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Reducing Channel Capacity for Scalable Video Coding in a Distributed Network
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  • Reducing Channel Capacity for Scalable Video Coding in a Distributed Network
  • Reducing Channel Capacity for Scalable Video Coding in a Distributed Network
저자명
Kim. Hyun-Pil,Lee. Suk-Han,Lee. Jung-Hee,Lee. Yong-Surk
간행물명
ETRI journal
권/호정보
2010년|32권 6호|pp.863-870 (8 pages)
발행정보
한국전자통신연구원
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

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.