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1. 中国科学院大学 北京,中国,100049
2. 中国科学院 长春光学精密机械与物理研究所 航空光学成像与测量重点实验室,吉林 长春,130033
收稿日期:2013-03-15,
修回日期:2013-04-11,
纸质出版日期:2014-04-25
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孙乐, 戴明, 陈晓露等. 基于人眼视觉系统的H.264/AVC码率控制算法[J]. 光学精密工程, 2014,22(4): 1020-1028
SUN Le, DAI Ming, CHEN Xiao-lu etc. H.264/AVC rate control algorithm based on human visual system[J]. Editorial Office of Optics and Precision Engineering, 2014,22(4): 1020-1028
孙乐, 戴明, 陈晓露等. 基于人眼视觉系统的H.264/AVC码率控制算法[J]. 光学精密工程, 2014,22(4): 1020-1028 DOI: 10.3788/OPE.20142204.1020.
SUN Le, DAI Ming, CHEN Xiao-lu etc. H.264/AVC rate control algorithm based on human visual system[J]. Editorial Office of Optics and Precision Engineering, 2014,22(4): 1020-1028 DOI: 10.3788/OPE.20142204.1020.
提出了一种基于人眼视觉系统(HVS)特性的H.264/AVC码率控制方案以解决传统的H.264/AVC码率控制算法中由于码率分配不当造成视频质量较差的问题。该方案利用人眼视觉系统对视频场景感知的选择性设计了一种新的基于区域的码率控制算法。首先,利用当前帧和前一帧的信息快速地检测出运动区域和非运动区域。其次,根据宏块所在区域的复杂度进一步将非运动区域细分为平坦区域和复杂区域。最后,对这3种区域依据不同的视觉敏感度权重分配适当的比特数。基于不同区域峰值信噪比(PSNR)、连续帧PSNR、主观评价以及缓冲器充盈度综合评价了本文算法的性能,结果表明,提出的基于区域的码率控制方案对不同视觉特性区域的比特分配有较高的鲁棒性,与JVT-G012的码率控制算法相比能获得较好的主观和客观编码质量。
This paper proposes a rate-control scheme based on Human Visual System(HVS) for H.264/AVC to improve the poor video quality caused by the normal rate control in traditional H.264/AV scheme. A novel rate control algorithm was designed based on selectivity to visual scene in the perception of the HVS. Firstly
the moving region and non-moving region were quickly detected by using the information from a current frame and a previous frame. Then
non-moving region was sub-divided into complex regions and flat regions according to the complexity of MBs region. Finally
the appropriate bits were allocated onto these three regions based on their own perceptual sensitivity weighting factors and the performance of the algorithm was evaluated by Peak Signal to Noise Ratios(PSNRs) in different regions and continuous frames
subjective evaluation and filling degree of a bumper. Experimental results show that the proposed region-based rate control scheme has high robustness in bit allocation in different regions. In comparing with the JVT-G012 in H.264 rate control approach
it can achieve better subjective and objective quality.
ITU-T/ISO/IEC Joint Video Team. Advanced video coding for generic audiovisual services(H.264, ISO/IEC 14496-10 AVC)[S].ITU-T and ISO/IEC, 2003.
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BATTIATO L, PAN Z G, LIM K P F, et al. Adaptive basic unit layer rate control for JVT(JVT-G012)[C]. Joint Video Team (JVT) 7th Meeting, Pattaya, Thailand, 2003.
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姚军财. 基于人眼对比度敏感视觉特性的图像质量评价方法[J]. 液晶与显示, 2011, 26(3): 390-396. YAO J C. Image quality assessment method based on contrast sensitivity characteristics of human vision system[J]. 2011, 26(3): 390-396. (in Chinese)
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LIU Y, LI Z G, SOH Y C. Region-of-interest based resource allocation for conversational video communication of H.264/AVC[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2008, 18(1):134-139.
ZHANG Q Y, YU M, PENG Z J, et al. Human visual system based rate control algorithm for H.264/AVC[J]. Journal of Optoelectronics·Laser, 2011, 22(3):440-445.
SUN Y, AHMAD I, LI D, et al.Region-based rate control and bit allocation for wireless video transmission[J]. IEEE Trans. Multimedia, 2006, 8(1):1-10.
SONG H, KUO C C. A region-based H.263+ codec and its rate control for low VBR video[J]. IEEE Trans. Multimedia, 2004, 6(3):489-500.
吴君钦, 刘昊, 罗勇. 静态背景下的运动目标检测算法[J]. 液晶与显示, 2012, 27(5):682-686. WU J Q, LIU H, LUO Y. Algorithm of moving object detection in static background[J].Chinese Journal of Liquid Crystals and Displays, 2012, 27(5):682-686. (in Chinese)
REN G, LI P, WANG G.A novel hybrid coarse-to-fine digital image stabilization algorithm[J].Inform. Technol. J., 2010, 9(7):1390-1396.
JVT.H.264/AVC reference software (JM12.2)[EB/OL]. (2009-09)[2012-05-14]http://iphome.hhi.de/suehring/tml.
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