QoE in video streaming over wireless networks: perspectives and research challenges

被引:34
|
作者
Su, Guan-Ming [1 ]
Su, Xiao [2 ]
Bai, Yan [3 ]
Wang, Mea [4 ]
Vasilakos, Athanasios V. [5 ]
Wang, Haohong [6 ]
机构
[1] Dolby Labs, Sunnyvale, CA USA
[2] San Jose State Univ, Comp Engn, San Jose, CA 95192 USA
[3] Univ Washington Tacoma, Inst Technol, Tacoma, WA USA
[4] Univ Calgary, Dept Comp Sci, Calgary, AB, Canada
[5] Lulea Univ Technol, Dept Comp Sci Elect & Space Engn, S-97187 Lulea, Sweden
[6] TCL Res Amer, San Jose, CA USA
关键词
Quality of experience; Video streaming; Wireless networks; UNEQUAL ERROR PROTECTION; BIT-RATE; QUALITY ASSESSMENT; EXPERIENCE; ADAPTATION; MODEL; TRANSMISSION; QUANTIZATION; MANAGEMENT; ALLOCATION;
D O I
10.1007/s11276-015-1028-7
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The deployment of 3G/LTE networks and advancements in smart mobile devices had led to high demand for multimedia streaming over wireless network. The rapid increasing demand for multimedia content poses challenges for all parties in a multimedia streaming system, namely, content providers, wireless network service providers, and smart device makers. Content providers and mobile network service providers are both striving to improve their streaming services while utilizing advancing technologies. Smart device makers endeavor to improve processing power and displays for better viewing experience. Ultimately, the common goal shared by content providers, network service providers, and smart device manufactures is to improve the QoE for users. QoE is both an objective and a subjective metric measuring the streaming quality experience by end users. It may be measured by streaming bitrate, playback smoothness, video quality metrics like Peak to Signal Noise Ratio, and other user satisfaction factors. There have been efforts made to improve the streaming experiences in all these aspects. In this paper, we conducted a survey on existing literatures on QoE of video streaming to gain a deeper and more complete understanding of QoE quality metrics. The goal is to inspire new research directions in defining better QoE and improving QoE in existing and new streaming services such as adaptive streaming and 3D video streaming.
引用
收藏
页码:1571 / 1593
页数:23
相关论文
共 50 条
  • [1] QoE in video streaming over wireless networks: perspectives and research challenges
    Guan-Ming Su
    Xiao Su
    Yan Bai
    Mea Wang
    Athanasios V. Vasilakos
    Haohong Wang
    [J]. Wireless Networks, 2016, 22 : 1571 - 1593
  • [2] Analysis of QoE for Adaptive Video Streaming over Wireless Networks
    Poojary, Sudheer
    El-Azouzi, Rachid
    Altman, Eitan
    Sunny, Albert
    Triki, Imen
    Haddad, Majed
    Jimenez, Tania
    Valentin, Stefan
    Tsilimantos, Dimitrios
    [J]. 2018 16TH INTERNATIONAL SYMPOSIUM ON MODELING AND OPTIMIZATION IN MOBILE, AD HOC, AND WIRELESS NETWORKS (WIOPT), 2018,
  • [3] Adaptive Video Streaming Algorithm Based on QoE over Wireless Networks
    Zhang, Guobo
    Zhang, Xuan
    Li, Chongrong
    Han, Guangxing
    [J]. 2015 2ND INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND SECURITY (ICISS), 2015, : 267 - 270
  • [4] An automated model for the assessment of QoE of adaptive video streaming over wireless networks
    Miran Taha
    Aree Ali
    Jaime Lloret
    Paulo R. L. Gondim
    Alejandro Canovas
    [J]. Multimedia Tools and Applications, 2021, 80 : 26833 - 26854
  • [5] An automated model for the assessment of QoE of adaptive video streaming over wireless networks
    Taha, Miran
    Ali, Aree
    Lloret, Jaime
    Gondim, Paulo R. L.
    Canovas, Alejandro
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 80 (17) : 26833 - 26854
  • [6] Analysis of QoE for Adaptive Video Streaming over Wireless Networks with User Abandonment Behavior
    El-Azouzi, Rachid
    Acharya, Krishna V.
    Poojary, Sudheer
    Sunny, Albert
    Haddad, Majed
    Altman, Eitan
    Tsilimantos, Dimitrios
    Valentin, Stefan
    [J]. 2019 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2019,
  • [7] QFlow: A Reinforcement Learning Approach to High QoE Video Streaming over Wireless Networks
    Bhattacharyya, Rajarshi
    Bura, Archana
    Rengarajan, Desik
    Rumuly, Mason
    Shakkottai, Srinivas
    Kalathil, Dileep
    Mok, Ricky K. P.
    Dhamdhere, Amogh
    [J]. PROCEEDINGS OF THE 2019 THE TWENTIETH ACM INTERNATIONAL SYMPOSIUM ON MOBILE AD HOC NETWORKING AND COMPUTING (MOBIHOC '19), 2019, : 251 - 260
  • [8] A QoE adaptive management system for high definition video streaming over wireless networks
    Taha, Miran
    Canovas, Alejandro
    Lloret, Jaime
    Ali, Aree
    [J]. TELECOMMUNICATION SYSTEMS, 2021, 77 (01) : 63 - 81
  • [9] A QoE adaptive management system for high definition video streaming over wireless networks
    Miran Taha
    Alejandro Canovas
    Jaime Lloret
    Aree Ali
    [J]. Telecommunication Systems, 2021, 77 : 63 - 81
  • [10] A Unified QoE Prediction Framework for HEVC Encoded Video Streaming over Wireless Networks
    Cheng, Zhengxue
    Ding, Lianghui
    Huang, Wei
    Yang, Feng
    Qian, Liang
    [J]. 2017 IEEE INTERNATIONAL SYMPOSIUM ON BROADBAND MULTIMEDIA SYSTEMS AND BROADCASTING (BMSB), 2017, : 263 - 268