Power-efficient streaming for mobile terminals
NOSSDAV '05 Proceedings of the international workshop on Network and operating systems support for digital audio and video
Applying Content Adaptation to Mobile Learning
ICICIC '07 Proceedings of the Second International Conference on Innovative Computing, Informatio and Control
Adaptive multimedia content delivery for context-aware u-learning
International Journal of Mobile Learning and Organisation
A study on the use of mobile devices for distance learning
ICHL'12 Proceedings of the 5th international conference on Hybrid Learning
Content-Aware Power Saving Multimedia Adaptation for Mobile Learning
NGMAST '13 Proceedings of the 2013 Seventh International Conference on Next Generation Mobile Apps, Services and Technologies
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As a result of tremendous enhancements in the capabilities of mobile devices and availability of higher data rate mobile internet, the use of online multimedia learning resources on mobile devices is increasingly becoming popular. Limited Battery Power of mobile devices, however, is still one big challenge in Mobile Learning. High Quality multimedia learning resources are power hungry and if used on mobile devices drain battery power rapidly limiting learning opportunities on the move. Lack of significant improvements in battery capacities has resulted in significant interest in battery power saving techniques. Existing power-saving streaming multimedia adaptation techniques tend to extend battery life by reducing quality of multimedia making them susceptible to information loss. This loss may affect the learning content efficacy and jeopardizes the learning process. To the best of our knowledge, no previous work has considered the learning content efficacy in multimedia streaming adaptation mechanism. In this paper, we present MoBELearn system, which is a prototype implementation of our proposed Content Aware Power Saving Educational Multimedia Adaptation (CAPS-EMA) approach. We demonstrate battery efficiency in educational multimedia streaming while keeping the adapted resource suitable for learning. We also describe our semantic metamodel for educational multimedia resource that support our energy efficient adaptation technique.