LL-VAS: Adaptation Method for Low-Latency 360-degree Video Streaming over Mobile Networks

Abstract

With the ability to provide an “immersive experience”, 360-degree video-based applications are becoming more and more popular nowadays. In this paper, we propose LL-VAS, a novel adaptation method for low-latency 360-degree video streaming over mobile networks. By applying tile-based streaming, the proposed method allows 360-degree video streaming over resource-constrained mobile networks. In addition, by actively monitoring network throughput at the tile level, the proposed method can detect reductions in network throughput, and adapt video content in a timely manner to avoid re-buffering. Trace-driven experiments show that the proposed method can significantly decrease the number of re-buffering and re-buffering time under strong network throughput fluctuations and small buffer size when compared to reference methods.