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User-Driven Multimedia Adaptation Framework for Context-aware Learning Content Service

Atchara Rueangprathum, Somchai Limsiroratana, and Suntorn Witosurapot
Department of Computer Engineering, Faculty of Engineering, Prince of Songkla University, Songkhla, Thailand
Abstract—Typical learning repository server may face the problems of incompatibility or accessibility when its serving media contents are requested in variously adaptive forms by heterogeneous devices or from different usage contexts. To mitigate these problems, a service broker is considered necessary as it will work cooperatively with the repository server so that the required service of responsive multimedia content provision can be enabled. In this paper, we propose a cooperative framework of adaptive multimedia learning service, where the cognitive engine on the user’s device will select the audio/video features that are suited to the need via the AHP method so that the complex of content adaptation mechanism on the broker platform can be lessen. Our proposed framework is then notably different from many previous works, but is still practical for implementation due to the availability of computational resources and relevant performances in smartphones and computers at present.

Index Terms—cognitive agent, AHP, multimedia adaptation, context-awareness, learning repository

Cite: Atchara Rueangprathum, Somchai Limsiroratana, and Suntorn Witosurapot, "User-Driven Multimedia Adaptation Framework for Context-aware Learning Content Service," Vol. 7, No. 3, pp. 182-185, August, 2016. doi: 10.12720/jait.7.3.182-185
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