Network Aware Efficient Resource Allocation For Mobile-Learning Video Systems

Network Aware Efficient Resource Allocation For Mobile-Learning Video Systems. Pande, A, Verma, A, Agarwal, A, & Mittal, A In Proceedings of 6th international conference on mobile Learning (mlearn 2007), pages 210-217, 2007. University of Melbourne. ISBN: 978 0 7340 3893 7
abstract bibtex

A serious bottleneck in mobile learning is the non-availability and variations of sufficient bandwidth required for multimedia applications. Mobile systems have currently been researched for learning applications. While much research has been done on multimedia compression and network resource optimization, multimedia delivery remains a big concern. In this paper we deal with the issue of intelligent transmission of video sequence over the mobile network. We also ensure network adaptive content delivery to the user making our system attractive for real time applications. We incorporate the knowledge of the network conditions to determine how various parts of the video frames are encoded. An estimate of the available network bandwidth is then obtained which is distributed optimally between the different frame constituents based on their relative importance and motion by the bandwidth allocation module. This approach helps to reach an efficient trade off between perceptual quality of the video and the available network bandwidth. While this scheme is robust and operational for all low motion videos with identifiable visual objects, we take the example of educational videos to demonstrate the proposed scheme. This approach promises great improvement in mobile learning experience of the users.

@inproceedings{ ref6,
  title = { Network Aware Efficient Resource Allocation For Mobile-Learning Video Systems  },
  year = {2007},
  author = {A Pande and A Verma and A Agarwal and A Mittal},
  booktitle = {Proceedings of  6th international conference on mobile Learning (mlearn 2007)},
  pages = {210-217},
  publisher = {University of Melbourne},
  abstract = {A serious bottleneck in mobile learning is the non-availability and variations of sufficient bandwidth
required for multimedia applications. Mobile systems have currently been researched for learning
applications. While much research has been done on multimedia compression and network resource
optimization, multimedia delivery remains a big concern. In this paper we deal with the issue of intelligent
transmission of video sequence over the mobile network. We also ensure network adaptive content
delivery to the user making our system attractive for real time applications. We incorporate the
knowledge of the network conditions to determine how various parts of the video frames are encoded.
An estimate of the available network bandwidth is then obtained which is distributed optimally between
the different frame constituents based on their relative importance and motion by the bandwidth
allocation module. This approach helps to reach an efficient trade off between perceptual quality of the
video and the available network bandwidth. While this scheme is robust and operational for all low
motion videos with identifiable visual objects, we take the example of educational videos to demonstrate
the proposed scheme. This approach promises great improvement in mobile learning experience of the
users.},
  note = {ISBN: 978 0 7340 3893 7},
  keywords = { MultimediaCodingandCommunications }
}

Downloads: 0

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