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研究生:賴韋均
研究生(外文):Lai, Weichun
論文名稱:針對在頻域上區塊式分散視訊系統之旁訊息產生器的動態補償
論文名稱(外文):Motion Compensation for Side Information Generator in Block-Based Transform Domain DVC System
指導教授:李昌明李昌明引用關係
指導教授(外文):Lee, Changming
口試委員:陳巽璋賴文能陳煥
口試日期:2011-07-27
學位類別:碩士
校院名稱:國立中正大學
系所名稱:通訊工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2011
畢業學年度:99
語文別:中文
論文頁數:77
中文關鍵詞:分散式視訊編碼
外文關鍵詞:DVC
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隨著多媒體應用的發展,出現監視系統、視訊會議等不同的需求,傳統的視訊編碼已不適用於這些低編碼成本的裝置上,為克服這類的問題,因而需要發展分散式視訊編碼。分散式視訊編碼可將編碼端的高複雜度運算移至解碼端,並將視訊分成Wyner-Ziv (WZ) Blocks與Intra Blocks兩種模式分別處理。因為解碼端會利用Intra Blocks的資訊產生Side Information幫助WZ Blocks解碼,所以Side Information的品質優劣對WZ解碼效能有很重要的影響。本篇論文將針對Transform-domain Block-based DVC架構提出兩種動態補償的方法來產生Side Information。第一種是使用動態補償內插 (Motion Compensation Interpolation,MCI) 的機制設計Side Information產生器,主要的概念為利用後一張Intra Block與前一時刻解碼影像間的動態預測獲得Side Information。第二種是使用動態補償外插 (Motion Compensation Extrapolation,MCE),利用解碼端的已解碼影像來預測動態並補償出Side Information。實驗結果顯示,使用MCI時不論是效能或是解碼速度均無明顯的提升;使用MCE雖會犧牲部分的效能表現,卻可降低系統的延遲,在區塊式視訊編碼的時域區塊群 (TGOB) 上限為10的架構下最多可減少12.24張Frames的系統延遲畫面。

With the development of multimedia applications, the needs of surveillance systems and video conferences are different from traditional system. These applications require low-complexity and low-cost encoding design. However, the traditional video coding algorithms seldom satisfy these needs. Recently, the Distributed video coding (DVC) is proposed to overcome these problems. DVC can shift the complexity from the encoder to the decoder. A video sequence is divided into Wyner-Ziv (WZ) blocks/frames and Intra ones. The decoder can generate the side information for WZ blocks with Intra blocks. In general, the quality of side information significantly affects the WZ coding efficiency. This study provides two kinds of motion compensation (MC) for the side information generation in the Transform-domain Block-based DVC architecture. First method is the interpolation of MC. The motion vectors of WZ blocks can be estimated by the previously decoded frame and following Intra blocks. The other is the extrapolation of MC. The motion vectors can be estimated by the previous decoded frames. The simulation results show that both schemes do not have obvious improvement for the Transform-domain Block-based DVC. However, the extrapolation scheme can reduce the system latency with slight degradation in the rate-distortion performance. The maximum reduction of coding delay can be 12.24 frames in Temporal Group of Block (TGOB) structure with upper bound 10 frames.

目錄
第一章 前言..................................... 1
1.1 研究動機.................................. 1
1.2 論文架構.................................. 2
第二章 傳統分散式視訊編碼架構....................... 3
2.1 基礎理論.................................. 3
2.1.1 Slepian-Wolf Theorem..................... 3
2.1.2 Wyner-Ziv Theorem........................ 7
2.2 Pixel-domain的DVC編碼架構.................. 9
2.2.1 Frame-based DVC.......................... 9
2.2.2 Block-based DVC.......................... 12
2.4 Transform-domain的量化.................... 17
2.5 通道編碼.................................. 21
2.5.1 WZ Frame Generator....................... 21
2.5.2 LDPCA碼.................................. 22
2.6 Side Information 產生器................... 25
2.6.1 Frame-based DVC的Side Information 產生器.. 25
2.6.2 Block-based DVC的Side Information 產生器.. 30
2.7 相關雜訊模型............................... 34
2.8 重建..................................... 35
第三章 Motion Compensation in Block-based DVC.. 37
3.1 MCI for Transform-domain Block-based DVC 37
3.2 MCE for Transform-domain Block-based DVC 41
第四章 模擬結果.................................. 44
4.1 Block-based DVC的MCI..................... 44
4.2 Block-based DVC的MCE..................... 49
第五章 結論與未來展望............................. 61
5.1 結論..................................... 61
5.2 未來展望.................................. 62
參考資料.......................................... 63
作者簡介.......................................... 67

[1]D. Slepian and J. K. Wolf, “Noiseless coding of correlated information sources,” IEEE Trans. on Information Theory, Vol. 19, No. 4, pp. 471-480, July 1973.
[2]D. Wyner and J. Ziv, “The rate-distortion function for source coding with side information at the decoder,” IEEE Trans. on Information Theory, Vol. 22, pp. 1-10, January 1976.
[3]Pier Luigi Dragotti and Michael Gastpar, Distributed Source Coding: Theory, Algorithm, and Application, ACADEMIC PRESS, San Diego, California, 1, 2009.
[4]A. Aaron, R. Zhang and B. Girod, “Wyner-Ziv coding of motion video,” 36th Asilomar Conf. on Signals, Systems and Computer, Pacific Grove, USA, November 2002.
[5]B. Girod, A. Aaron, S. Rane, D. Rebollo-Monedero, “Distributed video coding”, Proc. of IEEE, Vol. 93, No. 1, pp. 71-83, January 2005.
[6]A. Aaron, S. Rane, and B. Girod, “Transform-domain Wyner-Ziv codec for video,” Proc. of SPIE Visual Communications and Image Processing, Santa Clara, CA, January 2004.
[7]R. Puri and K. Ramchandran, “PRISM: A new robust video coding architecture based on distributed compression principles,” 40th Allerton Conference on Communication, Control, and Computing, Allerton, IL, October 2002.
[8]R. Puri, A. Majumdar, and K. Ramchandran, “PRISM: A video coding paradigm with motion estimation at the decoder,” IEEE Trans. on Image Processing, Vol. 16, No. 10, pp. 2436–2448, October 2007.
[9]X. Artigas, J. Ascenso, M. Dalai, S. Klomp, D. Kubasov, M. Ouaret, “The DISCOVER Codec: architecture, techniques and evaluation, in: Picture Coding Symposium, ” Lisbon, Portugal, November 2007.
[10]Dung-Chan Tsai, Chang-Ming Lee, Wen-Nung Lie, “Dynamic key block decision with spatio-temporal analysis for Wyner-Ziv video codec,” Proc. of IEEE Int’l Conf. on Image Processing, Vol. 6, pp. VI-425 - VI-428, November 2007.
[11]Chang-Ming Lee, Dung-Chan Tsai, Chi-Heng Chiang, Kuan-Liang Chen, Wen-Nung Lie, “Improved paradigms of block-based Wyner-Ziv video coding,” The 21th IPPR Conference on Computer Vision, Graphics, and Image Processing, Taiwan, 2008.
[12]C. Brites, J. Ascenso, F. Pereira, “Improving transform domain Wyner-Ziv video coding performance,” Proc. of IEEE Int’l Conf. on Acoustics, Speech, and Signal Processing, Toulouse, France, pp. 14-19, May, 2006.
[13]Catarina Brites, Joa˜o Ascenso, Jose’ Quintas Pedro, Fernando Pereira; “Evaluating a feedback channel based transform domain Wyner–Ziv video codec,” Signal Processing: Image Communication, Vol. 23, No. 4, pp. 269–297, April 2008.
[14]A. Aaron, D. Varodayan, and B. Girod, “Wyner-ziv residual coding of video,” Proc. of Picture Coding Symposium, April. 2006.
[15]R. Gallager, “Low-density parity-check codes,” IRE Trans. on Information Theory, Vol. IT-18, pp. 21–28, January 1962.
[16]D. Varodayan, A. Aaron, and B. Girod, “Rate-adaptive codes for distributed source coding,” EURASIP Signal Processing, Vol. 86, No. 11, pp. 3123-3130, November 2006.
[17]M. Dalai, R. Leonardi, F. Pereira, “Improving turbo codec integration in pixel-domain distributed video coding,” Proc. of IEEE Int’l Conf. on Acoustics, Speech, and Signal Processing, Toulouse, France, May 14-19, 2006.
[18]J. Ascenso, C. Brites, and F. Pereira, ” Improving frame interpolation with spatial motion smoothing for pixel domain distributed video coding,” Proc. of 5th EURASIP Conference on Speech and Image Processing, Multimedia Communications and Services, July, 2005.
[19]L. Natario, C. Brites, J. Ascenso, and F. Pereira, “Extrapolating side information for low-delay pixel-domain distributed video coding,” Proc. of the 9th International Workshop on Visual Content Processing and Representation, pp. 16–21, Sardinia, Italy, September 2005.
[20]陳冠良, 分散式視訊編碼之研究, 國立中正大學電機工程研究所碩士論文,July 2009.
[21]J. Ascenso, C. Brites, and F. Pereira, “Studying temporal correlation noise modeling for pixel based Wyner-Ziv video coding,” Image Processing, 2006 IEEE International Conf., pp.273 – 276, October 2006.
[22]C. Brites, F. Pereira, “Correlation noise modeling for efficient pixel and transform domain Wyner–Ziv video coding,” IEEE Trans. on Circuits and Systems for Video Technology, Vol. 18, No. 9, pp. 1177 - 1190, September 2008.
[23]D. Kubasov, J. Nayak, C. Guillemot, “Optimal reconstruction in Wyner-Ziv video coding with multiple side information,” IEEE 9th Workshop on Multimedia Signal Processing, No. 1-3, pp.183 - 186, October 2007.
[24]M.B. Badem, W.A.C. Fernando, J.L. Martinez and P. Cuenca, “An iterative side information refinement technique for transform domain distributed video coding,” Proc. of IEEE Int’l Conf. on Multimedia & Expo, New York, USA, June 2009.
[25]G. Sullivan and G. Bjontegaard, “Recommended simulation common conditions for H.26L coding efficiency experiments on low-resolution progressive-scan source material,” ITU-TVCEG, Doc. VCEG-N81. September 2001.
[26]J.X. Yang and H.R. Wu, “A Non-linear Post Filtering Method for Flicker Reduction in H.264/AVC Coded Video Sequences,” Proc. of 2008 10th IEEE Workshop on Multimedia Signal Processing, pp.181-186, Cairns, Australia, 2008.

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