• DocumentCode
    3707510
  • Title

    Challenges in cloud based ingest and encoding for high quality streaming media

  • Author

    Anne Aaron;Zhi Li;Megha Manohara;Joe Yuchieh Lin;Eddy Chi-Hao Wu;C.-C Jay Kuo

  • Author_Institution
    Netflix Inc.,100 Winchester Circle Los Gatos, CA, United States
  • fYear
    2015
  • Firstpage
    1732
  • Lastpage
    1736
  • Abstract
    The Netflix ingest and encoding pipeline is a cloud-based platform that generates video encodes for the Netflix streaming service. Due to the large throughput of the system, automated video quality assessment of the source videos and the generated encodes is essential in ensuring the quality of experience of viewers. This paper discusses the motivations for integrating video quality assessment in the production pipeline, outlines currently deployed solutions and presents the technical challenges in improving the system.
  • Keywords
    "Streaming media","Encoding","Pipelines","Inspection","Quality assessment","Video recording","Bit rate"
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICIP.2015.7351097
  • Filename
    7351097