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研究生:胡智豪
研究生(外文):Chih-hao Hu
論文名稱:手持式數位影像廣播系統中穩健影像品質控制之研究
論文名稱(外文):A Study of Robust Video Quality Control Scheme in Digital Video Broadcasting-Handheld (DVB-H) System
指導教授:郭致宏郭致宏引用關係
指導教授(外文):Chih-hung Huo
學位類別:碩士
校院名稱:國立成功大學
系所名稱:電機工程學系碩博士班
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:2007
畢業學年度:95
語文別:英文
論文頁數:86
外文關鍵詞:H.264Dynamic FECRDHTDVB-H
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本論文主要研究在手持式數位廣播系統中之影像品質控制。除了模擬系統物理層的效能之外,為了在一個有限頻寬的網路中控制影像品質並且減低計算的複雜度,我們還提出一個局部搜尋的演算法,此演算可以快速地得到在傳輸上最佳的封包排程以及適當的錯誤更正能力,以達到最佳的重建影像品質;系統是實行在手持式數位廣播系統 (DVB-H) 的連結層中,我們利用當影像的封包遺失所造成的影像
失真來決定封包的重要程度,而根據這些重要程度來決定當傳輸頻寬不夠時需要丟棄的封包,同時考慮所給予的錯誤更正能力,即考慮在連結層中錯誤更正碼的冗餘位元長度;在一個有限的傳輸頻寬中,當所給予的錯誤更正能力強時,雖然能讓錯誤率下降,但卻多浪費了頻寬,會使得所需要丟棄的封包變多;反之,給予的錯誤更正能力低,我們卻能傳輸更多原始影像的資料,使正確性提高,要怎麼在這兩者
間取得平衡而達到最佳化即本篇論文所要探討的。根據實驗的結果,本篇提出的局部搜尋演算所決定的封包排程以及錯誤更正碼的冗餘位元長度能使得影像經過通道後在解調端得到最佳的影像重建品質。
In this thesis, we focus on video quality control in Digital Video Broadcasting Handheld (DVB-H) system. In addition to the performance analysis of physical layer in
DVB-H, we propose a local search algorithm to control video quality in a constrained network. The algorithm helps to indicate both the optimal packet scheduling and the optimal error protection capability in an effective way. We adopt the packet importance to decide the optimal drop set. Moreover, the redundancy for error protection is also taken
into consideration. If the level of error protection is too high, it has to drop more video packets due to the limited channel capacity. On the contrary, if the level of error protection is little, correspondingly we could transmit more video packets to obtain a better reconstructed video quality at decoder side. The key contribution of this thesis is to achieve the best trade-off between these factors. Simulations using H.264/AVC video were conducted to evaluate the performance of the proposed scheme. The simulation results show that the packet schedule and the level of error protection selected from the local search achieve the optimal reconstructed video uality at decoder side.
中文摘要 I
ABSTRACT II
誌  謝 III
LIST OF TABLES VI
LIST OF FIGURES VII
Chapter 1  Introduction 1
1.1 Research Background 1
1.2 Research Motivation 3
1.3 Organization of Thesis 4
Chapter 2  Review of Data Transportation in DVB-H System 6
2.1 Forward Error Control Scheme in DVB-H 6
2.1.1 Dynamic FEC According to Channel Condition 6
2.1.2 Unequal Error Protection According to Packet Importance 7
2.1.3 Skills for Decapsulation and Decoding in Link Layer of DVB-H 9
2.2 Rate-Distortion Optimized Streaming Technique 9
2.3 Error Control Coding 11
2.3.1 Schemes about Complexity Reduction 11
2.3.2 JSCC for Different Forward Error Control Scheme 12
2.3.3 JSCC Schemes Based on Pre-Simulations 15
2.3.4 Particular R-D model in JSCC 17
2.3.5 Integrated JSCC 18
2.3.6 Previous Literature about Formulation of Expected Distortion 20
Chapter 3  DVB-H System and its Physical Layer Simulation 21
3.1 Overview of DVB-H System 21
3.1.1 Link Layer of DVB-H 23
3.1.1.1 Time-Slicing 23
3.1.1.2 MPE-FEC 24
3.1.2 Physical Layer of DVB-H 25
3.1.2.1 Transport Multiplex Adaptation and Randomization for Energy Dispersal 29
3.1.2.2 Outer Coder and Outer Interleaving 29
3.1.2.3 Inner Coding 30
3.1.2.4 Inner Interleaving 31
3.1.2.5 Signal Constellations and Mapping 31
3.1.2.6 OFDM Frame Structure 35
3.1.2.7 Reference Signal 36
3.2 Phsical Layer Simulation 37
3.2.1 Issues for Building the Simulation Model 38
3.2.2 Performance Analysis 49
Chapter 4  Robust Video Quality Control with Packet Scheduling on Link Layer of DVB-H System 53
4.1 Introduction 53
4.2 System Overview 57
4.3 Video Quality Control Mechanism 59 
4.3.1 Packet Schedule Based on RDHT 59
4.3.2 Dynamic Forward Error Correction 62
4.3.3 The Proposed Scheme & Computation of Expected Distortion 64
4.3.3.1 Computation of Expected Distortion 64
4.3.3.2 The Proposed Scheme 66
4.4 Experimental Results 72 
4.4.1 Experimental Environment & Parameters 72
4.4.4 Results 72
Chapter 5  Conclusions and Future Work 82
References  84
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[13]R. Hamzaoui, V. Stankovic, and Zixiang Xiong, “Fast algorithm for distortion-based error protection of embedded image codes,” IEEE Trans. Image Processing, vol. 14, Issue 10, pp.1417 – 1421, Oct. 2005.
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