跳到主要內容

臺灣博碩士論文加值系統

(3.236.50.201) 您好!臺灣時間:2021/08/06 09:28
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:張懷文
研究生(外文):Huai-WenZhang
論文名稱:一個改良式基於預測之前向糾錯機制
論文名稱(外文):An Enhanced Prediction-based Forward Error Correction Scheme
指導教授:謝錫堃謝錫堃引用關係
指導教授(外文):Ce-Kuen Shieh
學位類別:碩士
校院名稱:國立成功大學
系所名稱:電腦與通信工程研究所
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:2012
畢業學年度:100
語文別:英文
論文頁數:38
中文關鍵詞:即時前向糾錯速率控制預測
外文關鍵詞:Real-timeForward error correctionRate controlPrediction
相關次數:
  • 被引用被引用:0
  • 點閱點閱:110
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
為了達到較佳的影像播放品質,即時影像串流應用程式需要盡可能地降低封包錯誤率及傳送延遲。前向糾錯機制 (Forward Error Correction)是一種經常在無線網路上傳輸影像串流時所使用的傳輸封包錯誤回復機制。然而,為了加強前向糾錯機制的保護能力將會產生一個較長的延遲時間以至於滿足於即時影像串流的傳輸。在先前的相關研究中,一個基於預測的前向糾錯機制 (Prediction-based FEC) 被提出,企圖達到較佳的影像品質並且同時維持較低的點對點延遲。然而,基於預測的前向糾錯機制的效能完全取決於預測的精準度。同時由於此機制使用預測的方法,當預測發生錯誤時會產生冗餘封包數量錯誤和頻寬使用過量等不良的強行,降低原本該有的影像品質。因此,我們延續基於預測的前向糾錯機制,加入更精準的預測演算法 (Normalized least mean squares algorithm) 增加預測精準度,並且使用簡單的動態餘封包數量調整演算法和傳輸速率控制演算法避免當預測錯誤時導致影像品質低落情形的發生。
Real-time video streaming applications typically require minimizing packet loss and transmission delay so as to achieve the best possible playback quality. Forward error correction (FEC) is a frequently used technique for improving transport performance with low delay overhead on lossy packet networks. However, the FEC processing latencies induced by enhancing or optimizing the loss recovery capability for video streaming may violate the stringent delay constraint in video communications. In related work, a prediction-based FEC scheme attempts to minimize the additional FEC processing delay while maintaining high video quality. However, the performance of prediction-based FEC depends on prediction accuracy. Furthermore, the problems caused by prediction errors such as inaccurate FEC redundancy and bandwidth allocation overflow will reduce the video quality. Therefore, this paper extends the previous prediction-based FEC scheme with a time-domain prediction algorithm and a series of correction algorithm to upgrade the video quality. The simulation results show that our proposed scheme improves not only the prediction accuracy and the playable frame rate, but also lowers the redundancy overhead.
摘要 I
Abstract III
誌謝 V
Figures VII
Tables VIII
Chapter 1 Introduction 1
Chapter 2 Background 4
2.1 MPEG-4 overview 4
2.2 TCP friendly rate protocol (TFRC) 6
2.3 Forward error correction(FEC) 7
2.4 Related works 9
2.4.1 Optimal playable frame rate with media scaling 9
2.4.2 Prediction-based FEC redundancy allocation 12
Chapter 3 Enhanced Prediction-based FEC Scheme 13
3.1 Enhanced prediction-based FEC scheme 14
3.2 Normalized least mean square (NLMS) prediction algorithm 16
3.3 Redundancy correction 18
3.4 Transmission rate control 20
3.4.1 Frame end-to-end estimation formula 21
3.4.2 Frame priority sequence 25
Chapter 4 Simulation Results 26
4.1 Simulation environment and setting 27
4.2 Accuracy estimation of prediction algorithm 28
4.3 Performance of redundancy correction 31
4.4 Performance of transmission rate control 32
4.5 Performance comparison 34
Chapter 5 Conclusion 35
Reference 36


[1] C. Chen, C. Lin and Y. Chen, Cross-layer packet retry limit adaptation for video transport over wireless LANs. IEEE Transactions on Circuits and Systems for Video Technology, vol. 20, no. 11,pp. 1448-1461,2010
[2] K. Kang, C. Kim and K. Park, A hybrid architecture for delay analysis of interleaved FEC on mobile platforms. IEEE Transactions on Vehicular Technology, vol. 59, no. 4, pp. 2087-2092, 2010.
[3]S. Muraoka, H.Masuyama, S. Kasahara and Y. Takahashi, FEC recovery performance for video streaming services over wired-wireless networks. Performance Evaluation, vol. 66, no. 6, pp. 327-342, 2009.
[4]M. Tsai, C. Shieh, W. Hwang and D. Deng, An adaptive multi-hop forward error correction protection scheme for enhancing the quality of service of video streaming transmission over wireless mesh networks. International Journal of Communication System, vol. 22, no. 10, pp. 1297-1318, 2009.
[5]A. Argyriou, Cross-layer error control for multimedia steaming in wireless/ wireline packet networks. IEEE Transactions on Multimedia, vol. 10, no. 6, pp. 1121-1127, 2008.
[6]C. Lin, C. Shieh, N. Chilamkurti, C. Ke and W. Hwang, A RED-FEC mechanism for video transmission over WLANs. IEEE Transactions on Broadcasting, vol. 54, no. 3, pp. 517-524, 2008.
[7] V. Gandikota, B. Tamma and C. Murthy, Adaptive FEC-based packet loss networks. IEEE Transactions on Mobile Computing, Vol. 7, no. 10, pp. 1184-1199,2008.
[8]S. Kang and D. Loguinov, Modeling best-effort and FEC streaming of scalable video in lossy network channels. IEEEE /ACM Transactions on Networking, vol. 15, no. 1, pp. 187-200, 2007.
[9]C. Lee, C. Yang and Y. Su, Adaptive UEP and packet size assignment for scalable video transmission over burst-error channels. EURASIP journal on Applied Signal Processing, vol. 2006, no. 1, 2006.
[10]H. Zhai, X. Chen and Y. Fang, How well can the IEEE 802.11 wireless LAN support quality of service? IEEE Transactions on Wireless Communications, vol. 4, no. 6, pp.3084-3094, 2005.
[11]R. Razavi, M. Fleury, and M. Ghanbari, Adaptive Packet-Level Interleaved FEC for Wireless Priority-Encoded Video Streaming, Advances in Multimedia. 2009.
[12]C. Shih, C. Shieh, and W. Hwang, A Transparent Loss Recovery Scheme using Packet Redirection for Wireless Video Transmissions, EYRASIP Journal on Advances in Signal Processing 2008.
[13]J. Feng, C. Xuefen, P. Li, W. Yining, L. Guan, and X. Wang, Adaptive FEC algorithm based on prediction of video quality and bandwidth utilization ratio Journal of Ambient Intelligence and Humanized Computing vol. 1, no. 4, pp. 309-318, 2010
[14]Y. Yuan, BF Cockburn, T. Sikora, and M. Mandal, Efficient allocation of packet-level forward error correction in video streaming over the internet Journal of Electronic Imaging, 2007.
[15]C, Diaz, J. Cabrera, F. Jaureguizar, and N. Garcia, A video-aware FEC-based unequal loss protection system for video streaming over RTP, IEEE Transactions on Consumer Electronics, vol. 57, no. 2, 2011.
[16]L. Kondrad, I. Bouazizi, and M. Gabbouj, Media aware FEC for scalable video coding transmission
[17]K. Park and W. Wang, QoS-sensitive transport of real-time MPEG video using adaptive redundancy control, Computer Communications, vol. 4, pp. 78-92, Jan. 2001.
[18]A. Nafaa, T. Taleb, and L. Murphy, Forward error correction strategies for media streaming over wireless networks. IEEE Communications Magazine, vol. 46, No. 1, pp. 72-79, 2008.
[19] M. Natkaniec, A.-R Pach, Simulation Analysis of Multimedia Streams Transmission in IEEE 802.11 Networks, ISWC’99 IEEE International Symposium on Wireless Communications, Victoria, Canada, June 1999
[20]C. Kuo, C. Shih, C. Shieh, W. Hwang, Prediction-based loss recovery for frame-level streaming video, IEEE GLOBECOM Workshops 2011
[21] H. Wu, M. Claypool, and R. Kinicki, Adjusting forward error correction with temporal scaling for TCP-friendly streaming MPEG, ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 1, no. 4, pp. 315–337, 2005.
[22] Adas A.M, Using Adaptive Linear Prediction to Support Real-Time VBR Video Under RCBR Network Service Model, IEEE/ACM Transactions on Networking, vol.6,no.5, pp. 635-644, 1998.
[23] M. Handley, S. Floyd, J. Pahdye, and J.Widmer, “TCP friendly rate control (TFRC): protocol specification, RFC3448, January 2003.

連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top