Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/7647
標題: 基於適應性動態補償時間濾波器之無失真視訊編碼系統
Lossless video coding system based on adaptive motion compensated temporal filtering
作者: 曾冠勛
Tseng, Kuan-Hsun
關鍵字: motion compensated temporal filtering;動態補償時間濾波器
出版社: 電機工程學系所
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Image Processing, vol. 8, no. 2, pp. 155-167, Feb. 1999. [8] Iain E. G. Richardson The Robert Gordon University, Aberdeen, UK “H.264 and MPEG-4 Video Compression” WILEY, 2004. [9] Heiko Schwarz, Detlev Marpe, and Thomas Wiegand,” Overview of the Scalable H.264/MPEG4-AVC Extension”, IEEE International Conference on Image Processing (ICIP''06), Atlanta, GA, USA, October 2006, Invited Paper. [10] Long Xu, Siwei Ma, Debin Zhao, Wen Gao,” Rate Control for Scalable Video Model”, Visual Communications and Image Processing 2005, Proc. of SPIE Vol. 5960, 525-534, 2005 [11] I. Daubechies and W. Sweldens, “Factoring wavelet transforms into lifting schemes, ” The J. of Fourier Analysis and Applications, Vol. 4,247-269, 1997. [12] C. Valens, “The Fast Lifting Wavelet Transform ” The Mindless company, 1999. 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ISO/IEC JTC1/WG11 MPEG04/M10569/S03, Munich, March 2004. [20] ISO/IEC JTC1, .Call for proposals on scalable video coding technology,. ISO/IEC JTC1/WG11 MPEG04/ M10569/S05, Munich, March 2004. [21] T. Kronander, ”Some aspects of perception based image coding ,” Ph.D. dissertation, Linkoping Univ, Sweden, 1989. [22] Shih-Ta Hsiang and J. W. Woods, Invertible three-dimensional analysis / synthesis system for video coding with half-pixel-accurate motion compensation," in Proc. VCIP''99, SPIE vol. 3653, Jan. 1999. [23] L. Luo, S. Li, Z. Zhuang, and Y.-Q. Zhang, “Motion compensated lifting wavelet and its application in video coding,” in Proceedings of the IEEE International Conference on Multimedia and Expo(ICME), Tokyo, Japan, Oct. 2001. [24] B. Girod and S. Han, “Lifting-Based Invertible Motion Adaptive Transform (LIMAT) Framework for Highly Scalable Video Compression,” IEEE Trans. Image Processing, vol. 12, no.12, Dec. 2003. [25] Iain E. G. Richardson The Robert Gordon University, Aberdeen, UK “H.264 and MPEG-4 Video Compression” WILEY, 2004. [26] Digital coding of waveforms :principles and applications to speechand video /N.S. Jayant, Peter Noll., Englewood Cliffs, N.J. :Prentice-Hall,c1984. [27] G. Calvagno, G. A. Mian, R. Rinaldo, “Computation of the coding gain for subband coders,”IEEE Trans. on Comm., vol.44, no. 4, Apr. 1996. [28] P. Chen and J.W.Woods, “Bidirectional MC-EZBC with lifting implementaion,” IEEE Trans. Circuits Syst. Video Techn, vol. 14, no. 10, Oct. 2004. [29] Jens-Rainer Ohma, Mihaela van der Schaarb, John W. Woods, “Interframe wavelet coding—motion picture representation for universal scalability, ”in ELSVIER signal processing: Image Communication 19 (2004) 877-908. [30] A. Secker and D. Taubman, “Motion-compensated highly scalable video compression using an adaptive 3D wavelet transform based on lifting,” in Proc. IEEE International Conference on Image Processing, 2001, pp. 1029–1032. [31] Gregoire Pau, Christophe Tillier, B_eatrice Pesquet-Popescu, Henk Heijmans, Motion Compensation and Scalability in Lifting-Based Video Coding. [32] J. Konrad, “Transversal versus lifting approach to motion-compensated temporal discrete wavelet transform of image sequence: equivalence and tradeoffs,”in Proc. SPIE Visual Comm. and Image Proc., vol. 5308, Jan. 2004. [33] Chao-Tsung Huang; Ching-Yeh Chen; Yi-Hau Chen; Liang-Gee Chen, “Memory analysis of VLSI architecture for 5/3 and 1/3 motion-compensated temporal filtering,”Vol. 5, Mar. 2005. [34] 參考網站http://tw.knowledge.yahoo.com/question/?qid=1105050703914 [35] Ching-Yei Chen, Shao-Yi Chen, Yu-Wen Huang, Tung-Chien Chen, Tu-Chih Wang, and Liang-Gee Chen, “Anlysis and Architecture Design of Variable Block-Size Motion Estimation for H.264/AVC,” IEEE Transactions on Circuits and Systems-in regular papers, vol. 53, no.2, February 2006.
摘要: 
本研究以小波轉換的架構為基礎,並結合時間濾波延動態軌跡的方式(MCTF - Motion Compensated Temporal filtering),時間域的相關性遠大於空間域的相關性,視訊編碼藉由動態補償來去除連續畫面間的冗餘(redundancies),大幅提升壓縮比,達到較佳的編碼效益。

本論文將以動態補償時間濾波器作為主軸,將針對無失真視訊編碼系統作為目標,以減少編碼量作為最主要的考量。藉由改善傳統1/3型式MCTF的高頻演算法,我們提出適應性1/3型式MCTF。在畫面之間的預測做出單向以及雙向預測的選擇,使得高頻預測上面能夠更接近目的畫素值,並且利用框內模式(intra mode)做補強,對於動態估測做不好的部分能夠有所改善,如此適應性1/3型式MCTF能減少高頻畫面所需編碼量,並且在傳統1/3型式MCTF所需傳送的雙向動態估測之動態向量做刪減,由於有單向,雙向預測以及框內模式之分,所需要的動態向量也有所不同,因此針對這點,我們能夠依據不同模式作動態向量的傳送,如此可以降低動態向量的編碼量。

This research is based on wavelet transform architecture and gathered with motion compensated temporal filtrting (MCTF). The correlation in temporal domain is more than in spatial domain. Video coding reduces the redundancies among contiguous frames by motion compensation. It raises the compression ratio and gets better coding performance.

In this paper, it will be based MCTF for the main shaft, aim at the lossless video coding system, and reduce the coding bits as our main goal. By the 1/3 MCTF high frequency algorithm, we bring up the adaptive 1/3 MCTF algorithm. We set the selections of uni-directional and bi-directional predictions among frames. It makes the prediction in high frequency more close to the current pixel value, and uses the intra mode as assist which improve the part where motion estimation did not well. So the adaptive 1/3 MCTF reduces the coding bits of the high frequency frame, and the coding bits of the bi-directional motion vectors which need be transmitted by traditional 1/3 MCTF. Because of the types of uni-directional, bi-directional prediction and intra mode, the needed motion vectors are different. Base on this point, we can transmit motion vectors depend on the different modes, so it can reduce the coding bits of motion vectors.
URI: http://hdl.handle.net/11455/7647
其他識別: U0005-2308200711535000
Appears in Collections:電機工程學系所

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