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Network resource allocation of e-learning videos for scalable video delivery using content-based compression

Network resource allocation of e-learning videos for scalable video delivery using content-based... Multimedia QoS is a big concern, especially for the scarce resource networks. This paper deals with the issue of intelligent transmission of important segments of the video sequence over the network. An estimate of the available network bandwidth is obtained, which is then distributed optimally between the different frame constituents based on their relative importance and motion by the bandwidth allocation module. Colour Embedded Zerotree Wavelet (CEZW) coding is used to obtain a scalable bitstream that provides dynamic response to changing network conditions. This scheme is robust and operational for all low motion videos with identifiable VOs. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Signal and Imaging Systems Engineering Inderscience Publishers

Network resource allocation of e-learning videos for scalable video delivery using content-based compression

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1748-0698
eISSN
1748-0701
DOI
10.1504/IJSISE.2009.033724
Publisher site
See Article on Publisher Site

Abstract

Multimedia QoS is a big concern, especially for the scarce resource networks. This paper deals with the issue of intelligent transmission of important segments of the video sequence over the network. An estimate of the available network bandwidth is obtained, which is then distributed optimally between the different frame constituents based on their relative importance and motion by the bandwidth allocation module. Colour Embedded Zerotree Wavelet (CEZW) coding is used to obtain a scalable bitstream that provides dynamic response to changing network conditions. This scheme is robust and operational for all low motion videos with identifiable VOs.

Journal

International Journal of Signal and Imaging Systems Engineering – Inderscience Publishers

Published: Jan 1, 2009

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