臺灣博碩士論文加值系統

本論文主要探討如何在錯誤容易叢生的網路環境中，針對可調式 (scalable-video-coding; SVC) 視訊透過MD-FEC通道編碼進行調適控制。我們提出了一個以實驗為基礎的失真模型，然後用此模型做為參照，提出了一個快速的MD-FEC調適演算法，對SVC視訊提供必要的保護，以達到最佳的視訊感知品質。我們實驗了兩部擁有16個子層的H.264/SVC電影預告片，結果顯示，我們所提出的方法可以提供一個具經濟效益的失真參考，進行快速的MD-FEC調適。

This paper discusses how to adapt MD-FEC channel coding for scalable-video-coding (SVC) videos in a loss-burst channel. We propose an empirical loss distortion model and then use that model as a reference to design a fast MD-FEC adaption algorithm that provides necessary protection for SVC videos with goal of optimizing the perceptual video quality. We conduct simulation on two H.264/SVC movie trailers, each of them consisting of 16 layers. The results reveal that our model can provide a cost-effective distortion reference for MD-FEC to perform fast adaption.

摘要 i
謝誌 iii
目錄 iv
圖目錄 vi
表目錄 vii
第1章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的與方法 5
1.3 各章提要 7
第2章 文獻探討 8
2.1 聯合應用層之SVC視訊調適框架 8
2.2 Multiple-descriptor forward-error-correction (MD-FEC) 11
2.3 近似最佳交錯傳送法 (near-perfect interleaving scheme) 13
第3章 SVC視訊快速調適法 16
3.1 Level-Empirical-Loss-Distortion (LELD) 模型 16
3.2 品質累增模型 (Augmentative Quality Modeling；AQM) 18
3.3 MD-FEC快速調適方案 22
第4章 實驗結果與分析 27
4.1 模擬環境與測試樣本 27
4.2 LELD模型與MD-FEC配置 30
4.3 等級品質q(Fl)與編碼頻寬Bl 31
4.4 LELD模型效能分析 35
4.5 綜合討論 40
第5章 結論 42
參考文獻 43
附錄A：以Maleficent和Frozen為案例的各種LELD模型與MD-FEC配置表 46
附錄B：PSNR測量實驗說明 59
附錄C：H.264/SVC壓製參數設定方式 64
附錄D：(ki, mi)值與編碼後頻寬(Bl)值計算步驟說明 73
作者簡介 81

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