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研究生:邱志明
研究生(外文):Chiu, Chih-Ming
論文名稱:適用於無比率無線網路廣播的H.264可調式視訊編碼分層擷取與非均等抹除保護碼之共同設計
論文名稱(外文):Joint Design of H.264 SVC/MGS Encoding, Extraction and Unequal Erasure Protection for Rateless Wireless Broadcasting
指導教授:邵家健
指導教授(外文):Zao, John Kar-kin
學位類別:碩士
校院名稱:國立交通大學
系所名稱:資訊科學與工程研究所
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:100
語文別:英文
論文頁數:41
中文關鍵詞:可調式視訊編碼非均等抹除保護碼無比率通道編碼無線網路廣播位元流擷取
外文關鍵詞:Scalable video codingUEPRateless channel codeWireless broadcastingBitstream extraction
相關次數:
  • 被引用被引用:0
  • 點閱點閱:209
  • 評分評分:
  • 下載下載:4
  • 收藏至我的研究室書目清單書目收藏:0
此研究的目的在於針對可調式視訊編碼提供適當的分層擷取策略以及與其擷取層相對應的無比率非均等抹除保護碼的傳輸系統。由此產生的位元流無須重新壓縮即可用於損耗性廣播環境並可達到近似位元率-失真最佳化的效能。
在無線網路廣播環境中傳輸可調式視訊編碼位元流需要在網路傳輸層中實現非均等抹除保護來應付廣泛的畫面錯誤率,以確保在撥放影像畫面時能達到優雅化降級。
此篇論文中,我們提出了一個新的可調式視訊編碼位元率-失真最佳化的分層擷取與無比率非均等抹除保護碼之共同設計系統,用以實現可調式視訊編碼之無線廣播。透過分析可調式視訊編碼位元流實驗的結果,歸納出無比率非均等抹除保護碼的設計需求。同時我們建立一個以圖像群組為基底的位元率-失真最佳化之分層擷取模型。透過此模型,在給定某一非均等抹除保護碼效能下找出最佳的視訊分層擷取結果。

This study aims to supple¬ment Scalable Video Coding (SVC) with the proper ex¬traction of SVC-NAL units and the corresponding UEP channel coding of extracted layers, so that the resultant bit¬-streams can exhibit near-optimal rate-distortion perfor¬mance in lossy broad-casting environments without the need of re-encoding the SVC bit¬streams.
In this thesis, we propose a novel joint design system of SVC/MGS optimized rate-distortion extraction and Rateless UEP code to endow wireless SVC broadcasting. Through the analysis of SVC bit-streams, we obtained the design requirements of Rateless UEP code. And then we build a group of pictures (GOP) based rate-distortion optimized extraction model under a certain UEP code.

中文論文摘要 i
Abstract ii
Acknowledgement iii
Table of Contents iv
List of Figures vi
List of Tables viii
Chapter 1. Introduction 1
1.1. Objectives 1
1.2. Research Approach 1
1.3. Thesis Outline 2
Chapter 2. Backgrounds 3
2.1. Scalable Video Coding (SVC) 3
2.2. Optimized Rate-Distortion Bit-stream Extraction 6
Chapter 3. SVC/MGS Encoding Analysis 7
3.1. MGS Vectorization 7
3.2. MGS Layers 9
3.3. Analysis of SVC Bit-stream 11
Chapter 4. Rateless UEP Convolutional Code 12
4.1. UEP Convolutional Pre-Coder 12
4.2. Rateless LT Post-Coder 13
4.3. Combination of UEP Pre-Coder and LT Post-Coder 13
4.4. Rateless UEP Code Performance 14
Chapter 5. SVC/MGS Bitstream Extraction under UEP Protection 18
5.1. System Design 18
5.2. Rate-Distortion Based SVC Extraction 19
5.3. Rate-Distortion Estimation Model based on UEP Error Rates 20
5.4. Iterative Refinement Algorithm for Extraction of UEP Layers 24
Chapter 6. Experiment Results 27
6.1. Extraction patterns of Different Extraction Strategies 28
6.2. Performance of Different Extraction Strategies under UEP Protection 33
Chapter 7. Conclusion 40
7.1. Accomplishment 40
7.2. Future Work 40
References . 41
[1]T. Wiegand, G. Sllivan, J. Reichel, H. Schwarz, and M. Wien, “Joint Draft ITU-T Rec. H.264–ISO/IEC 14496-10/Amd.3 Scalable Video Coding,” ISO/IEC JTCI/SC29/WG11 and ITU-T SG16 Q.6, JVT-X201, July 2007.
[2]H. Schwarz, D. Marpe, and T. Wiegand, “Overview of the Scalable Video Coding Extension of the H.264/AVC Standard,” IEEE Int’l Conference on Image Processing (ICIP), October 2006.
[3]E. Maani, P. Pahalawatta, R. Berry, T. N. Pappas, and A. K. Katsag¬gelos, "Resource Allocation for Downlink Multiuser Video Trans¬mis¬sion over Wireless Lossy Networks," IEEE Trans. Image Process¬ing, 17(9):1663-1671, September 2008.
[4]H. Schwarz, D. Marpe, and T.Wiegand, Hierarchical B-pictures, Joint Video Team (JVT) of ISO-IEC MPEG &ITU-T VCEG, JVT-P014 Jul. 2005.
[5]I. Amonou, N. Cammas, S. Sylvain and S. Pateux. “Optimized Rate-Distortion Extraction with Quality Layers in Scalable Extension of H.264/AVC”. IEEE Trans. Circuits and Systems for Video Technology, 17(9):1186–1193, September 2007.
[6]E. Maani and A. K. Katsaggelos, “Unequal Error Protection for Robust Streaming of Scalable Video over Packet Lossy Networks”, IEEE Trans. Circuits and Systems for Video Technology, 20(5):407–416, March 2010.
[7]M. C. Lin, C. C. Lin and S. Lin, “Computer Search for Binary Cyclic UEP Codes of Odd Length Up to 65,” IEEE Trans. Inform. Theory, 34(4), 1990.
[8]C. H. Wang, M. C. Chiu, C. C. Chao, “On Unequal Error Protection of Convolutional Codes From an Algebraic Perspective”, IEEE Trans. Information Theory, 56(1):296–315, January 2010.
[9]M. Luby, “LT-codes,” ACM Symposium on Foundations of Computer Science (FOCS), 2002.

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