视频质量平滑中恒定SNR比特分配

康显桂; ZhuangXin-hua

doi:10.3724/SP.J.1146.2006.00232

视频质量平滑中恒定SNR比特分配

doi: 10.3724/SP.J.1146.2006.00232

康显桂^{①;ZhuangXin-hua},
ZhuangXin-hua

基金项目:

国家自然科学基金(60403045), 广东省自然科学基金(04009742)和美国NSF Equipment Award: NSF EIA 9911095、NIH DHHS 1 R01 DC04340-01A2资助课题

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出版历程
- 收稿日期: 2006-03-06
- 修回日期: 2006-11-21
- 刊出日期: 2007-10-19

Constant-SNR Bit Allocation in Video Quality Control

Kang Xian-gui^{①;ZhuangXin-hua},
Zhuang Xin-hua

摘要

摘要: 该文提出了一种基于恒定SNR的单次扫描帧级比特率分配的视频质量平滑方案 (CSNRBA)。采用之前所有编码帧的SNR的递减几何级数加权平均值作为当前帧的目标SNR，再根据国际上最近提出的闭合形式D-Q分析模型和线性码率模型，准确计算当前帧的比特预算。实验结果表明，该文提出的CSNRBA算法提供了比保持PSNR恒定算法和目前广泛采用的恒定比特率分配算法都要平滑得多的视频质量，并在物体清晰度、轮廓和自然色彩方面明显改善了传输视频的主观质量。
- SNR恒定;码率控制;比特分配;视频流;视频质量平滑
Abstract: A single-pass frame-level Constant-SNR Bit Allocation (CSNRBA) scheme is developed for video quality smoothing throughout the video sequence in this paper. A power series weighted actual SNR average of previous coded frames is adopted as the target SNR for the current frame. According to the newly developed analytic close-form D-Q model and the linear rate control algorithm, the bit budget can be estimated. Experimental results show that the proposed CSNRBA scheme provides much smoother video quality and achieves much better subjective video quality in terms of natural color, sharp objects and silhouette significantly on all testing video sequences than both constant bit allocation and constant PSNR bit allocation schemes.

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参考文献(1)

Ding W and Liu B. Rate control of MPEG video coding and recording by rate-quantization modeling[J].IEEE Trans. on Circuits and System for Video Technology.1996, 6(1):12-20[2]Hang H M and Chen J J. Source model for transform video coder and its application - part I: Fundamental theory. IEEE Trans. on Circuits and System for Video Technology. 1997, 7(2): 287-298.[3]Chiang T and Zhang Y Q. A new rate control scheme using quadratic rate distortion model[J].IEEE Trans. on Circuits and System for Video Technology.1997, 7(1):246-250[4]Ronda J I, Eckert M, Jaureguizar F, and Garcia N. Rate control and bit allocation for MPEG-4[J].IEEE Trans. on Circuits and System for Video Technology.1999, 9(8):1243-1258[5]Lin L J and Ortega A. Bit-rate control using piecewise approximated rate-distortion characteristics[J].IEEE Trans. on Circuits and System for Video Technology.1998, 8(4):446-[6]Bai J, Liao Q, Lin X, and Zhuang X. Rate -distortion model based rate control for real-time VBR video coding and low-delay communications[J].Signal Processing: Image Communication.2002, 17(2):187-199[7]He Z and Mitra S K. A linear source model and a unified rate control algorithm for DCT video coding[J].IEEE Trans. on Circuits and System for Video Technology.2002, 12(11):970-982[8]He Z and Mitra S K. Optimum bit allocation and accurate rate control for video coding via domain source modeling[J].IEEE Trans. on Circuits and System for Video Technology.2002, 12(10):840-849[9]Test Model 5. Draft, ISO-IEC/JTC1/SC29/WG11/N0400, April 1993.[10]Coding of Moving Pictures and Associated Audio, MPEG-4 Committee Draft, ISO/IEC 14496-2, Oct. 1998.[11]ITU-T SG16/Q15, Video Coding Expert Group, Video Codec Test Model TMN8, Portland, June 1997.[12]Cote G, Erol B, Gallant M, and Kossentini F. H.263+: Video coding at low bit rates[J].IEEE Trans. on Circuits and System for Video Technology.1998, 8(7):849-866[13]Chen T and He Z. Signal-pass distortion-smoothing encoding for low bit-rate video streaming applications. International Conference on Multimedia and Expo, Baltimore, USA, Jul. 2003: 237-240.[14]Lan J, Zhuang X, and Zeng W. Single-pass frame-level constant distortion bit allocation for smooth video quality. IEEE international conference on multimedia and expo 2004 (ICME 2004), Taibei, Taiwan, July 2004：387-390.[15]Cormen T H, Leiserson C E, Rivest R L, and Stein C. Introduction to Algorithms. MA, MIT Press, 2nd Edition, 2001, Chapter 3.

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