Exploiting layer and spatial correlations to enhance SVC and tile based 360-degree video streaming
Exploiting layer and spatial correlations to enhance SVC and tile based 360-degree video streaming
复制标题
利用层和空间相关性来增强 SVC 和基于图块的 360 度视频流
DOI:
10.1016/j.comnet.2021.107985
复制
发表时间:
2021
影响因子:
5.6
通讯作者:
Gao Qian
中科院分区:
文献类型:
--
作者:
Zhang Guoqiang;Wu Chenyi;Gao Qian
Streaming 360-degree videos over today’s Internet is challenging due to its high bandwidth and low Motion-to-Photon latency requirements. Viewport adaptive streaming is a promising technique to cope with these challenges by allocating more bitrates to a user’s constrained field of view and streaming appropriate representations based on the user’s estimated throughput and fixation point. A typical dynamic adaptive streaming system uses a Media Presentation Description (MPD) file to describe the sustainable bitrates of a period for different quality representations. However, video bitrates vary significantly along the temporal dimension for Variable Bitrate (VBR) videos. In addition to the throughput overestimate/underestimate problem, video bitrate overestimate/underestimate also affects the efficiency of Adaptive Bitrate (ABR) algorithms.In this paper, we first discovered that for SVC and tile-based encoding, strong video chunk size correlation can be observed on both the layer and spatial dimensions for 360-degree videos. We then proposed to enhance the 360-degree video scheduling framework with a chunk size predictor that predicts the size of: (1) a future enhancement layer video chunk based on the corresponding base layer chunk of the same tiled segment; (2) future base layer video chunks based on the horizontally adjacent base layer video chunks. Experiments showed that ABR algorithms augmented by a chunk size predictor can significantly improve a user’s perceived video playback quality.
登录
查看更多内容
DOI:
10.1109/tcsvt.2007.905532
发表时间:
2007-09-01
影响因子:
8.4
作者:
Schwarz, Heiko;Marpe, Detlev;Wiegand, Thomas
通讯作者:
Wiegand, Thomas
影响因子:
--
作者:
Patrice Rondao-Alface;J. Macq;Nico Verzijp
通讯作者:
Patrice Rondao-Alface;J. Macq;Nico Verzijp
影响因子:
5.6
作者:
Zhang Guoqiang;Wu Yue;Han Xu;Gao Qian;Chen Jiasi
通讯作者:
Chen Jiasi
DOI:
10.1109/tcsvt.2003.815165
发表时间:
2003-07-01
影响因子:
8.4
作者:
Wiegand, T;Sullivan, GJ;Luthra, A
通讯作者:
Luthra, A
DOI:
10.1109/lcomm.2018.2848915
发表时间:
2018-09-01
期刊:
IEEE COMMUNICATIONS LETTERS
影响因子:
--
作者:
Thanh Cong Nguyen;Yun, Ji-Hoon
通讯作者:
Yun, Ji-Hoon