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Journal Article Reducing Channel Capacity for Scalable Video Coding in a Distributed Network
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Authors
Hyunpil Kim, Sukhan Lee, Junghee Lee, Yongsurk Lee
Issue Date
2010-12
Citation
ETRI Journal, v.32, no.6, pp.863-870
ISSN
1225-6463
Publisher
한국전자통신연구원 (ETRI)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.4218/etrij.10.0110.0033
Abstract
In recent years, the development of multimedia devices has meant that a wider multimedia streaming service can be supported, and there are now many ways in which TV channels can communicate with different terminals. Generally, scalable video streaming is known to provide more efficient channel capacity than simulcast video streaming. Simulcast video streaming requires a large network bandwidth for all resolutions, but scalable video streaming needs only one flow for all resolutions. In previous research, scalable video streaming has been compared with simulcast video streaming for network channel capacity, in two user simulation environments. The simulation results show that the channel capacity of SVC is 16% to 20% smaller than AVC, but scalable video streaming is not efficient because of the limit of the present network framework. In this paper, we propose a new network framework with an SVC extractor. The proposed network framework shows a channel capacity 50% (maximum) lower than that found in previous research studies. © 2010 ETRI.
KSP Keywords
Channel capacity, Large network, Multimedia streaming, Network Channel, Network bandwidth, Network framework, Scalable Video Coding, Scalable video streaming, Streaming service, User simulation, distributed network