Open Access
Network resource allocation of e-learning videos for scalable video delivery using content-based compression
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Symantec Corp., Pune, India.
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Department of Computer Science and Engg., College of Engineering Roorkee, India.
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Mentor Graphics (R&D) India, Noida 201301, India
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Publication type: Journal Article
Publication date: 2010-06-30
scimago Q3
SJR: 0.210
CiteScore: 2.7
Impact factor: —
ISSN: 17480698, 17480701
Electrical and Electronic Engineering
Control and Systems Engineering
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.
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GOST
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Pande A. et al. Network resource allocation of e-learning videos for scalable video delivery using content-based compression // International Journal of Signal and Imaging Systems Engineering. 2010. Vol. 2. No. 3. p. 117.
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Pande A., Verma A., Mittal A., Agrawal A. Network resource allocation of e-learning videos for scalable video delivery using content-based compression // International Journal of Signal and Imaging Systems Engineering. 2010. Vol. 2. No. 3. p. 117.
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RIS
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TY - JOUR
DO - 10.1504/ijsise.2009.033724
UR - https://doi.org/10.1504/ijsise.2009.033724
TI - Network resource allocation of e-learning videos for scalable video delivery using content-based compression
T2 - International Journal of Signal and Imaging Systems Engineering
AU - Pande, Amit
AU - Verma, Amit
AU - Mittal, Ankush
AU - Agrawal, Ashish
PY - 2010
DA - 2010/06/30
PB - Inderscience Publishers
SP - 117
IS - 3
VL - 2
SN - 1748-0698
SN - 1748-0701
ER -
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BibTex (up to 50 authors)
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@article{2010_Pande,
author = {Amit Pande and Amit Verma and Ankush Mittal and Ashish Agrawal},
title = {Network resource allocation of e-learning videos for scalable video delivery using content-based compression},
journal = {International Journal of Signal and Imaging Systems Engineering},
year = {2010},
volume = {2},
publisher = {Inderscience Publishers},
month = {jun},
url = {https://doi.org/10.1504/ijsise.2009.033724},
number = {3},
pages = {117},
doi = {10.1504/ijsise.2009.033724}
}
Cite this
MLA
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Pande, Amit, et al. “Network resource allocation of e-learning videos for scalable video delivery using content-based compression.” International Journal of Signal and Imaging Systems Engineering, vol. 2, no. 3, Jun. 2010, p. 117. https://doi.org/10.1504/ijsise.2009.033724.
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