• DocumentCode
    3640781
  • Title

    Mobile cloud computing educational tool for image/video processing algorithms

  • Author

    Rony Ferzli;Ibrahim Khalife

  • Author_Institution
    Microsoft Corp., Unified Communications Group, Redmond, WA, USA
  • fYear
    2011
  • Firstpage
    529
  • Lastpage
    533
  • Abstract
    This paper shows the importance and benefit of coupling cloud computing with mobile especially due to power limitations that mobile devices exhibit. Moreover, the work done shows that mobile computing can be applied for educational purposes, where a tool for students termed Mobi4Ed is presented. This educational tool aims at exploiting the concept of cloud computing in the context of image and video processing, where students can assess several algorithms in real-time. Two possible system architectures are detailed, where one uses the cellular channel and the other uses the data channel. Consequently, one of the approaches is adopted and a detailed simulation is done where an Android client device is shown communicating with a server running openCV and using the Haar face-detection algorithm. The work assures the credibility of the adopted system architecture, in terms of deployment, and several future lines of work are proposed.
  • Keywords
    "Servers","Mobile communication","Mobile handsets","Cloud computing","Humanoid robots","Computer architecture","Androids"
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing Workshop and IEEE Signal Processing Education Workshop (DSP/SPE), 2011 IEEE
  • Print_ISBN
    978-1-61284-226-4
  • Type

    conf

  • DOI
    10.1109/DSP-SPE.2011.5739270
  • Filename
    5739270