A Weighted Tile-based Approach for Viewport Adaptive 360° Video Streaming

被引:2
作者
Yaqoob, Abid [1 ]
Muntean, Gabriel-Miro [2 ]
机构
[1] Dublin City Univ, Insight Ctr Data Analyt, Dublin, Ireland
[2] Dublin City Univ, Performance Engn Lab, Dublin, Ireland
来源
2020 IEEE INTERNATIONAL SYMPOSIUM ON BROADBAND MULTIMEDIA SYSTEMS AND BROADCASTING (BMSB) | 2020年
基金
爱尔兰科学基金会;
关键词
Tile-based technique; 360 degrees video; Viewport-dependent streaming; Adaptive streaming; Weight allocation; SUBJECTIVE ASSESSMENT; MULTIMEDIA;
D O I
10.1109/BMSB49480.2020.9379517
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Recently, affordable virtual reality (VR) technology has experienced increased attention as it enables innovative and immersive 360 degrees media applications. However, the expected immersive rich media streaming experience is hindered by excessive bandwidth requirements of high-resolution 360 degrees content. It is essential to devise technologies that enable persistent delivery of such bandwidth-hungry applications over the best-effort packet. networks. Tile-based adaptive streaming is one of such techniques that support differentiated streaming of quality-variable tiles depending on their position within the viewport. This paper proposes a weighted tile-based approach for 360 degrees video streaming. First, a content-agnostic viewport prediction approach is proposed. Second, a novel viewport and bitrate adaptation heuristic solution which dynamically selects the coverage of the viewport and its marginal regions and allocates weights to the tiles in these regions is introduced. Finally, suitable video bitrates for each tile based on its weight and available network throughput is allocated. The solution is tested and assessed in comparison with alternative approaches resulting in improved viewport quality and lower bandwidth utilization.
引用
收藏
页数:7
相关论文
共 31 条
[1]  
Bao YN, 2016, 2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), P1161, DOI 10.1109/BigData.2016.7840720
[2]   Viewport-Adaptive Navigable 360-Degree Video Delivery [J].
Corbillon, Xavier ;
Simon, Gwendal ;
Devlic, Alisa ;
Chakareski, Jacob .
2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2017,
[3]   Towards Bandwidth Efficient Adaptive Streaming of Omnidirectional Video over HTTP Design, Implementation, and Evaluation [J].
Graf, Mario ;
Timmerer, Christian ;
Mueller, Christopher .
PROCEEDINGS OF THE 8TH ACM MULTIMEDIA SYSTEMS CONFERENCE (MMSYS'17), 2017, :261-271
[4]  
He D., 2018, ACM SIGCOMM WORKSH A
[5]  
He D., 2018, ICETE
[6]  
Hosseini M, 2016, IEEE INT SYM MULTIM, P107, DOI [10.1109/ISM.2016.0028, 10.1109/ISM.2016.45]
[7]   VAS360: QOE-DRIVEN VIEWPORT ADAPTIVE STREAMING FOR 360 VIDEO [J].
Hu, Yuxiang ;
Liu, Yu ;
Wang, Yumei .
2019 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA & EXPO WORKSHOPS (ICMEW), 2019, :324-329
[8]   Subjective Assessment of BitDetect-A Mechanism for Energy-Aware Multimedia Content Adaptation [J].
Moldovan, Arghir-Nicolae ;
Muntean, Cristina Hava .
IEEE TRANSACTIONS ON BROADCASTING, 2012, 58 (03) :480-492
[9]   Cost-Oriented Adaptive Multimedia Delivery [J].
Molnar, Andreea ;
Muntean, Cristina Hava .
IEEE TRANSACTIONS ON BROADCASTING, 2013, 59 (03) :484-499
[10]  
Muntean G.-M., 2005, IEEE Trans. Netw. Service Manag., V2, P19