低計算複雜度之 H.264/AVC 畫面跳張轉換編碼

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姓名

林成(Cheng Lin) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

低計算複雜度之 H.264/AVC 畫面跳張轉換編碼
(Low Computational Complexity Algorithm forH.264/AVC Video Frame-skipping Transcoding)

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摘要(中)

H.264/AVC 在多媒體裝置及網路應用上越來越重要，然而在不同網路
其傳輸頻寬不同下，如何使視訊串流滿足在不同頻寬是一個重要的問題。轉換編碼是其中一種可以克服此問題的技術。在本篇論文中使用畫面跳張轉換編碼將H.264 高位元率之視訊串流轉換編碼成H.264 低位元率之視訊串流，以適應不同頻寬限制。轉換編碼最直接的方法是不利用原始資訊幫助預測，而直接重新編碼，然而這樣會導致運算複雜度過高。若是直接將原始資訊再利用，雖然可以降低運算複雜度，但是編碼效能會大幅下降，所以我們利用原始資訊提出畫面跳張轉換編碼中階層式區塊模式決策與合成移動向量演算法以及多幅參考畫面選擇演算法，除了個別執行，更將三者合併。實驗結果顯示，演算法能在維持一定的畫面品質效能下，有效的加速轉換編碼時間。

摘要(英)

H.264/AVC supports many advanced compression techniques that can achieve better coding performance than the previous standards, and applications of H.264/AVC become popular and important in network multimedia services. However, because different networks might have different limitations of channel bandwidth, it is often needed to reduce the bit-rate of the coded video bit streams. Frame-skipping transcoding is one way to solve the problem. The most straightforward method for frame-skipping transcoding is to decode the video stream and re-encode the reconstructed video sequences after frame-skipping. Because H.264/AVC supports many advanced compression techniques, the computational complexity of the fully decoding and re-encoding process is extremely high.
If we prefer to reduce the computational complexity, reusing information existing in the original incoming video stream can achieve this goal. But the coding performance will decrease significantly. Therefore, we propose a hierarchical mode decision, motion vector composition and multiple reference frames selection, and then combine with them for frame-skipping transcoding. The experimental results show that our proposed algorithms can maintain the coding performance and speed up transcoding process simultaneously.

關鍵字(中)

★ 多幅參考畫面
★ 合成移動向量
★ 區塊模式決策
★ 畫面跳張轉換編碼
★ H.264/AVC視訊編碼

關鍵字(英)

★ H.264/AVC video coding
★ frame-skipping transcoding
★ mode decision
★ motion vector composition
★ multiple reference frame

論文目次

第一章緒論
1.1 H.264 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 H.264 基本原理及視訊轉換編碼器介紹
2.1 H.264 視訊編碼系統簡介5
2.1.1 畫面間(Inter)預測模式6
a. 可變區塊大小(variable block size)10
b. 非整數點移動向量(fractional motion estimation)11
c. 多幅參考畫面(multi-reference frame)12
2.1.2 畫面內(Intra)預測模式13
2.2 轉換編碼(Transcoding)系統簡介14
2.3 畫面跳張轉換編碼演算法文獻回顧17
第三章畫面跳張轉換編碼中區塊模式決策演算法
3.1 轉換編碼之旁資訊擷取20
3.2 區塊模式決策演算法文獻回顧23
3.3 階層式(Hierarchical)區塊模式決策演算法28
3.4 效能分析33
3.4.1 第一層至第二層效能33
3.4.2 第二層至第三層效能39
3.4.3 第三層至第四層效能45
3.4.4 綜合效能51
3.5 結論53
第四章畫面跳張轉換編碼中移動估測決策演算法
4.1 移動估測演算法文獻回顧54
4.2 合成移動向量之區域搜尋(zonal search)演算法58
4.3 綜合效能分析74
4.4 結論80
第五章移動估測之多幅參考畫面決策
5.1 相鄰多幅參考畫面選擇演算法81
5.2 效能分析83
5.3 結論86
第六章綜合效能與結論
6.1 綜合效能分析87
6.2 結論91
參考文獻

參考文獻

【1】“Generic coding of moving pictures and associated audio information,”ISO/IEC 13818-2: Video (MPEG-2), May 1996.
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【9】J. H. Jiang, Studying of Frame Skipping Transcoding for H.264, NCU, Taiwan, Jun. 2010.
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【11】J. Youn, M. T. Sun and C. W. Lin, “Motion vector refinement for high-performance transcoding,” IEEE Transactions on Multimedia, vol. 1, no. 1, pp. 30-40, Mar. 1999.
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Feb. 2004.
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【15】M. J. Chen, M. C. Chu and C. W. Pan, “Efficient motion estimation algorithm for reduced frame-rate video transcoder,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 12, no. 4, pp. 269-275, Apr. 2002.
【16 】W. J. Lee and W. J. Ho, “Adaptive frame-skipping for video transcoding,” Proceedings of IEEE International Conference on Image Processing, Sep. 2003, vol. 1, pp. I-165-8.
【17】J. Youn and M. T. Sun, “Motion estimation for high performance transcoding,” Proceedings of IEEE International Conference on Consumer Electronics, Jun. 1998, pp. 136-137.
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【22】Joint Video Team software JM12.2
http://iphome.hhi.de/suehring/tml/download/
【23】G. Bjontegaard, “Calculation of average PSNR difference between RD curves”, ITU-T Q.6/16, Doc. VCEG-M33, Apr. 2001.

指導教授

林銀議(Yinyi Lin)

審核日期

2012-2-29

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