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

Authors: Amit Pande, Amit Verma, Ankush Mittal, Ashish Agrawal

Addresses: Electrical and Computer Engineering, Iowa State University, Ames 50011, IA, USA. ' Symantec Corp., Pune, India. ' Department of Computer Science and Engg., College of Engineering Roorkee, India. ' Mentor Graphics (R&D) India, Noida 201301, India

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.

Keywords: wavelet transforms; bandwidth allocation; e-learning videos; electronic learning; online learning; video coding; visual communications; video delivery; content-based compression; multimedia QoS; quality of service; network resource allocation; scalable bitstream.

DOI: 10.1504/IJSISE.2009.033724

International Journal of Signal and Imaging Systems Engineering, 2009 Vol.2 No.3, pp.117 - 125

Received: 08 Oct 2008
Accepted: 29 Jun 2009
Published online: 29 Jun 2010 *

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