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研究生:賴忠平
研究生(外文):Chung-Ping Lai
論文名稱:應用於階層式B畫面編碼之適應性畫面結構決策機制
論文名稱(外文):Adaptive Frame Structure Determination for Hierarchical B Frame Coding
指導教授:葉家宏葉家宏引用關係
指導教授(外文):Chia-Hung Yeh
學位類別:碩士
校院名稱:國立中山大學
系所名稱:電機工程學系研究所
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:2009
畢業學年度:97
語文別:英文
論文頁數:61
中文關鍵詞:適應性畫面群組結構視覺韻律可調式視訊編碼H.264/進階視訊編碼
外文關鍵詞:AGSSVCH.264/AVCVisual Rhythm
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可調式視訊編碼是以階層式雙向B畫面編碼為主要結構,為的是達成時間域的可調性以及更佳的編碼效率。一般而言,在每一個畫面群組中,畫面的內容變動能敘述畫面群組中的畫面在時間域中的變化狀態。因此,要如何決定視訊中的畫面群組大小是一個重要的問題。本論文將提出依照畫面內容複雜程度適應性選擇畫面群組的演算法,以階層式雙向B畫面預測的方式計算畫面之間的差異值,並且利用其資訊作為畫面群組大小決策的基準,如此一來我們可以得到一組合適的畫面群組。實驗數據中的位元率失真曲線顯示所提出的演算法與可調式視訊編碼內之階層式B畫面編碼比較之結果。
The hierarchical B picture coding is introduced into the extension of H.264/AVC in order to improve coding performance and provide temporal scalability as well. In general, coding performance is affected by the content variation in each GOP (Group of Picture). Therefore, the ways to determine the size of sun-GOP is a critical problem for video coding. In this thesis, the adaptive GOP structure determination scheme is proposed to select the appropriate sub-GOP size with content complexity consideration. We compute the frame difference by hierarchical B picture structure and use the information to be a basis of sub-GOP decision. Hence, we can get proper combination of sub-GOP. Experimental results show the RD curves that our proposed method compares with the fixed GOP setting in the existing hierarchical B picture coding of SVC.
CHAPTER 1 Introduction…………………………………………………1
1.1 Overview of Video Coding………………………………………………1
1.2 Overview of H.264/AVC Video Coding Standard………………………4
1.3 Motivation………………………………………………………………7
1.4 The Organization of the Thesis…………………………………………9
CHAPTER 2 Overview of Scalable Video Coding and Relevant Work…………10
2.1 Overview of Scalable Video Coding………………………………10
2.1.1 Spatial Scalability………………………………………………12
2.1.2 Temporal Scalability……………………………………………13
2.1.2 Quality Scalability…………………………………………………14
2.2 Inter-layer Prediction……………………………………………………16
2.2.1 Inter-Layer Motion Prediction…………………………………16
2.2.2 Inter-Layer Intra Prediction…………………………………18
2.2.3 Inter-Layer Residual Prediction…………19
2.3 Hierarchical B Picture…………………………………………………20
2.4 Relevant Works of adaptive GOP Structure Coding…………………22
2.4.1 Adaptive GOP Structure for SVC……………………………………22
2.4.2 Fast Prediction Algorithm of Adaptive GOP Structure for SVC……23
2.4.3 Fast Adaptive GOP Design for H.264/SVC…………………………25
2.4.4 Visual Rhythm………………………………………………………27
CHAPTER 3 Proposed Adaptive GOP Structure Coding……………32
3.1 Measurement of Video Variation by Frame Difference of Hierarchical
Structure …………………………………………………………………32
3.2 AGS Determination……………38
CHAPTER 4 Experimental Results………………………40
4.1 Testing Platform of Experimental Results………………40
4.2 Performance comparison…………………………………42
CHAPTER 5 Conclusions and Future Work……………………………………45
5.1 Conclusions……………………………………………………………45
5.2 Future Work………………………………………………………………46
Bibliography…………………………………………………………………………47
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