研究生: |
李垂樺 Chui-Hua Lee |
---|---|
論文名稱: |
植基於GOP結構之錯誤容忍還原機制 Improved Error Resilient GOP Structure for Video Streaming |
指導教授: |
陳秋華
Chyou-hwa Chen 鍾國亮 Kuo-liang Chung |
口試委員: |
貝蘇章
none 陳宏銘 none 柳金章 none |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 資訊工程系 Department of Computer Science and Information Engineering |
論文出版年: | 2009 |
畢業學年度: | 97 |
語文別: | 英文 |
論文頁數: | 28 |
中文關鍵詞: | 受損影像 、二元樹結構 、錯誤蔓延 、錯誤容忍機制 、GOP 、inter-frame 、影像品質 |
外文關鍵詞: | damaged image frames, double-binary tree structure, error propagation, error resilient scheme, GOP, inter-frame, image quality |
相關次數: | 點閱:894 下載:1 |
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Yang先前為了減緩錯誤蔓延問題中受損之P-frame所影響的影像平均數量而提出一個有效的雙二元樹GOP結構。在這篇研究中,除了考慮受影響的影像平均數量外,我們也納入在此GOP結構中的品質系數作為考量。這篇論文提出一個改進過的樹結構。根據一些測試影像序列,模擬結果顯示我們提出改進過的樹結構在受影響的影像平均數量以及平均品質都比Yang提出的樹結構有更好的表現。
Currently, Yang et al. presented an efficient double–binary tree GOP (group of pictures) for alleviating the error propagation problem in terms of the average number of frames influenced by the damaged inter–frame (average number of FI for short). In this research, besides considering the average number of FI, we also takes the quality factor into account in the error resilient GOP structure. This thesis presents an improved error resilient tree
structure. Based on some testing video sequences, simulation results demonstrate that our proposed improved error resilient tree structure outperforms Yang et al.’s structure in terms of both the average number of FI and the average quality.
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