Region Priority Based Adaptive 360-Degree Video Streaming Using DASH

Ye, Fuxing; Luo, Jiangtao; Yang, Junchao; Xu, Zheng

doi:10.1109/icalip.2018.8455396

Cited by 5 publications

(1 citation statement)

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“…Liu et al [19] described a serverside rate adaptation strategy for 360-degree video streaming, in which a tile visibility probability model is established. Yang et al [39] proposed a DASH-based 360-degree video adaptive transmission algorithm based on user's viewport. In this algorithms, the network throughput, video buffer length, and viewport were considered for adaptive decision so that it could effectively save the bandwidth.…”

Section: Bit Allocation Algorithmsmentioning

confidence: 99%

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

Yuan

Zhao

Hou

et al. 2020

IEEE J. Sel. Top. Signal Process.

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The 360-degree video allows users to enjoy the whole scene by interactively switching viewports. However, the huge data volume of the 360-degree video limits its remote applications via network. To provide high quality of experience (QoE) for remote web users, this paper presents a tile-based adaptive streaming method for 360-degree videos. First, we propose a simple yet effective rate adaptation algorithm to determine the requested bitrate for downloading the current video segment by considering the balance between the buffer length and video quality. Then, we propose to use a Gaussian model to predict the field of view at the beginning of each requested video segment. To deal with the circumstance that the view angle is switched during the display of a video segment, we propose to download all the tiles in the 360-degree video with different priorities based on a Zipf model. Finally, in order to allocate bitrates for all the tiles, a two-stage optimization algorithm is proposed to preserve the quality of tiles in FoV and guarantee the spatial and temporal smoothness. Experimental results demonstrate the effectiveness and advantage 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 in FoV, thus providing the best QoE for users.Index Terms-360-degree video, field of view, rate adaptation, DASH, video compression, quality of experience.

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Section: Bit Allocation Algorithmsmentioning

confidence: 99%