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Spatial and Temporal Consistency-Aware Dynamic Adaptive Streaming for 360-Degree Videos | | Hui Yuan
; Shiyun Zhao
; Junhui Hou
; Xuekai Wei
; Sam Kwong
; | | Date: |
20 Dec 2019 | | Abstract: | 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. | | Source: | arXiv, 1912.9675 | | Services: | Forum | Review | PDF | Favorites | |
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