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研究生:謝其璋
研究生(外文):Chi-Chung Hsieh
論文名稱:H.264/AVC中一種B畫面的模式決策及移動估測之研究
論文名稱(外文):An Efficient Mode Decision and Motion Estimation for B Slice in H.264/AVC
指導教授:林銀議
指導教授(外文):Yinyi Lin
學位類別:碩士
校院名稱:國立中央大學
系所名稱:通訊工程研究所
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:2011
畢業學年度:99
語文別:中文
論文頁數:114
中文關鍵詞:區塊模式決策H.264/AVC移動估測零區塊編碼區塊樣式B畫面帶狀搜尋
外文關鍵詞:H.264/AVCB slicezonal searchcoding block patternzero-blockmotion estimationblock mode decision
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相較於過往的視訊壓縮標準,H.264/AVC 能提供更好得視訊品質與編
碼效能,最主要的原因在於其採用了許多先進的技術,像可變區塊大小的
移動估測,但在此同時,計算複雜度亦會無法提升至無法令人接受的地
步,過往已經有許多高效率的演算法是針對P 畫面編碼以降低其計算複雜
度,卻沒有文獻在探討B 畫面與P 畫面的差異,基於此原因,本論文中我
們將針對B 畫面編碼以提出高效率的模式決策機制來加速B 畫面的編碼,
除此之外,我們亦提出了一種高效率移動估測演算法來再次的節省編碼時
間,實驗結果顯示,比起傳統的B 畫面編碼,我們所提出的演算法不但可
以在節省計算複雜度的同時亦能增加編碼的效能。
H.264/AVC achieves significantly better coding performance, compared to
revious video coding standard. This is because that many advanced techniques
are employed in H.264/AVC, such as variable block sizes motion estimation.
Therefore, the computation complexity is unbearable. Many efficient
algorithms have been proposed for P frame coding to reduce the computation
complexity. In this thesis, we focus on B frame coding and propose efficient
mode decision scheme to speed up the B frame coding. In addition, an efficient
motion estimation algorithm, has been proposed to further reduce the coding
time. The experimental results show that our proposed algorithm can reduce the
computation complexity while improving the coding performance, when
compared to original B frame coding scheme.
第一章 緒論
1.1 視訊壓縮標準簡介 1
1.2 研究動機與目的 2
1.3 論文架構 3

第二章 文獻探討以及相關演算法簡介
2.1 H.264/AVC簡介
2.1.1 H.264/AVC先進技術介紹 7
2.1.2 直接模式決策 10
2.2 絕對預測誤差和演算法文獻探討 14
2.3 結論 25

第三章 B畫面中零區塊模式決策演算法之研究
3.1 快速模式決策演算法文獻回顧 26
3.2 B畫面中零區塊模式決策演算法之探討
3.2.1 零區塊演算法統計分析 28
3.2.2 零區塊演算法綜合效能比較 45
3.3 改良型零區塊模式決策演算法
3.3.1 相關統計分析 48
3.3.2 演算法流程圖 50
3.3.3 效能分析 52
3.4 高效率零區塊模式決策演算法
3.4.1 演算法統計分析 53
3.4.2 演算法流程圖 56
3.4.3 效能分析 58
3.5 綜合效能分析與比較 60
3.6 結論 68

第四章 B畫面中移動估測演算法之研究
4.1 移動估測相關文獻回顧 71
4.2 移動估測於P畫面與B畫面之探討
4.2.1 移動估測於P畫面與B畫面之統計分析 73
4.2.2 移動估測於P畫面與B畫面下之效能分析 74
4.3 高效率移動估測演算法
4.3.1 演算法流程圖 81
4.3.2 使用不同臨界值之效能分析 84
4.4 高效率移動估測演算法效能分析與比較 85
4.5 結合模式決策與移動估測綜合效能分析探討 93
4.6 結論 110

參考文獻 111
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