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研究生:傅冠儒
研究生(外文):Kuan-Ru Fu
論文名稱:植基於移動變化之適應性H.264畫面錯誤隱藏技術
論文名稱(外文):An Adaptive Frame-based Error Concealment Technique Based on Motion Variation for H.264/AVC
指導教授:林信鋒林信鋒引用關係
指導教授(外文):Shinfeng D. Lin
學位類別:碩士
校院名稱:國立東華大學
系所名稱:資訊工程學系
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:2011
畢業學年度:99
語文別:英文
論文頁數:51
中文關鍵詞:錯誤隱藏移動變化
外文關鍵詞:Error ConcealmentH.264/AVCMotion Variation
相關次數:
  • 被引用被引用:0
  • 點閱點閱:146
  • 評分評分:
  • 下載下載:19
  • 收藏至我的研究室書目清單書目收藏:0
由於多媒體應用和網路的快速發展,多媒體通訊變得越來越受歡迎。為了有利於網路傳輸,H.264/AVC編碼器通常把整張畫面的位元串流放進一個網路封包裡,因此視訊內容在容易出錯的傳輸通道中受到遺失或破壞,在解碼器中所解碼出來的視訊內容將會嚴重地降低視覺品質,為了避免這個問題發生,錯誤隱藏的方法被廣泛的用來回復遺失的畫面並防止錯誤傳播。在本篇論文中,我們提出一個植基於移動變化之適應性畫面錯誤隱藏技術,在我們所提出的技術中,首先利用複製移動向量的方法回復屬於低變動的巨區塊,而錯誤區域改善的演算法將被用來進一步改善回復的品質。實驗結果顯示我們所提出的畫面錯誤隱藏技術比其他方法更好,不僅僅能完成有意義的客觀品質的數據與主觀品質的改善,更能在即時的環境下應用本篇論文所提出的技術。
Owing to the rapid development of multimedia applications and networks, the multimedia communication has become more and more popular. To benefit the network transmission, H.264/AVC encoder usually codes the whole frame into single packet. Therefore, if video contents suffer from the packet loss in error-prone transmission channel, the visual quality will seriously degrade in decoder. To deal with this problem, error concealment method is widely utilized to recover the lost frame and prevent the error propagation. In this thesis, we propose an adaptive frame-based error concealment technique based on motion variation for H.264/AVC. In the proposed technique, if the macroblock belongs to low motion variation, the motion copy method will be adopted. Otherwise, the error-region improving algorithm will be adopted to further improve the recovery result. Experimental results show that the proposed frame-based error concealment technique is more efficient than well-known methods. It can not only achieve significant PSNR, but also be implemented in real-time.
Chapter 1 Introduction 1
1.1. Motivation 2
1.2. Contributions 3
1.3. Thesis Organization 4
Chapter 2 Background 5
2.1. H.264/AVC Standard 5
2.2. Alleviation of Error Occurrence 9
2.3. The Packet Type of Error Concealment 9
Chapter 3 Related Works 13
3.1. Frame Copy 13
3.2. Motion Copy 14
3.3. Hybrid Motion Vector Extrapolation 15
3.4. Recursive Motion Vector Refinement 18
Chapter 4 The Proposed Frame-based Error Concealment Technique 24
4.1. Preliminary Analysis 24
4.2. The Proposed Technique 26
4.2.1. Classification of Macroblocks 27
4.2.2. Low-motion-variation Macroblock Processing 27
4.2.3. High-motion-variation Macroblock Processing 29
Chapter 5 Experimental Results 35
5.1. Experimental Environment 35
5.2. Comparison with Well-known Methods 36
5.2.1. Comparison with HMVE 37
5.2.2. Comparison with RMVR 38
5.3. Comprehensive Comparison 39
5.3.1. Comparison of Average PSNR 39
5.3.2. Comparison of Average SSIM 40
5.3.3. Comparison of Decoding Time 41
5.3.4. Comparison of Subjective Quality 42
Chapter 6 Conclusion 47
References 48
[1] Draft ITU-T Recommendation and Final Draft International Standard of Joint Video Specification (ITU-T Rec. H.264/ISO/IEC 14486-10 AVC), Joint Video Team (JVT) of ISO/IEC MPEG and ITU-T VECG, JVT-G050, 2003.
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[3] H.264/AVC Reference Software Joint Model 16.2 (JM 16.2) [Online]. Available: http://iphome.hhi.de/suehring/tml/download/
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[5] J.-T. Chien, G.-L. Li, and M.-J. Chen, “Effective Error Concealment Algorithm of Whole Frame Loss for H.264 Video Coding Standard by Recursive Motion Vector Refinement,” IEEE Transactions on Consumer Electronics, vol. 56, no. 3, pp. 1689-1695, Aug. 2010.
[6] M. Yang and N. G. Bourbakis, “An Efficient Packet Loss Recovery Methodology for Video Streaming Over IP Networks,” IEEE Transactions on Broadcasting, vol. 55, pp. 190-201, Jun. 2009.
[7] X. Qian, G. Liu, and H. Wang, “Recovering Connected Error Region Based on Adaptive Error Concealment Order Determination,” IEEE Transactions on Multimedia, vol. 11, no. 4, pp. 683-695, Apr. 2009.
[8] Y. Chen, Y. Hu, O. C. Au, H. Li, and C. W. Chen, “Video Error Concealment Using Spatio-Temporal Boundary Matching and Partial Differential Equation,” IEEE Transactions on Multimedia, vol. 10, pp. 2-15, Jan. 2008.
[9] M.-J. Chen, C.-S. Chen, and M.-C. Chi, “Temporal Error Concealment Algorithm by Recursive Block-Matching Principle,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 15, pp. 1385-1393, Nov. 2005.
[10] W.-Y. Kung, C.-S. Kim, and C.-C. J. Kuo, “Spatial and Temporal Error Concealment Techniques for Video Transmission Over Noisy Channels,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 16, pp. 789-803, Jul. 2006.
[11] S.-C. Huang and S.-Y. Kuo, “Optimization of Hybridized Error Concealment for H.264,” IEEE Transactions on Broadcasting, vol. 54, no. 3, pp. 499-516, Sep. 2008.
[12] M. Ma, O. C. Au, S.-H. G. Chan, and M.-T. Sun, “Edge-Directed Error Concealment,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 20, no. 3, pp. 382-395, Mar. 2010.
[13] D. Persson and T. Eriksson, “Mixture Model- and Least Squares-Based Packet Video Error Concealment,” IEEE Transactions on Image Processing, vol. 18, pp. 1048-1054, May 2009.
[14] M.-C. Hwang, J.-H. Kim, H.-Y. Yang, S.-J. Ko, and A.W. Morales, “Frame Error Concealment Technique Using Adaptive Inter-Mode Estimation for H.264/AVC,” IEEE Transactions on Consumer Electronics, vol. 54, no. 1, pp. 163-170, Feb. 2008.
[15] C. Chen, Y. Liu, Z. Yang, J. Bu, and X. Deng, “Multi-frame Error Concealment for H.264/AVC Frames with Complexity Adaptation,” IEEE Transactions on Consumer Electronics, vol. 54, no. 3, pp. 1422-1429, Aug. 2008.
[16] K. Song, T. Chung, Y. Kim, Y. Oh, and C.-S. Kim, “Error Concealment of H.264/AVC Video Frames for Mobile Video Broadcasting,” IEEE Transactions on Consumer Electronics, vol. 53, no. 2, pp. 704-711, May 2007.
[17] J. Zhou, B. Yan, and H. Gharavi, “Efficient Motion Vector Interpolation for Error Concealment of H.264/AVC,” IEEE Transactions on Broadcasting, vol. 57, no. 1, pp. 75-80, Mar. 2011.
[18] Y. Chen, K. Yu, J. Li, and S. Li, “An Error Concealment Algorithm for Entire Frame Loss in Video Transmission,” in Proceedings of Picture Coding Symposium, 2004.
[19] Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, “Image Quality Assessment: From Error Visibility to Structural Similarity,” IEEE Transactions on Image Processing, vol. 13, no. 4, pp. 600-612, Apr. 2004.
[20] Y.-M. Chen and I. V. Bajic, “Region-Based Predictive Decoding of Video,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 20, no. 3, pp. 452-457, Mar. 2010.
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[23] T.-S. Wang, K.-S. Choi, H.-S. Jang, A. W. Morales, and S.-J. Ko, “Enhanced Frame Rate Up-conversion Method for UHD Video,” IEEE Transactions on Consumer Electronics, vol. 56, no. 2, pp. 1108-1114, May 2010.
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