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研究生: 劉昇顯
Shen-hsien Liu
論文名稱: H.264快速畫面間零區塊模式決策與快速移動搜尋探討
Enhanced zero-block decision with fast motion search
指導教授: 林銀議
Yinyi Lin
口試委員:
學位類別: 碩士
Master
系所名稱: 資訊電機學院 - 通訊工程學系在職專班
Executive Master of Communication Engineering
畢業學年度: 98
語文別: 中文
論文頁數: 64
中文關鍵詞: 移動估計區塊模式決策H.264 視訊壓縮標準
外文關鍵詞: zero block, pattern, Inter-mode Decision, H.264 Coding
相關次數: 點閱:16下載:0
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  • H.264為了能夠達到好的壓縮效率,採用更複雜的編碼架構,使得編碼器的複雜度大幅提升,本論文主要是改善區塊決策與移動估計的部份。
    在此篇論文中,我們先回顧零區塊的特性與ZBD(zero-block mode decision)演算法,得知ZBD演算法適用於高量化參數及慢速影像,但是在低量化參數及複雜移動的影像上的表現有改進的空間,故提出以決策樣本取代零區塊數目的基於零區塊決策樣本的模式決策演算法,之後再加入移動預估加速的概念。實驗結果顯示我們所提出的方法在影像品質幾乎沒有失真的情況下,能有效降低編碼端的運算複雜度,也增進了在低量化參數及複雜移動的影像上的效能。


    H.264/AVC is the latest video coding standard. In order to achieve the highest coding efficiency, H.264 adopts complicated coding schemes, employing motion compensation with variable blocks sizes motion estimation, multiple reference frames motion estimation, de-blocking filter and integer transform, etc. Unfortunately, these features incur a considerable increase in encoder complexity, mainly regards to mode decision and motion estimation.
    In this paper, we first review the characteristics of zero blocks and ZBD (zero-block mode decision) algorithm, that algorithm is applicable to high QP and slow video, but in low QP and complex moving images, the performance has room for improvement. We proposed the enhanced zero-block decision algorithm that used pattern to replace ZB quantity to decide best mode. Then we add the concept of motion search speed up in this paper to improve performance. Experimental results show that our proposed method almost no distortion in the image quality of the case, the encoder can reduce the computing complexity, but also improves the quantitative parameters in the low and complex moving image.

    第一章 緒論 1.1 視訊壓縮標準簡介1 1.2 動機與目的2 1.3 論文架構3 第二章 回顧 H.264 之移動預估與區塊決策演算法 2.1 視訊壓縮標準簡介4 2.2 區塊決策與移動預估演算法6 2.2.1 畫面間的預測模式6 2.2.2 移動向量之預估8 2.2.3 位元率失真最佳化模型11 2.2.4 區塊模式決策13 2.3 4×4 零區塊下的區塊模式決策演算法16 2.3.1 4×4 零區塊說明16 2.3.2 環境参數設定21 2.3.3 4×4 零區塊下的區塊模式決策效能分析23 2.4 第三章基於 4×4 零區塊決策樣本的區塊模式決策演算法 3.1 4×4 零區塊下的區塊模式決策演算法的特性25 3.2 基於4×4 零區塊決策樣本的區塊模式決策演算 法說明 27 3.2.1 決策樣本的設定與決策流程27 3.3 效能分析40 3.3.1 固定量化參數下之編碼效能比較40 3.3.2 不同量化參數下之編碼效能比較43 3.4 結論48 第四章 增強 4×4 零區塊決策樣本的區塊模式決策演算法 4.1 移動預估加速的說明50 4.2 效能分析52 4.2.1 固定量化參數下之編碼效能比較52 4.2.2 不同量化參數下之編碼效能比較55 4.3 結論60 第五章 結論和未來展望 61 參考文獻63

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