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Real-time Mobile Cloud Computing : A Case Study in Face Recognition
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AI
DOI：10.1109/WAINA.2014.22.png)
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Abstract
En 中文
Face recognition has received attention from research communities recently. Law enforcement agencies are using facial recognition software as a crime-fighting tool. The quick increasing of Mobile Devices usage and the explosive growth of the mobile applications Mobile face recognition is one of important application. In the same time the mobile devices are facing many challenges in their resources as low computing power, battery life, limited bandwidth and storage. Mobile Cloud Computing (MCC) has been introduced to be a potential technology for mobile services and to solve the mobile resources problem by moving the processing and the storage of data out from mobile devices to the cloud. MCC offers abundant computing power that can be tapped easily. This paper gives explanation of MCC definition, Building private cloud with Open Source cloud OS, Face recognition as MCC Application with presenting the face detection and face recognition algorithms. Our results demonstrate that the proposed architecture is promising for real-time Mobile cloud computing by reducing the overall processing time.
Keywords:
Mobile Cloud Computing
Cloud Computing
IAAS
PAAS
SAAS
Open Source Cloud OS
Openstack
Openshift
Client Server communication
Web Services
Image processing
face Detection
face Recognition
Journal
I
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0
Papers:
4
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