Journal of Digital Contents Society (디지털콘텐츠학회 논문지)

Digital Contents Society (한국디지털콘텐츠학회)
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Adaptive Inter-layer Filter Selection Mechanism for Improved Scalable Extensions of High Efficiency Video Coding (SHVC)

스케일러블 HEVC 부호화 효율 개선을 위한 계층 간 적응적 필터 선택 알고리즘

  • Lee, Jong-Hyeok (Big data Utilization Research Center, Sookmyung Woman's University) ;
  • Kim, Byung-Gyu (Dept. of IT engineering, Sookmyung Woman's University)
  • 이종혁 (숙명여자대학교 빅데이터활용연구센터) ;
  • 김병규 (숙명여자대학교 IT공학과)
  • Received : 2016.12.21
  • Accepted : 2017.02.25
  • Published : 2017.02.28
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Abstract

Scalable extension of High Efficiency Video Coding (SHVC) standard uses the up-sampled residual data from the base layer to make a residual data in the enhancement layer. This paper describes an efficient algorithm for improving coding gain by using the filtered residual signal of base layer in the Scalable extension of High Efficiency Video Coding (SHVC). The proposed adaptive filter selection mechanism uses the smoothing and sharpening filters to enhance the quality of inter-layer prediction. Based on two filters and the existing up-sampling filter, a rate-distortion (RD)-cost fuction-based competitive scheme is proposed to get better quality of video. Experimental results showed that average BD-rate gains of 1.5%, 2.1%, and 1.7% for Y, U and V components, respectively, were achieved, compared with SHVC reference software 5.0, which is based on HEVC reference model (HM) 13.

스케일러블 HEVC에서 상위계층의 계층 간 예측에서 기본계층의 부호화 잔차 영상에 대한 업샘플링 된 결과를 참조하여 예측하게 된다. 본 논문에서는 고효율 영상 압축 기반 스케일러블 부호화 (Scalable Extension of High Efficiency Video Coding)에서 상위계층 잔차 데이터 예측에 대한 개선 기법을 제안한다. 제안하는 적응적 필터 선택 기법은 스무싱 필터와 샤프닝 필터를 사용함으로써 계층 간 예측 방법에서 효율을 향상시킨다. 기존의 업샘플링 필터와 두 개의 필터를 추가하여 율-왜곡 비용함수 기반의 경쟁기법을 통한 계층 간 예측 알고리즘을 SHVC 5.0에 구현함으로써 Y, U, V 컴포넌트에 대한 평균 1.5%, 2.1%, 1.7%의 BD-rate 향상을 보여준다.

Keywords

References

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