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Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Reducing Channel Capacity for Scalable Video Coding in a Distributed Network

  • Kim, Hyun-Pil (School of Electrical & Electronic Engineering, Yonsei University) ;
  • Lee, Suk-Han (IMS Security Solution Team, Samsung Techwin) ;
  • Lee, Jung-Hee (Internet Research Laboratory, ETRI) ;
  • Lee, Yong-Surk (School of Electrical & Electronic Engineering, Yonsei University)
  • Received : 2010.01.14
  • Accepted : 2010.09.14
  • Published : 2010.12.31
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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.

Keywords

References

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