H.264 可調適多幅參考畫面移動補償｜國立中央大學博碩士論文系統

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研究生：	許文川 Wen-Chuan Hsu
論文名稱：	H.264 可調適多幅參考畫面移動補償 Adaptive Multiple Reference Frames Motion Compensation in H.264/AVC
指導教授：	林銀議 Yinyi Lin
口試委員:
學位類別：	碩士 Master
系所名稱：	資訊電機學院 - 通訊工程學系在職專班 Executive Master of Communication Engineering
畢業學年度：	97
語文別：	中文
論文頁數：	88
中文關鍵詞：	多幅參考畫面、H.264 、單調遞增、選擇性多幅參考畫面移動估計、全零區塊、提前終斷、區域基礎
外文關鍵詞：	H.264, multiple reference frames, selective multip
相關次數：	點閱：15 下載：0
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新一代的H.264 不管是壓縮率和影像品質都明顯優於以往的視訊標準｡這是因為其使用了新的技術可變區塊大小的移動估計、多幅參考畫面的移動估計、整數轉換｡
H.264運用了多幅參考畫面移動估計的技術,這技術讓H.264 編碼效益提升許多,但同時也增加了龐大的運算複雜度,我們提出一種演算法基於連續畫面間的相關性以改進多幅參考畫面移動估計之編碼效率｡
在本章中,我們修改了幾個先前的演算法,並提出了一種可調適機制,可以利用移動特性來改善先前的作法｡在提出的演算法中,我們使用一個簡單的標準分類所有的巨區塊特徵 (穩定區域或非穩定區域)｡
實驗結果顯示,建議的演算法對多幅參考畫面全搜索演算法的比較可以顯著減少計算複雜度,同時保持了良好的編碼性能｡

The new video coding standard, H.264/AVC, uses variable block size ranging from 4x4 to 16x16 and multi-reference frame in interframe coding｡
We proposed an effective algorithm to improve the multiple reference frame motion estimation scheme in H.264,based upon correlation among successive frames and neighboring blocks｡ To improve coding efficiency, in this paper, we modify the previous algorithm and propose an adaptive mechanism, which makes use of motion characteristic to modify previous work｡In proposed algorithm, we make use of a simple criterion to distinguish
the macroblock characteristic(stationary region or non-stationary region)｡
The experimental results reveal that the proposed algorithm brings out a significant reduction in computation compared to the multiple reference frame
full search algorithm, while maintaining a good coding performance｡

論文摘要.............................................................................................................II
Abstract ............................................................................................................. III
第一章 緒論....................................................................................................... 1
1 國際視訊壓縮標準簡介.............................................................. 1
2 動機與目地.................................................................................. 4
3 論文架構...................................................................................... 5
第二章 多幅參考畫面及提前終斷演算法回顧............................................ 7
1 多幅參考畫面移動估計演算法.................................................. 9
2 選擇性多幅參考畫面移動估計演算法.................................... 11
3 區域基礎演算法........................................................................ 14
4 全零區塊演算法........................................................................ 16
5 單調演算法................................................................................ 18
6 效能分析.................................................................................... 18
6.1 環境相關設定..................................................................... 18
6.2 統計分析............................................................................. 20
7 結論............................................................................................ 25
第三章 不同演算法下的固定參數分析......................................................... 26
1 選擇性多幅參考畫面對於不同factor 的影響......................... 27
1.1 固定量化參數下的不同factor 編碼效能分析.................. 28
1.2 不同量化參數下的不同factor 編碼效能分析.................. 30
2 區域基礎對於不同搜索區域大小的影響................................ 34
2.1 固定量化參數下的不同搜索區域大小編碼效能分析..... 35
2.2 不同量化參數下的不同搜索區域大小編碼效能分析..... 36
3 全零區塊對於不同臨界值的影響............................................ 40
3.1 固定量化參數下的不同臨界值編碼效能分析................. 40
3.2 不同量化參數下的不同臨界值編碼效能分析................. 41
4 單調遞增對於提前偵測的影響................................................ 45
4.1 固定量化參數下的提前偵測編碼效能分析..................... 45
4.2 不同量化參數下的提前偵測編碼效能分析..................... 47
第四章 可調適多幅參考畫面移動估計......................................................... 51
1 可調適選擇性多幅參考畫面移動估計.................................... 54
2 可調適區域基礎演算法............................................................ 58
3 可調適全零區塊演算法............................................................ 62
4 可調適單調遞增演算法............................................................ 66
5 合併可調適演算法效能分析.................................................... 70
6 效能分析.................................................................................... 70
6.1 環境參數設定..................................................................... 70
6.2 固定量化參數下之編碼效能比較..................................... 70
6.3 不同量化參數下之編碼效能比較..................................... 73
第五章 結論及未來展望................................................................................. 77
參考文獻........................................................................................................... 78

                                

【1】“Coding of moving pictures and associated audio for
digital storage media at up to about 1.5 Mbits/s,”
ISO/IEC 1117-2: video (MPEG-1),November, 1991.
【2】“Generic coding of moving pictures and associated
audio information,”ISO/IEC 13818-2: video (MPEG-2),
May 1996.
【3】ITU-T/SG 16/VCEG, video codec test model long term
number8(TML-8)”.doc, VCEG-N10, July 2001.
【4】“Coding of audio-visual objects - part 2: visual,”
in ISO/IEC 14496-2(MPEG-4 Visual Version 1), Apr.
1999.
【5】“Video codec for audio visual services at px64
kbits/s,” ITU-T recommendation H.261, 1990.
【6】“Video coding for low bit rate communication,
version 1,” ITU-T recommendation H.263, 1995.
【7】“Draft ITU-T recommendation and final draft
international standard of joint video specification
(ITU-T Rec. H.264 | ISO/IEC 144496-10 AVC),” Joint
Video Team of ISO/IEC and ITU-T, March 2003.
【8】M. Ravasi, M. Mattavelli, and C. Clere, ”A
computational complexity comparison of MPEG4 and JVT
codecs,” joint video team (JVT) of ISO/IEC MPEG &
ITU-T VCEG, Austria, 22-26 July, 2002
【9】T. Wiegand, G.J Sullivan, G. Bjontegaard, and A.
Luthra, “Overview of the H.264/AVC video coding
standard,” IEEE Trans. Circuits Syst. Video
Technol., vol. 13, no. 7, pp. 560-576, July 2003.
【10】Y.W Huang, B.Y Hsieh, S.Y Chien, S.Y Ma, and L.G
Chen,“Analysis and complexity reduction of multiple
reference frames motion estimation in H.264/AVC,”
IEEE Trans. Circuits Syst. Video Technol., vol. 16,
no. 7, pp. 507-522, April 2006.
【11】Y. Su, and M.T Sun, “Fast multiple reference frame
motion estimation for H.264/AVC,” IEEE Trans.
Circuits Syst. Video Technol., Vol. 16,pp.447-452,
March 2006.
【12】M.J Chen, Y.Y Chiang, H.J Li, and M.C Chi,
“Efficient multi-frame motion estimation algorithm
for MPEG-4 AVC/JVT/H.264,” in Proc.IEEE ISCAS,
vol.3, pp. III-737-40, May 2004.
【13】Y.M Lee, and Y. Lin, “An improved zero-block mode
decision algorithm for H.264/AVC,” in Proc. IEEE
ICIP, vol. 5, pp.V-293-296,Sept.2007.
【14】D. Wu, F. Pan, K.P Lim, S. Wu, Z.G Li, X. Lin, S.
Rahardja, and C.C Ko, “Fast intermode decision in
H.264/AVC video coding,” IEEE Trans. Circuits Syst.
Video Technol., vol.15, no. 6, pp. 953-958, July
2005.
【15】H. Zhu, C.G Wu, Y. L Wang, and Y. Fang, “Fast mode
decision for H.264/AVC based on macroblock
correlation,” in Proc. IEEE AINA,vol. 1, March
2005, pp. 775–780.
【16】H.264/AVC reference software JM12.2, [online].
available: http://iphome.hhi.de/suehring/tml/
【17】Y.H Moon, G.Y Kim, and J.H Kim, ”An improved early
detection algorithm for all-zero blocks in H.264
video encoding,” IEEE Trans.Circuits Syst. Video
Technol., vol. 15, pp. 1053–1057, Aug. 2005.
【18】L. Yang, K. Yu, J. Li, and S. Li, “An effective
variable block-size early termination algorithm for
H.264 video coding,” IEEE Trans.Circuits Syst.
Video Technol, vol. 15, pp.784-788, June 2005.
【19】X. Jing, and L.P Chau, “An efficient inter mode
decision approach for H.264 video coding,” in Proc.
IEEE ICME, July 2004, pp. 1111-1114.
【20】N. Khan, S. Masud, A. Ahmad, and M.A Maud,
“Efficient scheme for motion estimation and block
size mode selection in H.264,” in Proc.IEEE ISCIT,
vol. 2 pp. 747-751, Oct. 2004.
【21】A. Ahmad, N. Khan, S. Masud, and M.A Maud,
“Selection of variable block sizes in H.264,” in
Proc. IEEE ICASSP, vol. 3, pp.173-176 May 2004.
【22】L.Q Shen, Z. Liu, Z.Y Zhang, and X. Shi, “An
adaptive and fast H.264 multi-frame selection
algorithm based on information from previous
searches,” in Proc. IEEE ICME, pp. 1591-1594, July
2007.
【23】Y.M Lee, Y.F Wang, J.R Wang, and Y. Lin, “An
adaptive and efficient selective multiple reference
frames motion estimation for H.264 video coding,”
in Proc. PSIVT 2009, LNCS, vol. 5414, pp. 509-518.
Springer,Heidelberg (2009)

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