DOI QR코드

DOI QR Code

Quality Metric with Full Scalability on Scalable Video Coding

확장 가능한 영상 부호화에서 전 확장성을 고려한 품질 메트릭

  • 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)
  • 서동준 (한국정보통신대학교 공학부) ;
  • 김천석 (한국정보통신대학교 공학부) ;
  • 배태면 (한국정보통신대학교 공학부) ;
  • 노용만 (한국정보통신대학교 공학부)
  • Published : 2007.03.29

Abstract

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.

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.

Keywords

References

  1. S. F. Chang, A. Vetro, 'Video adaptation: concepts, technologies, and open issues,' Proceedings of the IEEE, Vol. 93, Issue 1, pp. 148-158, Jan. 2005
  2. Y. J. Jung, Y. S. Kim, D. Y. Kim, J. G. Kim, J. W. Hong, Y. M. Ro, 'Analysis of Human Perception for Semantic Concept-based Video Transcoding,' in Proc. IWAIT 2005, Jan, 10-11, 2005
  3. S. Winkler, 'A perceptual distortion metric for digital color video,' in Proc. SPIE Human Vision and Electronic Imaging, Vol. 3644, pp. 175-184, Jan.1999
  4. E. Ong, W. Lin, Z. Lu, S. Yao, X. Yang, F. Moschetti, 'Low bit rate quality assessment based on perceptual characteristics,' Image Processing, 2003, International Conference on, Vol. 3, pp. 182-192, Sept. 2003 International Conference on, Vol. 3, pp.182-192, Sept. 2003
  5. E. Ong, X. Yang, W. Lin, Z. Lu, S. Yao, 'Perceptual Quality Metric For Compressed Videos,' IEEE International Conference on Acoustics, Speech, and Signal Processing (CASSP 2005), Mar. 18-23, 2005
  6. E. C. Reed, F. Defaux, 'Constrained bit-rate control for very low bit-rate streaming-video applications,' IEEE Trans. Circuit Syst. Video Technol., Vol. 11, No. 7, pp. 882-888, July 2001 https://doi.org/10.1109/76.931115
  7. H. Song, C.-C. Jay Kuo, 'Rate control for low-bit-rate video via variable-encoding frame rates,' IEEE Trans. Circuit Syst. Video Technol., Vol. 11, No. 4, pp. 512-521, April 2001 https://doi.org/10.1109/76.915357
  8. J. D. McCarthy, M. A. Sasse, D. Miras, 'Sharp or smooth? Comparing the effects of quantization vs frame rate for streamed video,' in Proc. CHI 2004, pp. 535-542, April 2004
  9. G. Hauske, R. Hofmeier, and T. Stockhammer, 'Subjective Image Quality of Low-Rate and Low-Resolution Video Sequence,' in Proc. International Workshop in Mobile Multimedia Communications, Oct. 2003
  10. O. Nemethova, M. Ries, E. Siffel, M. Rupp, 'Quality Assessment for H.264 Coded Low-Rate and Low-Resolution Video Sequences,' in Proc. Conference on Internt and Information Technologies (CIIT), pp. 136-140, Nov. 2004
  11. M. Ries, O. Nemethova, B. Badic, M. Rupp, 'Assessment of H.264 coded panorama sequences,' in Proc Conference on Multimedia Services Access Networks (MSAN), Jun. 13-15, 2005
  12. R. Feghali, D. Wang, F. Speranza, A. Vincent, 'Quality metric for Video Sequences with Temporal Scalability,' International Conference on Image Processing 2005, Genova, Italy, Sep. 11-14, 2005
  13. ITU-R Recommendation BT.500-11: 'Methodology for the subjective assessment of the quality of television pictures,' ITU, 2002
  14. F. Pereira, T. Alpert, 'MPEG-4 Video Subjective Test Procedures and Results,' IEEE Trans. Circuits Syst. Video Technol., Vol. 7, No. 1, pp. 32-51, Feb. 1997 https://doi.org/10.1109/76.554416
  15. ISO/IEC JTC1/SC29/WG11, 'Joint Scalable Video Model JSVM-5,',JVT-R202, Bangkok,,Thailand, 14-20 January, 2006
  16. D. K. Park, Y. S. Jeon, C. S. Won, S. J. Park, 'Efficient use of local edge histogram descriptor,' Workshop on Standards, Interoperability and Practices, ACM, pp. 52-54, Marina del Rey, CA, Nov. 4, 2000
  17. T. Sikora, 'The MPEG-7 Visual Standard for Content Description -An Overview,' IEEE Trans. Circuit Syst. Video Technol., Vol. 11, No. 7, pp. 696-702, June 2001 https://doi.org/10.1109/76.927422
  18. S. Benini, L.-Q. Xu, R. Leonardi, 'Using lateral ranking for motion- based video shot retrieval and dynamic content characterization,' in Proc. Fourth International Workshop on Content-Based Multimedia Indexing, Riga, Latvia. June, 2005
  19. T. Sikora, 'The MPEG-7 Visual Standard for Content Description -An Overview,' IEEE Trans. Circuit Syst. Video Technol., Vol. 11, No. 7, pp. 696-702, June 2001 https://doi.org/10.1109/76.927422
  20. A. Divakaran, 'An Overview of MPEG-7 Motion Descriptors and Their Applications,' in Proc. the 9th International Conference on Computer Analysis of Images and Patterns, Springer-Verlag, Lecture Notes In Computer Science, Vol. 2124, pp. 29-40, 2001
  21. Y. S. Kim, Y. J. Jung, T. C. Thang, Y. M. Ro, 'Bit-stream Extraction to Maximize Perceptual Quality Using Quality Information Table in SVC,' in Proc. SPIE, Visual Communication and Image Processing, Vol. 6077, Jan 2006
  22. H. Knoche, J. McCarthy, M. Sasse, 'Can Small Be Beautiful? Assessing Image Resolution Requirements for Mobile TV,' in Proc. the 13th annual ACM Multimedia, Nov. 2005