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研究生:吳泰廷
研究生(外文):Tai-Ting Wu
論文名稱:低複雜度空間紋理量測之高效率視訊編碼單位大小和模式快速決策方法
論文名稱(外文):A Low Complexity Spatial Texture Measurement for Fast CU Size Decision and Mode Decision in HEVC
指導教授:周承復
指導教授(外文):Cheng-Fu Chou
口試委員:林俊宏彭文孝林嘉文吳曉光
口試委員(外文):CHUN-HUNG RICHARD LINWen-Hsiao PengChia-Wen LinHsiao-Kuang Wu
口試日期:2014-08-11
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:資訊網路與多媒體研究所
學門:電算機學門
學類:網路學類
論文種類:學術論文
論文出版年:2014
畢業學年度:102
語文別:英文
論文頁數:46
中文關鍵詞:高效率視訊編碼影格內編碼影格間編碼影片內容複雜度四元樹架構
外文關鍵詞:High efficiency video coding (HEVC)inter-predictionmode decisiontexture complexityquadtree partition
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高效率視訊編碼是新一代的視訊壓縮標準.因為大量的新模式和四元樹的編碼單位架構,它能提供比前一代的標準大約兩倍的編碼效率,但是同時也使得計算複雜度大幅度上升。所以如何在幾乎不影響編碼效率的前提下,去減少計算複雜度是必須的。在我的論文中,根據影片內容複雜程度與否的特性在影格內編碼和影格間編碼提出了一個快速模式選擇方法。我首先分析了影片的內容複雜度跟模式選擇之間的關係,接著利用這個關係去進一步的加快編碼的速度。
在編碼效率只有微小下降的情況下,我所以提出的方法在影格內編碼可以節省最高53.4%,平均46.5%的編碼時間;在影格間編碼方面,我的方法可以節省最高38.6%, 平均31.2%的編碼時間。


Abstract— High Efficiency Video Coding (HEVC) [1] is a new video compression standard which reduces bitrate by half compared with H.264/AVC. But the computational complexity increases due to the quadtree based structure, which contributes to significant coding efficient improvement. As a result, reducing this complexity and maintaining negligible loss in bitrate and peak signal-to-noise (PSNR) simultaneously is a must. In this work, we design a fast mode decision scheme for inter and intra prediction in HEVC based on the texture complexity. We show that the relation between texture complexity and mode decision, then use this relation to speed up the encoding process.
The proposed scheme provides a decrease of up to 53.4% and by averagely 46.5% for intra coding, with negligible loss in bitrate and PSNR. On the other hand, the proposed scheme for inter coding also provides a decrease of up to 38.6% and by averagely 31.2% with negligible loss in bitrate and PSNR.


中文摘要 I
Abstract II
List of Figures IV
List of Tables V
Chapter 1. Introduction 1
Chapter 2. Background and Related Work 7
2.1 HEVC Encoder 7
2.2 Intra Prediction 8
2.3 Inter Prediction 10
2.4 Related Works 13
Chapter 3. Proposed Method 15
3.1 Texture Complexity Analysis 15
A. Intra Prediction 17
B. Inter Prediction 21
3.2 Proposed Method 25
A. Intra Prediction 25
B. Inter Prediction 29
Chapter 4. Experiment Results 33
4.1 Comparison Between the Proposed Method and HM 14.0 in Intra Coding 33
4.2 Comparison Between the Proposed Method and HM 14.0 in Inter Coding 36
4.3 Comparison Between the Proposed Method and Related Works 39
A. Intra Prediction 39
B. Inter prediction 40
4.4 Discussion 41
Chapter 5. Conclusion 44
References 45


[1]G. J. Sullivan, J.-R. Ohm, W.-J. Han, and T.Wiegand, ”Overview of the high efficiency video coding (HEVC) standard,” IEEE Transactions on Circuits and Systems for Video Technology, Special Issue on Emerging Research and Standards in Next Generation Video Coding, to appear 2012.12.
[2]ITU-T and ISO/IEC, “Advanced Video Coding for Generic Audiovisual Services,” ITU-T Rec. H.264 and ISO/IEC 14496-10, version 13, 2010.
[3]Il-Koo Kim et al.,”High Efficiency Video Coding (HEVC) Test Model 12 (HM12) Encoder Description”, in Document JCTVC-N1002, 14th JCT-VC Meeting, Vienna, AT, 25 July – 2 Aug. 2013.
[4]Liang Zhao, Li Zhang, Siwei Ma, Debin Zhao, “Fast Mode Decision Algorithm for Intra Prediction in HEVC.” Visual Communications and Image Processing (VCIP), IEEE, Tainan, 2011.
[5]R. H. Gweon and Y.-L. Lee, “Early termination of CU encoding to reduce HEVC complexity,” in Document JCTVC-F045, 6th JCT-VC Meeting, Torino, Italy (July 2011).
[6]K. Choi, S.-H Park, and E. S. Jang, “Coding tree pruning based CU early termination,” in Document JCTVC-F092, 6th JCT-VC Meeting, Torino, Italy (July 2011).
[7]J. Yang et al., “Early SKIP detection for HEVC,” in Document JCTVC-G543, 7th JCT-VC Meeting, Geneva, Switzerland (July 2011).
[8]L. Shen, Z. Liu, X. Zhang, W. Zhao, and Z. Zhang, “An Effective CU Size Decision method for HEVC Encoders,” IEEE Trans. Multimedia, vol. 15, no. 2, pp. 465–470, Feb. 2013.
[9]Guo-Yun Zhong, Xiao-Hai He, Lin-Bo Qing, Yuan Li, “Fast inter-mode decision algorithm for high-efficiency video coding based on similarity of coding unit segmentation and partition mode between two temporally adjacent frames”, Journal of Electronic Imaging, Apr-Jun 2013.
[10]T. Uchiyama, N. Mukawa, and H. Kaneko, “Estimation of homogeneous regions for segmentation of textured images,” in Proc. IEEE ICPR, 2000, pp. 1072–1075.
[11]X. W. Liu, D. L. Liang, and A. Srivastava, “Image segmentation using local spectral histograms,” in Proc. IEEE ICIP, 2001, pp. 70–73.
[12]Guifen Tian, Tianruo Zhang, Takeshi Ikenaga, Satoshi Goto, “A Block Type Decision Algorithm for H.264/AVC Intra Prediction Based on Entropy Feature”, IEEE Asia Pacific Conference on Circuits and Systems, Macao, China, Nov.2008.
[13]D. Wu, S. Wu, K. P. Lim, F. Pan, Z. G. Li, X. Lin, “Block INTER mode decision for fast encoding of H.264”, IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004. Proceedings.
[14]Yu-kun Lin. Tiansheuan Chang, “Fast Block Type Decision Algorithm for Intra Prediction in H.264/FRex,” IEEE internatianal conference on Image Processing, ICIP 2005, pp.585-588, Sep.2005
[15]L. Shen, Z. Zhang, and P. An, “Fast CU size decision and mode decision algorithm for HEVC intra coding,” IEEE Trans. Consumer Electronics, 207–213 (2013).


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