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研究生：	謝承祖 Xie, Cheng-Zu
論文名稱：	一混合動態補償的FGS MPEG-4 的編碼方法 A Hybrid Motion Compensation Method for Fine Granularity Scalability
指導教授：	陳進興 Chen, Chin-Hsing
學位類別：	碩士 Master
系所名稱：	電機資訊學院 - 電機工程學系 Department of Electrical Engineering
論文出版年：	2003
畢業學年度：	91
語文別：	英文
論文頁數：	81
中文關鍵詞：	尺度可調
外文關鍵詞：	MPEG-4, scalability
相關次數：	點閱：56 下載：1
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現今多媒體在網路傳輸上已有許多實際應用，所以在影像資料傳輸時我們非常需要一高品質編碼器。為了因應現今網路頻寬非固定的特性，MPEG-4提出了一細顆粒尺度可調(FGS)的編碼架構。

FGS的目的是達到比現存編碼方法更好的R-D曲線。為了得到好的錯誤回復能力，FGS犧牲了一些編碼效率。本篇論文以single-loop MC-FGS為基礎提出了一個robust single-loop MC-FGS (RSL MC-FGS) 的視訊編碼架構。在RSL MC_FGS中，我們使用了leaky prediction去控制single-loop MC-FGS在低位元率下所可能產生的預測錯誤。另外依據畫面間的相關性來決定動作補償中所需要的bit-plane數。

實驗結果顯示，我們的方法在低位元率下較single-loop MC-FGS優 0.7-1.1 dB；和基本的FGS比較，在高位元率下，我們的方法提升了1-1.3 dB。

Since multimedia has found many applications in internet, high quality video coders are highly demanded. The MPEG-4 recently adopted a scalability structure characterized by a DCT motion compensation base-layer and a fine granular scalable enhancement-layer. This is called the fine-granularity scalability (FGS).

The basic concept of the MPEG-4 basic FGS was to achieve better R-D curve over then existing coding techniques when transmitting over the varying bandwidth network. When the basic FGS achieves the perfect robust resilience, it also losses the coding efficiency. In this thesis, we propose the robust single-loop motion compensation FGS (RSL MC-FGS) to explore the advantage of the single-loop motion compensation FGS to compensate the basic FGS coding insufficiency and use the leaky prediction to control the drift due to the unequal reference between the encoder and the decoder. Besides, temporal coefficient is employed to determine the number of bit-planes used in MC.

Experiments show that the performance of our method is 0.7-1.1 dB higher than the single-loop MC-FGS at low bit-rate and 1-1.3 dB higher than the basic FGS at high bit-rate.

Abstract     	

Contents     	I

Figure Captions    	IV

Table Captions    	VIII

Chapter 1	Introduction     	1
	1.1	Recent Works      	1
	1.2	Thesis Organization 	3
Chapter 2	Overview of Layered Scalability	5
	2.1	Concepts of Network Video Coding	6
	2.2	Non-Scalable Coding Technique	8
     	2.2.1 Discrete Cosine Transform	9
     	2.2.2 Quantization	10
     	2.2.3 Motion Compensation	11
     	2.2.4 Motion Estimation	11
	2.3 The Layered Scalability Coding Techniques	12
     	    2.3.1 The Temporal Scalability	                12
      	    2.3.2 The Spatial Scalability	                13
            2.3.3 The Signal-to-Noise (SNR) Scalability	        16
      	       2.3.3.1 Single-Loop Codec in SNR Scalability	16
       	       2.3.3.2 Two-Loop Codec in SNR Scalability	18
	2.4 Conclusion	20
Chapter 3	The Fine Granularity Scalability in MPEG-4	21
	3.1 The Concept of MPEG-4 FGS	21
	3.2 MPEG-4 FGS Scalability Coding	24       	
             3.2.1 Bit-Plane Coding	24
    	     3.2.2 The Codec of the FGS Scalability	27
    	     3.2.3 The Advanced Features in FGS Scalability	29
     	         3.2.3.1 Frequency Weighting	29
     	         3.2.3.2 Selective Enhacement	31
    	     3.2.4 The Temporal Scalability	32
    	     3.2.5 FGS Error Resilience	35
	3.3 The Bitstream Structure of MPEG-4 Video	35
    	     3.3.1 Visual Object Sequence	36
    	     3.3.2 Visual Object	        37
     	     3.3.3 Visual Object Layer	        38
    	     3.3.4 FGS Video Object Plane	40
   	     3.3.5 FGS Macroblock	        41
    	     3.3.6 FGS Block	                42
	3.4 Other Architectures Based on FGS	42
    	3.4.1 The Progressive FGS	43
   	3.4.2 The Motion Compensation FGS	46
    	3.4.2.1 The Two-Loop Motion Compensation FGS 
                 for B Frame	46
	3.4.2.2 The Single-Loop MC-FGS 	47
Chapter 4	The Proposed Robust Single-Loop Motion Compensation FGS	48
   	4.1 The Drift in FGS	48
  	4.2 Architecture of the Proposed Framework	50
   	4.3 Leaky Prediction	54
 	4.4 Determination of the Number of Bit Planes Used in MC	57
Chapter 5	Simulation Results and Conclusions…………………63
	5.1	Configuration Setting	63
	5.2	Simulation Results	65
	5.3	Conclusions 	75
	5.4	Future Work	77
References	78
                                    

[1] F. Wu, S. Li and Y. –Q. Zhang “A framework for efficient progressive fine granularity scalable video coding” IEEE Trans. on Circuits and Systems for Video Technology, Vol. 11, pp. 332-344, No. 3, pp. 332-344, March 2001

[2] H. Radha, M. van der Schaar and Y. Chen “The MPEG-4 fine-grained scalable video coding method for multimedia streaming over IP” IEEE Trans. Multimedia, Vol. 3, pp. 53-67, March 2001

[3] R. Aravind, M. R. Civanlar, and A. R. Reibman “Packet loss resilience of MPEG-2 scalable video coding algorithm” IEEE Trans. on Circuits and Systems for Video Technology, Vol. 6, pp. 372-375, No. 5, October 1996

[4] John F. Arnold, Michael R. Frater and Yaqiang Wang “Efficient drift-free signal to noise ratio scalability” IEEE Trans. on Circuits and Systems for Video Technology. Vol. 10, No. 1, pp. 70-82, February 2000

[5] A. R. Reibman and L. Bottou “Managing drift in a DCT-based scalable video encoder” Data Compression Conference, 2001. Proceedings. DCC 2001. pp. 351-360, March 2001.

[6] R. Zhang, S. I. Regunachan and K. Rose “Video coding with optimal inter/intra mode switching for packet loss resilience” IEEE Journal on Selected Aveas in Communications, vol. 18, No. 6., pp. 966-976, June 2000

[7] M. Radha, Y.chen, K. Parhasarathy, and R.Cohen, “Scalable internet video using MPEG-4” Signal Process.: Image Communication, vol. 15, pp. 95-126, Sept. 1999.

[8] Weiping. Li “Overview of fine granularity scalability in MPEG-4 video standard” IEEE Trans. on Circuits and Systems for Video Technology, Vol. 11, No. 3, pp. 301-317, March 2001

[9] 戴顯權 “資料壓縮” 紳藍出版社 2001

[10] Coding of Audio-Visual Objects, Part-2 Visual, December. 1998. ISO/IEC 14496-2

[11] M. Domanski, A. Luczak and S. Mackowiak “Spatial-temporal scalability for MPEG video coding” IEEE Trans. on Circuits and Systems for Video Technology, Vol. 10, No. 7, pp. 1088-1093, October 2000

[12] Hiryuki Katata, Norio Ito and Hiroshi Kusao “Temporal-scalable coding based on image content” IEEE Trans. on Circuits and Systems for Video Technology, Vol. 7, No. 1, pp. 52-59, February 1997

[13] D.Wilson and M. Ghanbari “ Exploiting interlayer correlation of SNR scalable video” IEEE Trans. on Circuits and Systems for Video Technology, Vol. 9, pp. 783-797, September 1999

[14] M.Ghanbari and J. Azari “Effect of bit rate variation of the base layer on the performance of two-layer video codecs” IEEE Trans. on Circuits and Systems for Video Technology, Vol. 10, pp. 8-17, October 2000

[15] Coding of Audio-Visual Objects. Part-2 Visual. Amendment 4: Streaming Video Profile, ISO/IEC 14496-2/FDAM4, July 2000.

[16] W. Li, F. Ling and H. Sun “Bitplane coding of DCT coefficients” ISO/IEC JTC1/SC29/WG11, M2691, October, 22, 1997.

[17] W. Li “Bit-plane coding of DCT coefficients for fine granularity scalability” ISO/IEC JTC1/SC29/WG11, M3988, October,1998.

[18] W. Li “ Fine granularity scalability using bit-plane coding of DCT coefficients” ISO/IEC JTC1/SC29/WG11, M4204, December 1, 1998

[19] F. Ling and X. Chen “Report on fine granularity scalability using bitplane coding” ISO/IEC JTC1/SC29/WG11, M4311, November, 1998

[20] H. Jiang and G. M. Thayer “Using frequency weighting in FGS bit-plane coding for nature video” ISO/IEC JTC1/SC29/WG11, M5489, December 1999

[21] W. Li “Frequency weighting for FGS” ISO/IEC JTC1/SC29/WG11, M5589, December 1999

[22] M. van der Schaar, H. Radha and Y. Chen “An all FGS solution for hybrid temporal-SNR scalability” ISO/IEC JTC1/SC29/WG11, M5552, December 1999

[23] R. Yan, F. Wu, S. Li and Y, -Q, Zhang “Error resilience methods in the FGS enhancement bitstream” ISO/IEC JTC1/SC29/WG11, M6207, July 2000

[24] “syntax of fine granularity scalability for video coding” ISO/IEC JTC1/SC29/WG11, M4792, July 1999

[25] M. van der Schaar and H. Radha “Motion compensation based fine-granular scalability (MC-FGS)” ISO/IEC JTC1/SC29/WG11, M6475, October 2000

[26] Coding of Audio-Visual Objects, ISO/IEC JTC1/SC29/WG11, N3908, January, 2001

[27] Hsiang-Chun Huang, Chung-Neng Wang and Tihao Chiang “A robust fine granularity scalability using trellis based predictive leak” Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on, Vol 3, Jun 2002

[28] Ghanbari, M and Seferidis, V “Efficient H.261-based two-layer video codecs for ATM networks” Circuits and Systems for Video Technology, IEEE Transactions on , Vol. 5, No. 2, Apr 1995

[29] Information Technology, ISO/IEC 13818-2. Generic coding of moving pictures and associated audio information: Video 1995.

[30] Lifeng Zhao, Jong Won Kim and Kuo, C.-C.J. “Constant quality rate control for streaming MPEG-4 FGS video” Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on, Vol. 4, pp. 544-547, May 2002

[31] van der Schaar, M. and Radha, H.; “Temporal-SNR rate-control for Fine-Granular Scalability” Image Processing, 2001. Proceedings. 2001 International Conference on , Vol. 2 pp. 1037-1040, Oct. 2001

校內：2006-07-29公開
校外：2006-07-29公開

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