Journal of the Institute of Electronics and Information Engineers (전자공학회논문지)

The Institute of Electronics and Information Engineers (대한전자공학회)
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A Bit-rate Converter for Selective Coding

선택적부호화를 위한 비트율 변환기

  • Received : 2014.08.06
  • Accepted : 2014.08.27
  • Published : 2014.09.25
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Abstract

This paper presents a video bitrate converter for baseline profile in H.264/AVC standards to control a selective coding scheme for several applications such as tactical scenes or multimedia area. Transmission channels have various capacities according to the application area, and the bitstream stored in computer should be converted in order not to exceed the capacities of a transmission channel. So the problem is how to convert compressed bitsreams of a given bit-rate into compressed bitsreams of other bit-rates. Such a specific transcoding problem in this paper is referred to as bit-rate conversion. Several researches have been done on bit-rate conversion for the bitstreams compressed by MPEG or H.264/AVC. But the existing schemes are not suitable for selective coding scheme because it needs to recover interest regions better image quality than background. So we propose a new bit-rate converter which considers the importance between interest regions and background.

본 논문에서는 H.264/AVC 표준 비트 스트림을 전술영상이나 멀티미디어 환경에 응용가능한 선택적 부호화를 위한 비트율 변환방안을 제시하였다. 전송채널은 응용분야에 따라 다양한 채널 용량을 갖고 있고, 따라서 컴퓨터에 저장된 비트스트림은 전송채널용량을 초과하지 않도록 적절히 비트율 변환이 이루어져야한다. 기 제공된 영상압축 비트스트림을 다른 비트율로 재변환하는 문제가 바로 비트율 변환이며, 본 논문에서는 새로운 비트율 변환방식을 제안하고자 한다. MPEG이나 H.264/AVC 압축 비트스트림을 이용하여 비트율을 변환하는 다양한 방식들이 여러 학자들에 의해 제시되었으며 실제로 많이 응용되고 있지만, 본 논문의 선택적 부호화 응용 분야에는 제대로 적용되지 않는다. 즉 프레임 내의 특정한 영역이 다른 부분보다 정보의 가치가 크고 따라서 이들 부분은 다른 부분에 비해 고화질로 재생되어야 하지만 기존의 방식으로는 이를 구현하기가 힘들다. 따라서 본 논문에서는 관심영역과 배경 간의 정보의 중요성을 고려하여 화질을 차별화하는 새로운 비트율 변환기를 제안하고자 한다.

Keywords

References

  1. ITU-T, ISO/IEC JTC 1, "Advanced Video Coding for Generic Audiovisual Services", H.264/AVC and ISO/IEC 14496, ITU 2009.
  2. J. B. Lee and S. D. Kim,"A selective coding method based on global/local motion information", Signal Processing, pp. 339-350, 1996.
  3. A Dziri, A Diallo, M Kieffer, P Duhamel, "P-picture based H.264 AVC to H.264 SVC temporal transcoding", the proceedings of international wireless communications and mobile computing conference, Greece , 2008.
  4. H Al-Muscati, F Labeau, "Temporal transcoding of H.264/AVC video to the scalable format", at the proceedings of 2nd international conference on image processing theory tools and applications, France, 2010.
  5. R Sachdeva, S Johar, E Piccinelli, "Adding SVC spatial scalability to existing H.264/AVC video", the proceedings of 8th IEEE/ACIS international conference on computer and information science, China, 2009.
  6. C-H Yeh, W-Y Tseng, S-T Wu, "Mode decision acceleration for H.264/AVC to SVC temporal video transcoding", EURASIP J. Adv. Signal Process, 2012.
  7. Rosario Garrido-Cantos1, et al.,,"Low-complexity transcoding algorithm from H.264/AVC to SVC using data mining", EURASIP Journal on Advances in Signal Processing 2013.
  8. u-Hyun Seo, et al.,"An efficient ME scheme for H.264 to SVC transcoder", Journal of the Institute of Electronics and Information Engineers ITC-CSCC, July 2007, 665-666.
  9. Y. T. Hong, et al., "MPEG-2/H.264 Transcoder Structure", the Paper collection of 2006's Fall Conference, the Institute of Electronics and Information Engineers, Nov. 2006, pp. 699-702.
  10. G. Keesman, R. Hellinghuizen, Fokke Hoeksema, and Geert Heideman, "Transcoding of MPEG bitstreams", Signal Processing: Image Communication 8, pp. 481-500, 1996. https://doi.org/10.1016/0923-5965(95)00067-4
  11. G. Morrison, "Video Transcoders with Low Delay", IEICE. Trans. Communi., Vol. E80-B. No. 6, Jun. 1997, pp. 963-969.
  12. Yasuyuki Nakajima, Hironao Hori, and Tamotsu Kanoh, "Rate conversion of MPEG coded video by requantization process", Proc. ICIP, 1995, pp. 408-411.
  13. H. Sun, W. Kwok, and J. W. Zdepski, "Architectures for MPEG compressed bitstream scaling", IEEE Trans. on Circuits and Systems for Video Technology, Vol. 6, No. 2, April 1996, pp. 191-199. https://doi.org/10.1109/76.488826
  14. R.O.Duda and P.E.Hart, Pattern Classification and Scene Analysis, Wiley-Interscience, 1973.
  15. D.H.Ballard and C.M. Brown, Computer Vision, Prentice Hall. 1982.
  16. P. Strobach,"Tree-structured Scene Adaptive Coder", IEEE Tr. on Comm. 38. 1990.
  17. G. J. Sullivan and R. L. Baker, "Efficient quadtree coding of image and video", IEEE Int. Conf. on ASSP, May 1991, pp. 2661 - 2664.
  18. D. J. Vaisey and A. Gersho, "Variable block size image coding", IEEE International Conf. on ASSP, Apr. 1987, pp.25.1.1-4.
  19. Y. Shoham and A. Gersho, "Efficient bit allocation for an arbitrary set of quantizers," IEEE Trans. on ASSP, Vol 36, Sep. 1988, pp. 1445-1453. https://doi.org/10.1109/29.90373
  20. J.Vaisey and A. Gersho, "Image compression with variable block size segmentation", IEEE Trans. on Signal Processing, Vol. 40, Aug. 1992, pp. 2040-2060. https://doi.org/10.1109/78.150005