2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDCOM-3.9
Paper Title A FUZZY-BASED ADAPTATION CONTROLLER FOR LOW LATENCY LIVE VIDEO STREAMING
Authors Yunlong Li, Peking University, China; Xinfeng Zhang, University of Chinese Academy of Sciences, China; Shanshe Wang, Siwei Ma, Peking Universiy, China
SessionCOM-3: Image and Video Communications
LocationArea H
Session Time:Tuesday, 21 September, 13:30 - 15:00
Presentation Time:Tuesday, 21 September, 13:30 - 15:00
Presentation Poster
Topic Image and Video Communications: Image & video multimedia communications
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Abstract HTTP adaptive streaming with chunked transfer encoding can provide low latency live video streaming experience. However, providing high and smooth quality video streaming experience under low latency conditions poses a great challenge for Adaptive BitRate (ABR) algorithm design due to the shorter time to react to bandwidth fluctuations. To address the problem, we design a Fuzzy logic controller based ABR for low latency live video streaming with Chunked Transfer Encoding (FCTE). We take player buffer size, throughput mean, and throughput standard deviation as inputs to make bitrate decisions. By making full use of network information and dealing with uncertainties using fuzzy language, FCTE can make quick and robust bitrate decisions in the complicated network environment. We evaluate FCTE over five network scenarios released by Twitch. FCTE achieves average QoE improvement by 129%, 338%, and 127% compared with three representative algorithms: L2A, LoL, and Stallion, respectively