The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
권호 표지
DOI QR코드

DOI QR Code

A New Motion Vector Coding Scheme for Improving Video Coding Efficiency

동영상 부호화 성능 개선을 위한 새로운 움직임 벡터 부호화 기법

  • 기대욱 ((주)픽셀플러스 부설연구소) ;
  • 김현태 (동의대학교 멀티미디어공학과) ;
  • 문용호 (경상대학교 정보과학과)
  • Received : 2013.02.05
  • Accepted : 2013.05.20
  • Published : 2013.05.31
Download PDF
⟨ Previous Next ⟩

Abstract

It is necessary to develop an efficient MVD coding scheme to improve the video coding performance. In this paper, combined codeword and joint codeword are suggested from analyses on statistical distributions of MVD according to the quantization steps and the conventional codeword structure. Based on these codewords, we propose new MVD coding scheme where one of the suggested codewords is employed to encode the MVD according to the coding environment. Simulation results show that the proposed scheme enhances the coding performance without the quality degradation.

동영상 부호화의 성능을 더욱더 향상시키기 위해서는 효과적인 움직임 벡터 부호화 기법의 개선이 요구된다. 본 논문에서는 양자화 크기에 따른 MVD의 확률 분포 특성과 기존 부호어의 구조 특성의 분석을 통하여 혼합 부호어 및 결합 부호어를 개발한다. 그리고 부호화 환경에 따라 혼합부호어와 결합 부호어를 선택하여 적용하는 새로운 MVD 부호화 기법을 제안한다. 모의실험은 제안하는 부호화 기법이 화질의 저하없이 부호화 성능을 향상시킴을 보여준다.

Keywords

References

  1. H. Schwarz, D. Marpe, and T. Wiegand, "Overview of the Scalable Video Coding Extension of the H.264/AVC Standard", IEEE Trans. on Circuits and Systems for Video Technology, Vol. 17, No. 9, pp. 1103-1120, Sep. 2007. https://doi.org/10.1109/TCSVT.2007.905532
  2. S. H. Lee, "Fast motion estimation with adaptive search range adjustment using motion activities of temporal and spatial neighbor blocks", The journal of the Korea Institute of Electronics Communication Sciences, Vol. 5, No. 4, pp. 372-378, 2010.
  3. Y. H. Han, "A study on motion prediction and subband coding of moving pictures using GRNN", The journal of the Korea Institute of Electronics Communication Sciences, Vol. 5, No. 3, pp. 256-261, 2010.
  4. Y. J. Shin, N. R. Son, N. D. Today, and G. S. Lee "H.264/AVC to MPEG 2 video transcoding by using motion vector clustering", The journal of the Korea Institute of Electronics Communication Sciences, Vol. 5, No. 1, pp. 23-30, 2010.
  5. G. Laroche, J. Jung, B.P-. Popescu, "RD optimized coding for motion vector predictor selection", IEEE Trans. on Circuits and Systems for Video Technology, Vol. 18, No. 12, pp. 1681-1691, Dec. 2008. https://doi.org/10.1109/TCSVT.2008.2004921
  6. I. E. G. Richardson, H.264 and MPEG-4 Video Compression-video coding for next-generation multimedia, John Wiley & Sons, Inc..
  7. D. Marpe, H. Schwarz, T. Wiegand, "Context- based adaptive binary arithmetic coding in the H.264/AVC video compression standard", IEEE Trans. on Circuits and Systems for Video Technology, Vol. 13, No. 7, pp. 620-637, Jul. 2003. https://doi.org/10.1109/TCSVT.2003.815173
  8. T. M. Cover and J. A. Thomas, Element of Information Theory, John Wiley & Sons, Inc.
  9. J. Reichel, H. Schwarz, and M. Wien, "Joint Scalable Video Model 11(JSVM 11)", JVT, Geneva, CH, Doc. JVT-X202, July 2007.