Journal of Broadcast Engineering (방송공학회논문지)

The Korean Institute of Broadcast and Media Engineers (한국방송∙미디어공학회)
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Bit-plane based Lossless Depth Map Coding Method

비트평면 기반 무손실 깊이정보 맵 부호화 방법

  • Published : 2009.09.30
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Abstract

This paper proposes a method for efficient lossless depth map coding for MPEG 3D-Video coding. In general, the conventional video coding method such as H.264 has been used for depth map coding. However, the conventional video coding methods do not consider the image characteristics of the depth map. Therefore, as a lossless depth map coding method, this paper proposes a bit-plane based lossless depth mar coding method by using the MPEG-4 Part 2 shape coding scheme. Simulation results show that the proposed method achieves the compression ratios of 28.91:1. In intra-only coding, proposed method reduces the bitrate by 24.84% in comparison with the JPEG-LS scheme, by 39.35% in comparison with the JPEG-2000 scheme, by 30.30% in comparison with the H.264(CAVLC mode) scheme, and by 16.65% in comparison with the H.264(CABAC mode) scheme. In addition, in intra and inter coding the proposed method reduces the bitrate by 36.22% in comparison with the H.264(CAVLC mode) scheme, and by 23.71% in comparison with the 0.264(CABAC mode) scheme.

본 논문에서는 MPEG 3차원 비디오 표준 깊이정보 맵에 대한 효율적인 무손실 압축 방법을 제안한다. 일반적으로 깊이정보 맵을 부호화할 때 자연영상에 적용되는 H.264 등의 동영상 부호화 방법을 그대로 사용하고 있는데, 이러한 부호화 방법은 깊이정보 맵의 영상특성을 고려하지 않은 방법이다. 본 논문에서는 깊이정보 맵의 무손실 압축 방법으로 MPEG-4 Part-2 Visual의 이진 형상 부호화를 이용한 비트평면 부호화 방법을 제안하였다. 실험결과로서 제안하는 방법이 28.91:1의 압축률을 실현하였고, 화면 내 예측만을 수행한 경우에 JPEG-LS보다 24.84%, JPEG-2000보다 39.35%, H.264 (CAVLC 적용)보다 30.30% 그리고 H.264 (CABAC 적용)보다 16.65% 정도의 비트량 절감을 실현하였고, 또한 화면 내 예측뿐만 아니라 화면 간 예측을 모두 수행한 경우에 H.264 (CAVLC 적용)보다 36.22% 그리고 H.264 (CABAC 적용)보다 23.71% 정도의 비트량 절감을 실현할 수 있었다.

Keywords

References

  1. ISO/IEC JTC1/SC29/WG11, 'Text of ISO/IEC 14496-10:200X/FDAM 1 Multi-view Video Coding,' N9978, Hannover, Germany, July 2008
  2. ISO/IEC JTC1/SC29/WG11, 'Introduction to 3D Video, N9784, Archamps, France, May 2008
  3. M. Tanimoto, 'Overview of Free Viewpoint Television,' Signal Processing: Image Communication, vol.21, no.6, pp.454-461, July 2006 https://doi.org/10.1016/j.image.2006.03.009
  4. A. Smolic, K. Mueller, P. Merkle, N. Atzpadin, C. Fehn, M. Mueller, O. Schreer, R. Tanger, P. Kauff, T. Wiegand, 'Multiview video plus depth (MVD) format for advanced 3D video systems,' ISO/IEC JTC1/SC29/WG11 and ITU-T SG16 Q.6, JVT-W100, San Jose, USA, 21-27, April, 2007
  5. ISO/IEC JTC1/SC29/WG11, 'Applications and Requirements on 3D Video Coding,' N10358, Lausanne, Switzerland, February 2009
  6. ISO/IEC JTC1/SC29/WG11, 'Text of ISO/IEC FDIS 23002-3 Representation of Auxiliary Video and Supplemental Information.' N8768, Marrakech, Moroco, January 2007
  7. A. Smolic, K. Mueller, N. Stefanoski, J. Ostermann, A. Gotchev, G.B. Akar, G.A. Triantafyllidis and A.Koz. 'Coding Algorithms for 3DTV - A Survey,' IEEE Trans. on Circuits and Systems for Video Technology, Vol 7, Issue 11, pp. 1606-1621, November 2007 https://doi.org/10.1109/TCSVT.2007.909972
  8. ISO/IEC 14496-2, 'Information technology - Coding of audio-visual objects - Part 2: Visual,' Version 1: April 1999, Version 2: February, 2000, Version 3: May 2004
  9. N. Brady, and F. Bossen, 'Shape compression of moving objects using context-based arithmetic encoding.' Signal Processing: Image Communication, Volume 15, pp. 601-617(17), Number 7, May 2000 https://doi.org/10.1016/S0923-5965(99)00047-8
  10. N. Brady, F. Bossen, and N. Murphy, 'Context-based arithmetic encoding of 2D shape sequences.' Special session on shape coding(ICIP '97), vol. 1, pp, 29-32, 1997 https://doi.org/10.1109/ICIP.1997.647376
  11. ISO/IEC 14496-5/FDAM1, 'MPEG-4 Video Reference Software,' N3895, Pisa, Italy, January 2001
  12. M. J.Weinberger, 'The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS,' IEEE Trans. Image Process., vol. 9, no. 8, pp. 1309 - 1324, Aug. 2000 https://doi.org/10.1109/83.855427
  13. C. Christopoulos, A. Skodras, and T. Ebrahimi, 'The JPEG 2000 still image coding system: An overview,' IEEE Transactions on Consumer Electronics, Vol. 46, pp. 1103-1127, 2000 https://doi.org/10.1109/30.920468
  14. M. S. Adams, and R.K. Ward, 'JasPer: a portable flexible open-source software tool kit for image coding/process,' in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASS'04), pp. 241-244, May 2004 https://doi.org/10.1109/ICASSP.2004.1327092
  15. F. Heinrich-Hertz-Institut, 'H.264/AVC JM Reference Software, version JM 13.2,' http://iphome.hhi.de/suehring/tml, May 2008
  16. Y.L. Lee, K.H. Han, and G.J. Sullivan, 'Improved Lossless Intra Coding for H.264/Mpeg-4 AVC,' IEEE Trans. Image Proc., vol. 15, no. 9, pp. 2610-2615, Sept. 2006 https://doi.org/10.1109/TIP.2006.877396
  17. 호요성, 이천, '3차원 비디오 부호화를 위한 국제 표준화 기술,' 방송공학회지, 제14권 제2호, pp.31 - 44, June, 2009