Multimedia Applications in Education

Smart Technologies and Innovation for a Sustainable Future - Advances in Science, Technology & Innovation ◽

10.1007/978-3-030-01659-3_30 ◽

2019 ◽

pp. 263-271 ◽

Cited By ~ 3

Author(s):

Smilen Antonov Savov ◽

Rumiana Antonova ◽

Kamen Spassov

Keyword(s):

Multimedia Applications

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Entropy Decoding Processor for Modern Multimedia Applications

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e92.a.3248 ◽

2009 ◽

Vol E92-A (12) ◽

pp. 3248-3257

Author(s):

Sumek WISAYATAKSIN ◽

Dongju LI ◽

Tsuyoshi ISSHIKI ◽

Hiroaki KUNIEDA

Keyword(s):

Multimedia Applications

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AgentJ: Enabling Java NS-2 Simulations for Large Scale Distributed Multimedia Applications

10.21236/ada463096 ◽

2006 ◽

Cited By ~ 3

Author(s):

Ian Taylor ◽

Brian Adamson ◽

Ian Downard ◽

Joe Macker

Keyword(s):

Large Scale ◽

Multimedia Applications ◽

Distributed Multimedia

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mMedia: An Efficient Transmission Policy for Multimedia Applications using Mobile Cloud Computing

International Journal of Sensors Wireless Communications and Control ◽

10.2174/2210327908666180727130121 ◽

2019 ◽

Vol 9 (1) ◽

pp. 32-42 ◽

Cited By ~ 1

Author(s):

Rajesh Kumar Verma ◽

Chhabi Rani Panigrahi ◽

Bibudhendu Pati ◽

Joy Lal Sarkar

Keyword(s):

Cloud Computing ◽

Mobile Cloud Computing ◽

Optimization Technique ◽

Multimedia Applications ◽

Mobile Cloud ◽

The People ◽

Rich Media ◽

Time Average ◽

Audio Video ◽

Efficient Transmission

Background & Objective: Multimedia aggregates various types of media such as audio, video, images, animations, etc., to form a rich media content which produces an everlasting effect in the minds of the people. Methods: In order to process multimedia applications using mobile devices, we encounter a big challenge as these devices have limited resources and power. To address these limitations, in this work, we have proposed an efficient approach named as mMedia, wherein multimedia applications will utilize the multi cloud environment using Mobile Cloud Computing (MCC), for faster processing. The proposed approach selects the best available network. The authors have also considered using the Lyapunov optimization technique for efficient transmission between the mobile device and the cloud. Results: The simulation results indicate that mMedia can be useful for various multimedia applications by considering the energy delay tradeoff decision. Conclusion: The results have been compared alongside the base algorithm SALSA on the basis of different parameters like time average queue backlog, delay and time average utility and indicate that the mMedia outperforms in all the aspects.

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