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A study on performance evaluation of DVCs with different coding method and feasibility of spatial scalable DVC

분산 동영상 코딩의 코딩 방식에 따른 성능 평가와 공간 계층화 코더로서의 가능성에 대한 연구

  • Kim, Dae-Yeon (College of Electronics and Information, Kyung Hee University) ;
  • Park, Gwang-Hoon (College of Electronics and Information, Kyung Hee University) ;
  • Kim, Kyu-Heon (College of Electronics and Information, Kyung Hee University) ;
  • Suh, Doug-Young (College of Electronics and Information, Kyung Hee University)
  • 김대연 (경희대학교 전자정보대학) ;
  • 박광훈 (경희대학교 전자정보대학) ;
  • 김규헌 (경희대학교 전자정보대학) ;
  • 서덕영 (경희대학교 전자정보대학)
  • Published : 2007.11.30

Abstract

Distributed video coding is a new video coding paradigm based on Slepian-Wolf and Wyner-Ziv's information theory Distributed video coding whose decoder exploits side information transfers its computational burden from encoder to decoder, so that encoding with light computational power can be realized. RD performance is superior than that of standard video coding without motion compensation process but still has a gap with that of coding with motion compensation process. This parer introduces basic theory of distributed video coding and its structure and then shows RD performances of DVCs whose coding style is different from each other and of a DVC as a spatial scalable video coder.

분산 동영상 코딩 (Distributed video coding)은 Slepian과 Wolf 그리고 Wyner와 Ziv의 정보 이론에 기반을 둔 새로운 동영상 압축 패러다임이다. 수신측의 보조정보를 이용하는 손실 압축인 분산 동영상 코딩은 계산의 복잡도를 디코더쪽으로 옮김으로써 적은 연산량의 동영상 인코딩을 가능하게 한다. RD 성능은 기존의 인트라 프레임 코딩보다 뛰어나지만 움직임 보상 (motion-compensated) 기반 인터 프레임 코딩의 성능에는 미치지 못한다. 본 논문은 DV근의 기본 개념과 구조에 대하여 소개하고 실험을 통하여 코딩 방식에 따른 성능을 비교 분석하며 나아가 공간 계층화 코더로서의 DVC의 성능을 보인다.

Keywords

References

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