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
Link To Document