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一种适用于MPEG-4形状编码的快速运动估计算法 被引量:1

A Fast Motion Estimation Algorithm for MPEG-4 Shape Coding
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摘要 运动估计是MPEG-4形状编码的一项关键技术,本文提出了一种适用于形状编码的快速运动估计算法。算法首先在参考帧中进行扫描,得出视频对象的二值边界掩模;在匹配运算时使用lbit的异或运算代替原有的加法运算;设定有效的中止准则,对于静止点直接中止搜索;在搜索过程中采用了渐进消除算法,能够在不影响搜索精度的前提下减少搜索点。实验结果表明使用本文的快速搜索算法,运动估计中的运算量比MPEG-4 VM原有搜索算法有较大幅度的降低,且编码后的码字长度与原算法基本一致。 Motion estimation is a key technology for MPEG-4 shape coding. In this paper,a fast motion estimation al- gorithm is proposed. By examining the content of Alpha plane, a binary mask for the effective search area can be gen erated. In the searching procedure, the traditional add and plus operation are replaced by lbit XOR operation, the suc- cessive elimination algorithm is used which can lower computational complekity while maintaining search accuracy. Experiment results show that the proposed algorithm can reduce the computational complexity of shape coding signifi- cantly and be suitable for real-time software and hardware applications.
作者 倪伟 郭宝龙
出处 《计算机科学》 CSCD 北大核心 2005年第7期128-130,共3页 Computer Science
基金 国家自然科学基金(69975015) 教育部优秀青年教师资助计划项目(2003)
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参考文献8

  • 1MPEG-4 Video Verification Model Version 18. 0 [S]. ISO/IEC JTC1/SC29/WG11 N3908, Jan. 2001
  • 2Zhu C, Lin X, Chau L. Hexagon-based search pattern for fast block motion estimation [J]. IEEE Trans. Circuits System Video Technology, 2002, 12(5) : 349~355
  • 3Zhu S, Ma K K. A new diamond search algorithm for fast blockmatching motion estimation [J]. IEEE Trans. on Image Processing, 2000, 9(2):287~290
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同被引文献4

  • 1ISO/IEC JTC1/SC29/WG11N 3908,MPEG-4 Video Verification Model Version 18.0[S].2001.
  • 2BRADY N.MPEG -4 standardized methods for the compression of arbitrarily shaped video object[J].IEEE Transactions on Circuits Systems for Video Technology,1999,9(8):1170-1189.
  • 3PANUSOPONE K,CHEN X.A fast motion estimation method for MEPG -4 arbitrarily shaped objects[A].Proceedings of IEEE International Conference on Image Processing[C].2000,3.624 -627.
  • 4YU D,JANG SK,RA JB.A fast motion estimation algorithm for MPEG-4 shape coding[A].Proceedings of IEEE International Conference on Image Processing[C].2000,1.876-879.

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