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基于H.264低复杂度的变换与量化研究 被引量:2

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摘要 文章介绍了H.264中变换与量化过程。H.264采用了4×4块变换,使用整数算术运算,避免了反变换中的误匹配问题。采用16位的整数运算,大大降低了运算复杂度,同时,PSNR只下降了0.01。
出处 《海南广播电视大学学报》 2007年第3期85-87,共3页 Journal of Hainan Radio & TV University
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参考文献6

  • 1Henrique S Malvar,Antti Hallapuro,Marta Karczewicz,and Louis Kerofsky.Low-Complexity Transform and Quantiza-tion in H.264/AVC[].IEEE Transactions on Circuits and Systems for Video Technology.2003
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同被引文献12

  • 1王益华,郑晓军,刘金刚,袁开智.H.264变换和量化算法研究[J].电视技术,2006,30(z1):21-23. 被引量:1
  • 2田晓华,朱光喜,王曜.一种类DCT的8×8整数变换[J].中国图象图形学报(A辑),2004,9(8):916-921. 被引量:3
  • 3胡红旗,孙景楠.一种4×4整数变换的设计实现[J].计算机工程与应用,2005,41(33):112-114. 被引量:1
  • 4陈文洪,严正楷.H.264视频编码在数码监控系统中的应用研究[J].广州大学学报(自然科学版),2006,5(3):44-49. 被引量:4
  • 5STAUFFER C, GRIMSON W E L. Adaptive backgound mixture models for real-time tracking[J]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1999(2):246-252.
  • 6COLLINS R T, LIPTON A J, KANADE T. Introduction to the special section on video surveillance[J]. IEEE Trans. pattern Analysis and Machine Intelligence, 2000,22(8):745-746.
  • 7ROBERT T C, ALAN J L, TAKEO K, et al. A system for video surveillance and monitoring [EB/OL].[2008-01-18]. http://wwvc.ri.cmu.edu/pubs/pub_3325.html.
  • 8HARITAOGLU I. A real time system for detecting and tracking of people and recognizing their activities [J]. Computer Vision Laboratory University of Maryland College Park, 2000(5):96-98.
  • 9MEKENNA T. Video surveillance and human activity recognition for anti-terrorism and force protection[J]. Proceedings of IEEE Conference on Advanced Video and Signal Based Surveillance, 2003(6) :22-23.
  • 10PICCARDI M. Background subtraction techniques:a review[J]. 2004 IEEE International Conference on Systems, Man and Cybemetlcs, 2004(4):10-13.

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