Journal of Broadcast Engineering (방송공학회논문지)

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

DOI QR Code

Adaptive Interleaved Motion Vector Coding using Motion Characteristics

움직임 특성을 이용한 적응적 교차 움직임 벡터 부-복호화

  • Won, Kwang-Hyun (Digital Media Lab., School of Information and Communication Engineering, Sungkyunkwan University) ;
  • Yang, Jung-Youp (Digital Media Lab., School of Information and Communication Engineering, Sungkyunkwan University) ;
  • Park, Dae-Yun (Digital Media Lab., School of Information and Communication Engineering, Sungkyunkwan University) ;
  • Jeon, Byeung-Woo (Digital Media Lab., School of Information and Communication Engineering, Sungkyunkwan University)
  • 원광현 (성균관대학교 정보통신공학부 디지털미디어 연구실) ;
  • 양정엽 (성균관대학교 정보통신공학부 디지털미디어 연구실) ;
  • 박대윤 (성균관대학교 정보통신공학부 디지털미디어 연구실) ;
  • 전병우 (성균관대학교 정보통신공학부 디지털미디어 연구실)
  • Received : 2011.03.04
  • Accepted : 2011.03.22
  • Published : 2011.03.30
Download PDF
⟨ Previous Next ⟩

Abstract

This paper proposes an improved design of an interleaved motion vector coding scheme with flexibility in predictive motion vector component by exploiting motion characteristics. It can use component-wise adaptive motion vector predictor based on the utility of spatial and temporal motion field without any signaling bit for indicating decoder of the selected predictive motion vector component. Experiment with test video data shows about 1.99% (max 8.71%) bit rate reduction compared to the conventional H.264/AVC method.

본 논문은 영상의 움직임 특성을 참조하여 움직임 벡터 수평-수직 성분중 하나를 최적의 예측 움직임 벡터 성분으로 선택하여 사용할 수 있는 개선된 교차 움직임벡터 부호화 방법을 제시한다. 제안방법은 부-복호화를 수행할 움직임 벡터 성분의 순서를 복호화기에 알리는 신호비트를 별도로 보낼 필요 없이, 시공간적 움직임필드의 특성을 참조하여 적절한 움직임벡터 성분 예측치를 적응적으로 사용할 수 있다. 기존 H.264/AVC 방법과 비교한 실험 결과, 평균적으로 전체 비트량을 약 1.99% (최대 8.71%) 감소시킬 수 있음을 보여준다.

Keywords

References

  1. JVT of ISO/IEC MPEG and ITU-T VCEG, Draft ITU-T Recommendation and Final Draft International Standard of Joint Video Specification, ITU-T Rec. H.264, ISO/IEC 14496-10 AVC, 2003.
  2. T. Wiegand, G. J. Sullivan, G. Bjontegaard, and A. Luthra, "Overview of the H.264/AVC Video Coding Standard," IEEE Trans. on Circuits and Syst. for Video Tech., vol.13, no.7, pp.560-576, Jul. 2003. https://doi.org/10.1109/TCSVT.2003.815165
  3. J. Ostermann, J. Bormans, P. List, D. Marpe, M. Narroschke, F. Pereira, T. Stockhammer, and T. Wedi, "Video coding with H.264/AVC: tools, performance, and complexity," IEEE Circuits Syst. Mag., vol. 4, no. 1, pp. 7-28, 1Q, 2004. https://doi.org/10.1109/MCAS.2004.1286980
  4. G. Laroche, J. Jung, and B. Pesquet-Popescu, "A spatio-temporal competing scheme for the rate-distortion optimized selection and coding of motion vectors," Proc. 14th European Signal Processing Conf., Italy, 2006.
  5. Key Technology Area Reference Software, Version 2.0(KTA2.0). [Online]. Available: http://www.tnt.uni-hannover.de/-vatis/kta/.
  6. T. Wedi, "1/8-pel Motion Vector Resolution for H.26L," ITU-T VCEG, Proposal Q15-K-21, Aug. 2000.
  7. "Joint Call for Proposals on Video Compression Technology," ISO/IEC MPEG/ITU-T SG16 VCGE Doc. N11113/VCEG-AM91, Jan. 2010.
  8. L. A. Da Silva Cruz, and J. W. Woods, "Adaptive motion vector quantization for video coding," in Proc. IEEE ICIP, Oct. 2000, vol. 2, pp. 867-870. https://doi.org/10.1109/ICIP.2000.899850
  9. A. Deever and S. S. Hemami, "Dense motion field reduction for motion estimation," Signals, Syst. Comput., vol. 2, pp. 944-948, Nov. 1998. https://doi.org/10.1109/ACSSC.1998.751402
  10. M. H. Chan, Y. B. Yu, and A. G. Constantinides, "Variable size block matching motion compensation with applications to video coding," Proc. Inst. Elect. Eng., vol. 137, pp. 205-212, Aug. 1990.
  11. J. Yeh, M. Vetterli, and M. Khansari, "Motion compensation of motion vectors," Proc. IEEE Inter. Conf. Image Processing (ICIP), Oct. 1995, vol. 1, pp. 574-577. https://doi.org/10.1109/ICIP.1995.531431
  12. M. C. Chen and A. N. Willson, "A spatial and temporal motion vector coding algorithm for low-bit-rate video coding," Proc. IEEE Inter. Conf. Image Processing (ICIP), Oct. 1997, vol. 2, pp. 791-794. https://doi.org/10.1109/ICIP.1997.638615
  13. S. D. Kim and J. B. Ra, "An efficient motion vector coding scheme based on minimum bit rate prediction," IEEE Trans. Image Process., vol. 8, no. 8, pp. 1117-1120, 1999. https://doi.org/10.1109/83.777091
  14. G. Laroche, J. Jung, and B. Pesquet-Popescu, "RD Optimized Coding for Motion Vector Predictor Selection," IEEE Trans. on Circuits and Syst. for Video Tech., vol.18, no.12, pp.1681-1691, Dec. 2008. https://doi.org/10.1109/TCSVT.2008.2004921
  15. J. Yang, K. Won, and B. Jeon, "Motion vector coding with selection of an optimal predictive motion vector" SPIE Opt. Eng., vol. 48, no.1, pp.010501, Jan. 2009. https://doi.org/10.1117/1.3070632
  16. JCT-VC, "Description of video coding technology proposal by Fraunhofer HHI", Joint Collaborative Team on Video Coding (JCT-VC) of ITU-T SG16 WP3 and ISO/IEC JTC1/SC29/WG11, document JCTVC-A116, Dresden, DE, 15-23 April, 2010.
  17. G. Bjontegaard, "Calculation of average PSNR differences between RD-curves," ITU-T SG16/Q6 Doc. VCEG-M13, April 2001.