방송공학회논문지 (Journal of Broadcast Engineering)

  • 제19권2호
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  • Pages.257-267
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  • 2014
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  • 1226-7953(pISSN)
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  • 2287-9137(eISSN)
한국방송∙미디어공학회 (The Korean Institute of Broadcast and Media Engineers)
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분산 압축 비디오 센싱을 위한 스킵모드 부호화

A Skip-mode Coding for Distributed Compressive Video Sensing

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  • 박영현 (성균관대학교 정보통신대학) ;
  • 전병우 (성균관대학교 정보통신대학)
  • Nguyen, Quang Hong (Sungkyunkwan University, College of Information & Communication Engineering) ;
  • Dinh, Khanh Quoc (Sungkyunkwan University, College of Information & Communication Engineering) ;
  • Nguyen, Viet Anh (Sungkyunkwan University, College of Information & Communication Engineering) ;
  • Trinh, Chien Van (Sungkyunkwan University, College of Information & Communication Engineering) ;
  • Park, Younghyeon (Sungkyunkwan University, College of Information & Communication Engineering) ;
  • Jeon, Byeungwoo (Sungkyunkwan University, College of Information & Communication Engineering)
  • 투고 : 2014.02.27
  • 심사 : 2014.03.12
  • 발행 : 2014.03.30
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초록

분산 압축 비디오 센싱 (DCVS) 기술은 압축센싱 및 분산 비디오 부호화 기술의 결합을 통해 저 비용의 샘플링을 실현하는 새로운 패러다임이다. 본 논문에서는 프레임 간 높은 시간 상관성을 활용한 DCVS에서의 스킵모드 부호화 방법을 제안한다. 제안하는 방법은 일정조건을 만족하는 비 키-프레임에 대한 측정값을 복호화기에 전송하지 않아도 시간적 보간법을 통해 해당 비 키-프레임의 복원이 가능하도록 하여 율-왜곡 측면에서 좋은 압축 성능을 보장한다. 이와 더불어, 더 나은 시간적 보간을 위하여 계층적 구조를 사용하는 방법을 제안한다. 실험 결과, 제안하는 스킵모드 부호화 방법은 약간의 PSNR 감소에 비해 매우 높은 측정율 절약이 되는 것을 확인하였다. 또한, 제안하는 방법을 높은 시간 연관성을 갖는 비디오 영상에 적용할 경우, 복호화기의 연산 복잡도가 평균 43.75% 감소하는 것을 확인하였다.

Distributed compressive video sensing (DCVS) is a low cost sampling paradigm for video coding based on the compressive sensing and the distributed video coding. In this paper, we propose using a skip-mode coding in DCVS under the assumption that in case of high temporal correlation, temporal interpolation can guarantee sufficiently good quality of nonkey frame, therefore no need to transmit measurement data in such a nonkey frame. Furthermore, we extend it to use a hierarchical structure for better temporal interpolation. Simulation results show that the proposed skip-mode coding can save the average subrate of whole video sequence while the PSNR is reduced only slightly. In addition, by using the proposed scheme, the computational complexity is also highly decreased at decoder on average by 43.75% for video sequences that have strong temporal correlation.

키워드

참고문헌

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피인용 문헌

  1. Rate Allocation for Block-based Compressive Sensing vol.20, pp.3, 2015, https://doi.org/10.5909/JBE.2015.20.3.398