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一种用于块运动估计的匹配准则函数块特征匹配函数

骆立俊 邹采荣 何振亚

骆立俊, 邹采荣, 何振亚. 一种用于块运动估计的匹配准则函数块特征匹配函数[J]. 电子与信息学报, 1998, 20(4): 486-491.
引用本文: 骆立俊, 邹采荣, 何振亚. 一种用于块运动估计的匹配准则函数块特征匹配函数[J]. 电子与信息学报, 1998, 20(4): 486-491.
Luo Lijun, Zou Cairong, He Zhenya. A NEW MATCHING CRITERION FUNCTION FOR BLOCK MOTION ESTIMATION-BLOCK FEATURE MATCHING FUNCTION[J]. Journal of Electronics & Information Technology, 1998, 20(4): 486-491.
Citation: Luo Lijun, Zou Cairong, He Zhenya. A NEW MATCHING CRITERION FUNCTION FOR BLOCK MOTION ESTIMATION-BLOCK FEATURE MATCHING FUNCTION[J]. Journal of Electronics & Information Technology, 1998, 20(4): 486-491.

一种用于块运动估计的匹配准则函数块特征匹配函数

A NEW MATCHING CRITERION FUNCTION FOR BLOCK MOTION ESTIMATION-BLOCK FEATURE MATCHING FUNCTION

  • 摘要: 本文提出了一种新的块运动估计匹配准则函数块特征匹配(BFM)函数,可以用于视频压缩的一些国际标准,如H.261,H.263,MPEG1,MPEG2,HDTV的编解码器中。在这些视频压缩国际标准中视频系统编码器的复杂性最主要取决于运动估计算法。实时的块匹配运动估计的VLSI实现需要考虑以下几个方面:在给定搜索域内运动搜索的复杂度;每次块匹配运算的匹配计算复杂度;每次块匹配运算需要从帧存读取到运动估计处理器的数据量大小;实时硬件实现的适用性.仿真表明BFM算法非常简单有效,可以大大降低相应的块匹配计算复杂度、匹配运算时数据传输时间.BFM函数便于并行实现,从而可以有效地缩短视频编码器的编码时间。本文还详细地给出了BFM函数与其它常用匹配准则函数的比较结果.
  • ITU-T H.261, Video Codec for Audiovisual Services at 64-1920 kbps, June 1990.[2]ITU-T H.263, Draft Recommendation H.263 Video Coding for Narrow Telecommunication Channels at Below 64kbps, Mar. 1995.[3]ISO/IEC 11172 (MPEG1 DIS), Coding of Moving Pictures and Associated Audio for Digital Storage Media at Up to About 1.5Mbps, Nov. 1991.[4]ISO/IEC 13818-2 (MPEG2 DIS), Coding of Moving Picture and Associated Audio, 1995.[5]HDTV, Grand Alliance HDTV System Specification, Version 2.0, Dec. 1994.[6]Koya T, Iinuma K, Hirano A, Iiyima Y, Ishi-guro T. Motion-compensated inter-frame coding for video conferencing. in Proc. NTC81, New Orleans, LA: Nov. 1981, C9.6.1-9.6.5.[7]Kappagantula S, Rao K R. Motion compensated inter-frame image prediction. IEEE Trans. on Commun., 1985, COM-33(9): 1011-1015.[8]Jain J R, Jain A K. Displacement measurement and its application in interframe image coding. IEEE Trans. on Commun., 1981, COM-29(12): 1799-1808.[9]Ghanbari T. The cross-search algorithm for motion estimation. IEEE Trans. on Commun., 1990, Com-38(7): 950-953.[10]Lee W, Wang J F, Lee J Y, Shie J D. Dynamic search-window adjustment and interlaced search for block-matching algorithm. IEEE Trans. on CASVT, 1993, 3(2): 85-87.[11]Li W, Zeng B, Liou M. A new three-step search algorithm for block motion estimation. IEEE Trans. on CAS VT, 1994, 4(4): 438-442.[12]Po M, Ma W C. A novel four-step algorithm for fast block motion estimation. IEEE Trans. on CAS VT, 1996,6(3): 93-98.[13]Kim J S, Park R H. A fast feature-based block matching algorithm using integral projection[J].IEEE J. of Select. Areas Commun.1992, 10(6):968-971[14]Bierling M. Displacement estimation by hierarchical block matching. in SPIE VCIP88, San Diago: 1988, Vo1.1001, 942-51.[15]Uz M, Vetterli M, Gall D L. Interpolative multiresolution coding of advanced TV and compatible subchannels. IEEE Trans. on CAS VT, 1991, 1(3): 86-99.[16]Gharavi G. Subband coding algorithms for video applications: videophone to HDTV conferencing. IEEE Trans. on CAS VT, 1991, 1(6): 174-183.[17]Zhang Y Q, Zafar S. Motion-compensated wavelet transform coding for color video compression. IEEE Trans. on CAS VT, 1992, 2(9): 286-296.[18]kappagantula S, Rao K R. Motion Compensated predictive coding. in SPIE 27th Proc. 432, New York: 1985, G67-70.[19]Chen M J, Chen L G, Chiueh T D. A new block-matching criterion for motion estimation and its implementation. IEEE Trans. on CAS VT, 1995, 5(6): 231-236.[20]Lee X B, Zhang Y Q. A fast hierarchical motion-compensation scheme for video coding using block feature matching. IEEE Trans. on CAS VT, 1996, 6(12): 627-635.
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出版历程
  • 收稿日期:  1997-03-25
  • 修回日期:  1997-09-17
  • 刊出日期:  1998-07-19

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