Journal of Broadcast Engineering (방송공학회논문지)

The Korean Institute of Broadcast and Media Engineers (한국방송∙미디어공학회)
권호 표지
DOI QR코드

DOI QR Code

PSNR Estimation of H.264/AVC Bitstream for Hierarchical- B Picture Structure

계층적 B-픽쳐 구조를 고려한 H.264/AVC 비트열의 PSNR 예측

  • Seo, Jung-Dong (Department of Electrical and Electronic Engineering, Yonsei Univ.) ;
  • Sohn, Kwang-Hoon (Department of Electrical and Electronic Engineering, Yonsei Univ.)
  • 서정동 (연세대학교 전기전자공학과) ;
  • 손광훈 (연세대학교 전기전자공학과)
  • Received : 2011.06.25
  • Accepted : 2011.11.08
  • Published : 2011.11.30
Download PDF
⟨ Previous Next ⟩

Abstract

This paper proposes a PSNR estimation algorithm of H.264/AVC bitstream for hierarchical B-picture structure. The proposed method consists of a modeling method for DCT coefficients for I-pictures and an error estimation method for blocks encoded by skip mode. The modeling method selects an appropriate model between Laplacian and Cauchy model, and the error of skip mode is estimated from MSE values of reference pictures. Experimental results show that the modeling method predicts more accurate PSNR values than Laplacian and Cauchy model and the error estimation method of skip mode enhances PSNR estimation of hierarchical B-picture structure.

부호화된 비트열의 PSNR 예측 알고리즘은 무 기준법에 속하는 화질 평가 방법으로 수신단에서 참조 영상 없이 수행할 수 있기 때문에 높은 효용성을 지닌다. 기존의 PSNR 예측 연구들은 주로 I-픽쳐나 일반적인 IBBP 예측 구조를 고려하여 이루어지는 반면에 본 논문에서는 계층적 B-픽쳐 구조를 고려한 PSNR 예측 기법을 제안한다. 제안된 알고리즘은 최하위 계층의 I-픽쳐를 위한 새로운 DCT 계수 모델링 방법과 상위 계층의 픽쳐들이 주로 선택되는 스킵 모드를 고려한 PSNR 예측 기법으로 구성되어 있다. 제안 알고리즘의 성능 평가를 위해 실험 영상을 H.264/AVC로 부호화 하고 생성된 비트열의 예측된 PSNR 값과 실제 PSNR 값을 비교하였다. 실험 결과를 통해 제안된 DCT 모델링 방법이 기존의 방법들에 비해 더 정확함을 확인하였으며 스킵 모드를 고려한 PSNR 예측 기법이 계층적 B-픽쳐 구조에 적합함을 확인하였다.

Keywords

References

  1. http://www.its.bldrdoc.gov/vqeg/
  2. B. Furht, O. Marques, Handbook of Video Databases: Design and Applications, CRC Press, 1041-1078, 2003
  3. Z. Wang, A. Bovik, Modern Image Quality Assessment, Morgan & Claypool Publishers, 2006
  4. ITU-T, Advanced video coding for generic audiovisual services, ITU-T Recommendataion, 2005
  5. D. S. Turaga, Y. Chen, J. Caviedes, No reference PSNR estimation for compressed pictures, Signal Process.: Image commun., 19, 2, 174-184, Feb., 2004
  6. A. Ichigaya, M. Kurozumi, N. Hara, Y. Nichida, E. Nakasu, A method of estimating Coding PSNR using quantized DCT coefficients, IEEE Trans. Circuits Syst. Video Technol., 16, 2, 251-259, Feb., 2006 https://doi.org/10.1109/TCSVT.2005.858745
  7. A. Eden, No-reference estimation of the coding PSNR for H.264-coded sequences, IEEE Trans. Consummer Electronics, 53, 2, 667-674, May, 2007 https://doi.org/10.1109/TCE.2007.381744
  8. S. shim, J, Moon, J. Han, PSNR estimation scheme using coefficient distribution of frequency domain in H.264 decoder, Electronics Letters, 44, 2, 108-110, Jan., 2008 https://doi.org/10.1049/el:20082512
  9. H. Schwarz, D. Marpe,T. Wiegand, Analysis of Hierarchical B Pictures and MCTF, IEEE International Conference on Multimedia and Expo, 2006, Toronto, 1929-1932, July, 2006
  10. http://www.vcodex.com/h264.html
  11. E. Lam, J. Goodman, A mathmetical analysis of the DCT coefficient distributions for images, IEEE Trans. Image Process., 9, 10, 1661-1666, Oct., 2000. https://doi.org/10.1109/83.869177
  12. P. Merkle, A. Smolic, K. Muller, T. Wiegand, Efficient Prediction Structures for Multiview Video Coding, IEEE Trans. Circuits Syst. Video Technol., 17, 11, 1461-1473, Fov., 2007 https://doi.org/10.1109/TCSVT.2007.903665
  13. G. Sullivan, J. Ohm, Recent developments in standardization of high efficiency video coding (HEVC), SPIE Applications of Digital Image, 7798, 30-37, Aug., 2010
  14. Y. Altunbasak, N. Kamaci, An analysis of the dct coefficient distributino with the H.264 video coder, IEEE International Conference on Acoustics, Speech, and Signal Processing 2004, vol.3, iii - 177-80, May 2004
  15. Y. Peng, H. Tourapis,A. Tourapis, J. Boyce, Fast mode decision and motion estimation for JVT/H.264, International Conf. on Image Process. 2003, III-853-856 vol.2, Sept., 2003
  16. MPEG, Call for Proposals on 3D Video Coding Technology, ISO/IEC JTC1 SC29 WG11, 2011