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확장 가능한 영상 부호화에서 전 확장성을 고려한 품질 메트릭

Quality Metric with Full Scalability on Scalable Video Coding

  • 서동준 (한국정보통신대학교 공학부) ;
  • 김천석 (한국정보통신대학교 공학부) ;
  • 배태면 (한국정보통신대학교 공학부) ;
  • 노용만 (한국정보통신대학교 공학부)
  • Suh, Dong-Jun (School of engineering, Information and Communication University) ;
  • Kim, Cheon-Seog (School of engineering, Information and Communication University) ;
  • Bae, Tae-Meon (School of engineering, Information and Communication University) ;
  • Ro, Yong-Man (School of engineering, Information and Communication University)
  • 발행 : 2007.03.29

초록

다양한 멀티미디어 영상 서비스 환경에 최적의 서비스 품질(Quality of Service, QoS)을 제공하는 것은 중요 이슈 중 하나이다. 이를 위해서 다양한 서비스 환경에 따라 쉽게 확장 가능한 영상 부호화 기술과 영상의 품질을 계량적으로 표현하는 기술이 필요하다. 본 논문에서는 확장 가능한 영상 부호화(Scalable Video Coding, SVC)에 기반한 영상에 대해 영상의 내용 특징 정보와 전 확장성, 즉 시간적, 공간적, 품질적 확장을 고려한 새로운 품질 메트릭을 제안한다. 실험 결과, 제안된 품질 메트릭은 측정된 주관적 점수와의 상관계수(correlation coefficient)가 평균 0.9이상으로 우수한 성능을 증명하였다. 본 논문에서 제안한 메트릭은 영상의 다양한 프레임 율, 화질, 공간 해상도, 그리고 모션 특성과 같은 부호화 조건에 따른 품질측정이 가능하여 최적의 부호화 조건을 결정할 수 있다.

Currently, the efficient adaptive video streaming services and coding techniques are required to ensure quality of service (QoS) in diverse multimedia environments. To maintain optimal video quality in these environments, it is required to support scalable video coding (SVC) technique and proper QoS metric methods. In this paper, we propose a new quality metric that takes in to the temporal, the SNR, the spatial scalability on SVC. Experimental results shows that proposed method has a higher correlation with the subjective quality. We expect that the proposed metric plays an important role in deciding the coding parameter to optimize the quality of the SVC based video.

키워드

참고문헌

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