隨著近年來無線網路傳輸和多媒體影音壓縮技術的快速發展，透過無線網路即時傳輸影音資訊，將成為下一代通訊系統發展的新方向。然而由於使用無線傳輸媒介，使得無線網路具有頻寬較低及高遺失率(loss rate)等特性。此外多媒體視訊傳輸通常具有即時的時間限制，讓無線多媒體通訊系統設計更具挑戰性。
在叢集錯誤管道上對於可伸縮性視訊之傳輸，本論文提出一個適應性不等誤碼保護與封包長度之配置策略。我們發展出一個解析模型來評估管道位元錯誤率對於可伸縮性串流視訊畫質的影響。同時，所提出的視訊傳輸策略，結合適應性的封包長度配置與不等誤碼保護來增加點對點的視訊畫質。在叢集錯誤管道上，許多可伸縮性視訊傳輸的不同策略都將被拿來比較，而由模擬的結果顯示，論文中所提出的方法在變異性高的管道狀況中能達到較少且較平緩的畫質遞減。
再者，為了能因應許多視訊傳輸應用上對即時性的需求，此篇論文也提出了低時間複雜度之封包長度配置策略。而由測試的結果顯示，此方法相較於最佳化的方法雖犠牲了少許視訊畫質，但仍然能適應各種網路狀況而有較平順的畫質表現，而且相較於最佳化的方法，此策略更是大大降低了計算時間複雜度。

Based on the fast evolution of wireless networks and multimedia compression technologies in recent years, real-time multimedia transmission over wireless networks will be the next step for the implementation of contemporary communication system. Lower bandwidth and higher loss rate make wireless networks hard to transmit multimedia content than its wired counterpart. In addition, the common delay constraint from real-time multimedia transmission raises the challenges for the design of wireless communication system.
This dissertation proposes an adaptive unequal error protection (UEP) and packet size assignment scheme for scalable video transmission over a burst error channel. An analytic model is developed to evaluate the impact of channel bit-error-rate on the quality of streaming scalable video. A video transmission scheme, which combines the adaptive assignment of packet size with unequal error protection to increase the end-to-end video quality is proposed. Several distinct scalable video transmission schemes over burst-error channel have been compared, and the simulation results reveal that the proposed transmission schemes can react to varying channel conditions with less and smoother quality degradation.
Furthermore, in order to meet the real time need in many video transmission applications, this dissertation has proposed low time-complexity packet size assignment schemes. Meanwhile, from the test result, it can be seen that although this method has sacrificed a little bit video quality as compared to optimized method, yet it can adapt to all kinds of network situations and display smoother quality and performance. Moreover, as compared to optimized method, this strategy greatly reduces the calculation time-complexity.

LIST OF FIGURES III
LIST OF TABLES V
LIST OF SYMBOLS VI
CHAPTER 1 INTRODUCTION 1
1.1 OVERVIEW 1
1.2 THE CONTRIBUTIONS OF THIS DISSERTATION 5
CHAPTER 2 BACKGROUND 8
2.1 REAL-TIME STREAMING SERVICE 8
2.1.1 TECHNIQUE OF REAL TIME STREAMING VIDEO 9
2.1.2 MPEG-4 FGS VIDEO COMPRESSION TECHNIQUE AND FEATURES 11
2.2 ERROR CONTROL 17
2.2.1 FEC 18
2.2.2 DELAY-CONSTRAINED RETRANSMISSION 20
2.2.3 ERROR-RESILIENT ENCODING 21
2.2.4 ERROR CONCEALMENT 23
2.3 H.264 DATA PARTITIONING 24
2.3.1 NAL (NETWORK ABSTRACTION LAYER) 25
2.3.2 DATA PARTITIONING 26
2.4 PACKETIZATION SCHEME 28
2.4.1 BLOCK OF PACKETS (BOP) 28
2.4.2 ANALYTICAL MODEL OF UEP PERFORMANCE 30
CHAPTER 3 CHANNEL MODEL 33
3.1 ERRORS IN WIRELESS CHANNEL 34
3.2 GILBERT MODEL 36
3.3 PACKET LOSS PATTERNS 38
CHAPTER 4 OPTIMAL ADAPTIVE ASSIGNMENT SCHEMES 41
4.1 ADAPTIVE ASSIGNMENT SCHEME 43
4.1.1 AUEP (ADAPTIVE UEP) + FPS (FIXED PACKET SIZE) 44
4.1.2 FUEP (FIXED UEP) + APS (ADAPTIVE PACKET SIZE) 46
4.1.3 AUEP (ADAPTIVE UEP) + APS (ADAPTIVE PACKET SIZE) 49
4.2 SIMULATION RESULTS 51
4.2.1 AUEP (ADAPTIVE UEP) + FPS (FIXED PACKET SIZE) 53
4.2.2 FUEP (FIXED UEP) + APS (ADAPTIVE PACKET SIZE) 56
4.2.3 AUEP (ADAPTIVE UEP) + APS (ADAPTIVE PACKET SIZE) 58
CHAPTER 5 LOW-COMPLEXITY ADAPTIVE ASSIGNMENT SCHEMES 59
5.1 ADAPTIVE PACKET DATA SIZE (APDS) 61
5.2 ADAPTIVE PACKET SIZE FOR BOP (APSB) 65
5.3 ADAPTIVE UEP WITH REGRESSION ANALYSIS (AUEP-RA) 69
5.4 SIMULATION RESULTS 73
CHAPTER 6 CONCLUSIONS AND FUTURE WORKS 80
BIBLIOGRAPHY 82
APPENDIX A THE DEDUCTION OF ADAPTIVE PACKET DATA SIZE (APDS) 88

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