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
  • [31] Network-adaptive QoS control for relative service differentiation-aware video streaming
    Hwang, G
    Shin, J
    Kim, JW
    MANAGEMENT OF MULTIMEDIA NETWORKS AND SERVICES, PROCEEDINGS, 2005, 3754 : 326 - 337
  • [32] Adaptive Chunk Grouping Method for Low-Latency HTTP-Based Live Streaming
    Hattori, Daichi
    Bandai, Masaki
    2023 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS, ICCE, 2023,
  • [33] Low-Latency Interactive Sensing for Machine Vision
    Park, Paul K. J.
    Kim, Jun-Seok
    Shin, Chang-Woo
    Lee, Hyunku
    Liu, Weiheng
    Wang, Qiang
    Roh, Yohan
    Kim, Jeonghan
    Ater, Yotam
    Soloveichik, Evgeny
    Ryu, Hyunsurk Eric
    2019 IEEE INTERNATIONAL ELECTRON DEVICES MEETING (IEDM), 2019,
  • [34] Simple Streaming Codes for Reliable, Low-Latency Communication
    Krishnan, M. Krishnan
    Ramkumar, Vinayak
    Vajha, Myna
    Kumar, P. Vijay
    IEEE COMMUNICATIONS LETTERS, 2020, 24 (02) : 249 - 253
  • [35] Towards Optimal Low-Latency Live Video Streaming
    Sun, Liyang
    Zong, Tongyu
    Wang, Siquan
    Liu, Yong
    Wang, Yao
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2021, 29 (05) : 2327 - 2338
  • [36] Design and Implementation of a Network-Adaptive Mechanism for HTTP Video Streaming
    Kim, Yo-Han
    Shin, Jitae
    Park, Jiho
    ETRI JOURNAL, 2013, 35 (01) : 27 - 34
  • [37] Attentive Recurrent Network for Low-Latency Active Noise Control
    Zhang, Hao
    Pandey, Ashutosh
    Wang, DeLiang
    INTERSPEECH 2022, 2022, : 956 - 960
  • [38] LIVENET: A Low-Latency Video Transport Network for Large-Scale Live Streaming
    Li, Jinyang
    Li, Zhenyu
    Lu, Ri
    Xiao, Kai
    Li, Songlin
    Chen, Jufeng
    Yang, Jingyu
    Zong, Chunli
    Chen, Aiyun
    Wu, Qinghua
    Sun, Chen
    Tyson, Gareth
    Liu, Hongqiang Harry
    SIGCOMM '22: PROCEEDINGS OF THE 2022 ACM SIGCOMM 2022 CONFERENCE, 2022, : 812 - 825
  • [39] Cross-layer Network Bandwidth Estimation for Low-latency Live ABR Streaming
    Shende, Chinmaey
    Park, Cheonjin
    Sen, Subhabrata
    Wang, Bing
    PROCEEDINGS OF THE 2023 PROCEEDINGS OF THE 14TH ACM MULTIMEDIA SYSTEMS CONFERENCE, MMSYS 2023, 2023, : 183 - 193
  • [40] Low-latency error control of H.264 using SP-frames and streaming agent over wireless networks
    Cheung, Gene
    Tan, Wai-tian
    2007 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-14, 2007, : 1790 - +