address these challenges, in this paper, we propose a motion-prediction-based transmission mechanism that matches network video transmission to viewer needs. Ideally, if viewer motion is perfectly known… CONTINUE READING
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