Low-Latency Network-Adaptive Error Control for Interactive Streaming

被引:3
|
作者
Emara, Salma [2 ]
Fong, Silas L. [1 ]
Li, Baochun [2 ]
Khisti, Ashish [2 ]
Tan, Wai-Tian [3 ]
Zhu, Xiaoqing [4 ]
Apostolopoulos, John [3 ]
机构
[1] Qualcomm Flar Technol, Bridgewater Township, NJ 08807 USA
[2] Univ Toronto, Dept Elect & Comp Engn, Toronto, ON M5S 3G4, Canada
[3] Cisco Syst, San Jose, CA 95134 USA
[4] Netflix Inc, 100 Winchester Cir, Los Gatos, CA 95032 USA
基金
加拿大自然科学与工程研究理事会;
关键词
Delays; Forward error correction; Streaming media; Decoding; Parity check codes; Internet; WebRTC; streaming codes; teleconferencing; CODES; VIDEO;
D O I
10.1109/TMM.2021.3070134
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We introduce a novel network-adaptive algorithm that is suitable for alleviating network packet losses for low-latency interactive communications between a source and a destination. Our network-adaptive algorithm estimates in real-time the best parameters of a recently proposed streaming code that uses forward error correction (FEC) to correct both arbitrary and burst losses, which cause a crackling noise and undesirable jitters, respectively in audio. In particular, the destination estimates appropriate coding parameters based on its observed packet loss pattern and sends them back to the source for updating the underlying code. Besides, a new explicit construction of practical low-latency streaming codes that achieve the optimal tradeoff between the capability of correcting arbitrary losses and the capability of correcting burst losses is used. Simulation evaluations based on statistical losses and real-world packet loss traces reveal the following: (i) Our proposed network-adaptive algorithm combined with our optimal streaming codes can achieve significantly higher performance compared to uncoded and non-adaptive FEC schemes over UDP (User Datagram Protocol); (ii) Our explicit streaming codes can significantly outperform traditional MDS (maximum-distance separable) streaming schemes when they are used along with our network-adaptive algorithm. In addition, we study different factors that can affect the performance of our network-adaptive algorithm.
引用
收藏
页码:1691 / 1706
页数:16
相关论文
共 50 条
  • [41] Adaptive Network-Device Cooperative Diversity for Ultra-Reliable and Low-Latency Wireless Control
    Khosravirad, Saeed R.
    Viswanathan, Harish
    2019 IEEE 89TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2019-SPRING), 2019,
  • [42] Content-Aware Playback Speed Control for Low-Latency Live Streaming of Sports
    Aladag, Omer F.
    Ugur, Deniz
    Akcay, Mehmet N.
    Begen, Ali C.
    MMSYS '21: PROCEEDINGS OF THE 2021 MULTIMEDIA SYSTEMS CONFERENCE, 2021, : 344 - 349
  • [43] Low-Latency Video Streaming With Congestion Control in Mobile Ad-Hoc Networks
    Greco, Claudio
    Cagnazzo, Marco
    Pesquet-Popescu, Beatrice
    IEEE TRANSACTIONS ON MULTIMEDIA, 2012, 14 (04) : 1337 - 1350
  • [44] Low-Latency Oriented Resource Allocation for MEC-Assisted Adaptive Bitrate Video Streaming
    Liu, Wenjie
    Ding, Hui
    Zhang, Haixia
    Yuan, Dongfeng
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 72 (11) : 14356 - 14363
  • [45] Low-Latency Live Video Streaming over a Low-Earth-Orbit Satellite Network with DASH
    Zhao, Jinwei
    Pan, Jianping
    PROCEEDINGS OF THE 2024 15TH ACM MULTIMEDIA SYSTEMS CONFERENCE 2024, MMSYS 2024, 2024, : 109 - 120
  • [46] A NOVEL NETWORK-ADAPTIVE BUFFERING MECHANISM FOR VIDEO STREAMING BASED ON FEEDBACK
    Deng, Yang
    Wang, Wendong
    Chen, Qi
    Ding, Yu
    Gong, Xiangyang
    Que, Xirong
    Wang, Kongqiao
    Ma, Jian
    CIICT 2008: PROCEEDINGS OF CHINA-IRELAND INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATIONS TECHNOLOGIES 2008, 2008, : 775 - +
  • [47] A Low-Latency Transmission Scheme for Interactive Screen Sharing
    Pan, Zhaotai
    Shen, Huifeng
    Lu, Yan
    Li, Shipeng
    2012 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS 2012), 2012, : 1107 - 1110
  • [48] LLAMAS: Low-Latency Adaptive Optics at LLNL
    Ammons, S. Mark
    Bauman, Brian
    Burton, Greg
    Gates, Chris
    Dawson, Jay
    Hackel, Brian
    Homoelle, Doug
    Kim, Michael
    Larkin, Glenn
    Palmer, David W.
    Panas, Robert
    Pax, Paul
    Poyneer, Lisa A.
    ADAPTIVE OPTICS SYSTEMS VI, 2018, 10703
  • [49] Low-latency control structures with slack
    Bystrov, A
    Sokolov, D
    Yakovlev, A
    NINTH INTERNATIONAL SYMPOSIUM ON ASYNCHRONOUS CIRCUITS AND SYSTEMS, PROCEEDINGS, 2003, : 164 - 173
  • [50] Optimal Strategies for Live Video Streaming in the Low-latency Regime
    Sun, Liyang
    Zong, Tongyu
    Liu, Yong
    Wang, Yao
    Zhu, Haihong
    2019 IEEE 27TH INTERNATIONAL CONFERENCE ON NETWORK PROTOCOLS (IEEE ICNP), 2019,