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Volume 28 Issue 6
Jun.  2006
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Tang Tian-ye, Liu Zhao. Rate Control Based on Content Complexity in Video Coding[J]. Journal of Electronics & Information Technology, 2006, 28(6): 1115-1119.
Citation: Tang Tian-ye, Liu Zhao. Rate Control Based on Content Complexity in Video Coding[J]. Journal of Electronics & Information Technology, 2006, 28(6): 1115-1119.

Rate Control Based on Content Complexity in Video Coding

  • Received Date: 2004-10-19
  • Rev Recd Date: 2005-03-15
  • Publish Date: 2006-06-19
  • A new video rate control scheme which uses linear source model as content complexity measure of video frames is proposed in this paper to implement bit allocation between frames and rate control over Micro Btocte(MB) level in one frame. Comparing with TM5, simulation results show that the proposed method can improve PSNR obviously and achieve more accurate rate control as well as more smooth objective and subjective visual quality even when scenes change. This algorithm is also applicable in MPEG4 and low rate video coding.
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  • ISO-IEC/JTC1/SC29/WG11. Generic coding of moving pictures and associated audio information: Video. ISO-IEC 13818-2, Nov. 1994.[2]ISO-IEC/JTC1/SC29/WG11.Coding of Audio/Visual Objects: Vide. ISO-IEC 14496-2, 1999.[3]ITU-T, Study Group 15. Draft of recommendation H.263: Video coding for low bit rate communication. May 2, 1996.[4]Document ISO-IEC/JTC/SC29/WG11. Test Model 5. Draft, Apr. 1993.[5]Hong S H, et al.. Rate control of MPEG video for consistent picture quality[J].IEEE Trans. on Broadcasting.2003, 49(1):1-[6]Hoang D T.[J].Vitter J S. Efficient Algorithms for MPEG Video Compression. New York, USA: John Wiley Sons.2002,:-[7]He Z H, Mitra S K. A linear source model and a unified rate control algorithm for DCT video coding[J].IEEE Trans. on Syst. Video Technol.2002, 12(11):970-[8]Corbera J R, Lei S M. Rate control in DCT video coding for low-delay communications[J].IEEE Trans. on Syst. Video Technol.1999, 9(1):172-
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