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研究生: 許芷菱
Chih-Ling Hsu
論文名稱: H.264 Error Concealment with some Hierarchical B-pictures Implementations
基於階層式B畫面的H.264錯誤修補
指導教授: 王家祥
Jia-Shung Wang
口試委員:
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 資訊工程學系
Computer Science
論文出版年: 2008
畢業學年度: 96
語文別: 英文
論文頁數: 50
中文關鍵詞: H.264錯誤修補階層式B畫面
外文關鍵詞: H.264, error concealment, Hierarchical B-pictures
相關次數: 點閱:3下載:0
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  • 當透過容易發生錯誤的網路傳送壓縮視頻時,由於頻道錯誤或擁塞的狀況發生時,封包可能會遺失。為了恢復遺失的資訊,錯誤修補(Error Concealment)是一種被廣泛使用的技術。本篇論文藉由改變GOP(Group of Pictures)中不同畫面間的編碼相依性來重建出一種新型的GOP結構。不同於一般的二元預測編碼,我們提出了一種新的支援錯誤回復(Error Resilience)功能的時域預測結構。在我們所提出的演算法中,在一個GOP中的所有畫面(frame)被劃分為奇數及偶數畫面,並且建立各別獨立的編碼相依性。如果在傳輸過程中發生封包遺失或封包損毀時,藉由現有大多數的錯誤修補技術都可以把損壞的畫面修補回來。舉例來說,利用以前或未來相鄰畫面的時域資訊,我們可以重建出相似的移動(motion)及像素資訊。此外,因畫面間的編碼相依性所造成的錯誤增值(Error Propagation)也會減少。另外,我們還使用了適應性GOP大小的機制,動態調整GOP的大小,以提高修補後畫面的品質。從實驗結果顯示,本篇論文所提出GOP結構,比起一般討論的二元預測編碼,我們可以提供至0.5dB的錯誤修補改善。


    中文摘要 I 致謝 II Abstract III Index of Contents IV Index of Figures VI Chapter 1. Introduction 1 Chapter 2. Related Work 5 2-1. GOP Structure for Error Resilience 5 2-2. Hierarchical Prediction Structures 7 2-3. Adaptive GOP Size Control 9 2-4. Data Partitioning in H.264/AVC 12 2-5. Error Concealment 14 2-5-1. Temporal Error Concealment 15 2-5-2. Spatial Error Concealment 16 2-5-3. Hybrid Error Concealment 18 Chapter 3. Restructuring GOP Model for Error Concealment 20 3-1. Restructuring Algorithms of GOP Model 20 3-2. Analysis of the proposed GOP structure 22 3-2-1. Error Concealment 22 3-2-2. Coding efficiency 24 3-3. Adaptive GOP size for improving coding efficiency 27 3-3-1. Motion vector similar test 27 3-3-2. Procedure of proposed adaptive GOP size 29 Chapter 4. Experimental Results 31 4-1. Error Concealment simulations 32 4-1-1. Proposed GOP structure efficiency 32 4-1-2. Adaptive GOP size performance 39 4-2. Rate-distortion comparisons without transmission errors 41 Chapter 5. Conclusions and Future Works 46 Chapter 6. References 48

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