• DocumentCode
    1869014
  • Title

    Web based teleoperation architecture and H.264 video encoder

  • Author

    Khan, Mahrukh ; Gu, Jhen-Fong

  • Author_Institution
    Dalhousie Univ., Halifax, NS, Canada
  • fYear
    2012
  • fDate
    April 29 2012-May 2 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Teleoperations is an important field in robotics. From surgical robots to space robots, it has found applications in different areas. This paper discusses the development of master side user interface and video encoder for video compression and transmission. It is a single robot, single user but multiple collaborator system. The master interface is developed using Adobe Flash and is cross operating system compatible. For video broadcasting purposes, a H.264/AVC encoder is developed using Intel IPP which uses latest multicore capabilities of new processors and can encode and transmit high definition videos over internet in real time. Encoder is designed to be used for video with slow moving objects in it. Use of Intel IPP provides better compression ratio, shorter encoding time and improved PSNR than existing video encoders. The results of our compression algorithm have been verified using PSNR analysis and human perception survey.
  • Keywords
    Internet; control engineering computing; high definition video; operating systems (computers); telerobotics; user interfaces; video coding; Adobe Flash; H.264 video encoder; H.264/AVC encoder; Intel IPP; PSNR analysis; Web based teleoperation architecture; compression algorithm; compression ratio; cross operating system compatible; encoding time; high definition videos over internet; human perception survey; master interface; master side user interface; multicore capability; multiple collaborator system; robotics; slow moving objects; space robots; surgical robots; teleoperations; video broadcasting; video compression; video encoders; video transmission; Computers; Encoding; Internet; PSNR; Robots; Streaming media; Video coding; H.264/AVC; Teleoperations; peak signal-to-noise ratio; video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
  • Conference_Location
    Montreal, QC
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4673-1431-2
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2012.6334958
  • Filename
    6334958