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The 360-degree video allows users to enjoy the whole scene by interactivelyswitching viewports. However, the huge data volume of the 360-degree videolimits its remote applications via network. To provide high quality ofexperience (QoE) for remote web users, this paper presents a tile-basedadaptive streaming method for 360-degree videos. First, we propose a simple yeteffective rate adaptation algorithm to determine the requested bitrate fordownloading the current video segment by considering the balance between thebuffer length and video quality. Then, we propose to use a Gaussian model topredict the field of view at the beginning of each requested video segment. Todeal with the circumstance that the view angle is switched during the displayof a video segment, we propose to download all the tiles in the 360-degreevideo with different priorities based on a Zipf model. Finally, in order toallocate bitrates for all the tiles, a two-stage optimization algorithm isproposed to preserve the quality of tiles in FoV and guarantee the spatial andtemporal smoothness. Experimental results demonstrate the effectiveness andadvantage of the proposed method compared with the state-of-the-art methods.That is, our method preserves both the quality and the smoothness of tiles inFoV, thus providing the best QoE for users.

Spatial and Temporal Consistency-Aware Dynamic Adaptive Streaming for 360-Degree Videos