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Intelligent Scaleable Contest Platform
The proposed research is to investigate and prototype an intelligent architecture for the MemeLabs contest platform that will support advanced features such as multi-layer access control, scaleable design, and to explore innovative mechanisms such as generation and embedding a watermark in shared media of both photo and video. The project is important in the company’s development of an innovative new intelligent contest platform to increase its competitive ability in the global marketplace.
Faculty Supervisor:
Gail Murphy
Student:
Partner:
Memelabs
Discipline:
Computer science
Sector:
Information and Communications Technology
University:
The University of British Columbia
Program:
Accelerate
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