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研究生: 黃梓晃
Tzu-huang Huang
論文名稱: 植基於可調式估計架構的混合式錯誤回復演算法
Efficient Hybrid Error Concealment Algorithm Based on Adaptive Estimation Scheme
指導教授: 鍾國亮
Kuo-Liang Chung
口試委員: 貝蘇章
Soo-Chang Pei
蔡明忠
Ming-Jong Tsai
學位類別: 碩士
Master
系所名稱: 工程學院 - 自動化及控制研究所
Graduate Institute of Automation and Control
論文出版年: 2006
畢業學年度: 94
語文別: 英文
論文頁數: 24
中文關鍵詞: 質心分群錯誤回復第一階導數平面移動向量
外文關鍵詞: Centroid, Cluster, Error concealment, First-order plane, Motion vector
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  • 視訊傳輸在多媒體通訊上扮演著一個很重要的角色,由於傳輸時會發生錯誤,使得強健的視訊傳輸在提供較佳的服務品質方面變得越來越重要。依據我們所提出新的可調式估計架構,這篇論文在強健的視訊傳輸方面發表了一個有效的混合式錯誤回復演算法。利用在受損區塊的鄰近區塊的資訊,受損區塊會被分為三種類型。依據受損區塊的類型,我們所提出的可調式估計架構可以採用Bzier曲面估計、第一階導數平面估計、或是較大群質心估計有效地回復受損的區塊。依據六種測試用視訊影像串列,實驗結果證明我們所提出的混合式錯誤回復演算法可以在不同的錯誤率下改進視訊品質與執行時間。


    Video transmission plays an important role in multimedia communication. Due to transmission error, robust video transmission has become increasingly important in providing better quality of services. Based on our proposed novel adaptive estimation scheme, this thesis presents an efficient hybrid error concealment algorithm for robust video transmission. Using the information of neighboring
    macroblocks (MBs) of the corrupted MBs, the corrupted MBs are classified into three types. According to the type of the corrupted MB, our proposed adaptive estimation scheme could adopt the Bzier surface estimation, the first-order plane estimation, or the centroid of major cluster estimation to conceal the corrupted MB efficiently. Based on six testing video sequences, experimental
    results demonstrate that our proposed hybrid error concealment algorithm can improve the video quality and the execution-time performance over different lost rates.

    1 Introduction 1 2 The Past Work by Zheng and Chau 4 3 Our Proposed Hybrid Error Concealment Algorithm 7 3.1 Classifying Corrupted MBs into Three Types 7 3.2 Bezier surface estimation 10 3.3 The Proposed HEC Algorithm 13 4 Experimental Results 16 5 Conclusions 21

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