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一種用于塊運動估計的匹配準則函數(shù)塊特征匹配函數(shù)

駱立俊 鄒采榮 何振亞

駱立俊, 鄒采榮, 何振亞. 一種用于塊運動估計的匹配準則函數(shù)塊特征匹配函數(shù)[J]. 電子與信息學報, 1998, 20(4): 486-491.
引用本文: 駱立俊, 鄒采榮, 何振亞. 一種用于塊運動估計的匹配準則函數(shù)塊特征匹配函數(shù)[J]. 電子與信息學報, 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.

一種用于塊運動估計的匹配準則函數(shù)塊特征匹配函數(shù)

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

  • 摘要: 本文提出了一種新的塊運動估計匹配準則函數(shù)塊特征匹配(BFM)函數(shù),可以用于視頻壓縮的一些國際標準,如H.261,H.263,MPEG1,MPEG2,HDTV的編解碼器中。在這些視頻壓縮國際標準中視頻系統(tǒng)編碼器的復雜性最主要取決于運動估計算法。實時的塊匹配運動估計的VLSI實現(xiàn)需要考慮以下幾個方面:在給定搜索域內(nèi)運動搜索的復雜度;每次塊匹配運算的匹配計算復雜度;每次塊匹配運算需要從幀存讀取到運動估計處理器的數(shù)據(jù)量大小;實時硬件實現(xiàn)的適用性.仿真表明BFM算法非常簡單有效,可以大大降低相應的塊匹配計算復雜度、匹配運算時數(shù)據(jù)傳輸時間.BFM函數(shù)便于并行實現(xiàn),從而可以有效地縮短視頻編碼器的編碼時間。本文還詳細地給出了BFM函數(shù)與其它常用匹配準則函數(shù)的比較結果.
  • 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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出版歷程
  • 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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