(3.238.173.209) 您好!臺灣時間:2021/05/16 21:42
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:賴欣茹
研究生(外文):Hsin-Ju Lai
論文名稱:調整視訊與通道編碼及傳輸功率之跨層參數於無線監控系統之節能研究
論文名稱(外文):Cross Layer Based Power Saving Techniques for Wireless Video Surveillance System
指導教授:沈 岱 範
指導教授(外文):Day-Fann Shen
學位類別:碩士
校院名稱:國立雲林科技大學
系所名稱:通訊工程研究所碩士班
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:2009
畢業學年度:97
語文別:中文
論文頁數:93
中文關鍵詞:跨層系統視訊傳輸h.264壓縮節能.無線網路
外文關鍵詞:video communicationcross-layerwirelessH.264power savingCode Rate.
相關次數:
  • 被引用被引用:1
  • 點閱點閱:130
  • 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
本論文主要是考量高壓縮效率H.264視訊於無線網路之省電傳輸研究,解決無線網路易受干擾造成傳輸失敗以及電量限制的問題。我們提出視訊編碼結合發射功率及Code Rate的動態控制方法,改善視訊抗錯誤能力,有效的通道資源分配及減少計算量。經大量實驗結果,能有效的節省0.2%-52.7%的能量消耗。本論文並利用多重描述編碼方式,利用像素層次的錯誤影藏技術,達到R-D性能條件下的降低電池能耗,可有效的減少10.7%-65.2%。
In this paper, is considered a high compression efficiency of H.264 video on the wireless network of power transmission research, to resolve interference caused transmission error by wireless network, as well as electricity transmission constraints. Combination of our video encoding and transmitting power dynamic Code Rate control method, improving error concealment, and effective allocation of resources and reduction of channel computation. By a large number of experimental results,
saving 0.2% -52.7% energy consumption.
And this paper use of multiple description coding method pixel-wise error concealment technology, the performance achieved to reduce battery power consumption 10.7% -65.2% under the conditions of RD effective.
摘要 i
ABSTRACT ii
致謝 iii
目錄 iv
表目錄 vii
圖目錄 ix
第一章 緒論 1
1.1 研究問題 1
1.2 研究方法 2
1.3 論文主要貢獻 2
1.4 各章提要 3
第二章 背景與文獻回顧 4
2.1無線視訊IP網路協定 4
2.1.1應用層(Application Layer) 5
2.1.2 網路層(Network Layer) 5
2.1.3 媒體存取控制層(Media Access Control Layer) 6
2.1.4 實體層 (Physical Layer) 7
2.2 H.264視訊壓縮標準 7
2.2.1 H.264 視訊編碼層(Video Coding Layer, VCL) 8
2.2.2 H.264 網路抽象層(Network Abstraction Layer, NAL) 10
2.3相關文獻回顧 11
2.3.1無線網路的傳輸環境 11
2.3.2無線視訊傳輸 14
第三章 以MATLAB/Simulink 建立802.11(a)無線傳輸平台 17
3.1模擬器的介紹 17
3.1.1 NS-2(Network Simulator, version 2)簡介 17
3.1.2 MATLAB/ Simulink 簡介[27] 19
3.1.3 模擬器之差異 21
3.2 視訊H.264於 MATLAB/ Simulink之無線傳輸架構 22
3.2.1 實驗平台(wireless network) 22
3.2.2實驗步驟 22
3.2.3參數設定 23
第四章 視訊編碼和通道編碼結合於視訊H.264無線傳輸之動態功率控制 25
4.1無線視訊監控系統攝影端、監控台架構圖 25
4.2無線網路傳輸影響視訊品質之相關參數分析 27
4.2.1視訊品質與H.264編碼關係分析 27
4.2.2視訊品質與802.11(a)Code Rate關係分析 31
4.2.2.1錯誤率與Code Rate關係分析 32
4.2.2.2 Adaptation Coding rate (ACR) 35
4.3結合視訊編碼和通道編碼之動態功率控制分析 38
4.3.1 最佳單獨參數考量之能量消耗關係分析 41
4.3.1.1 考量Constant Code Rate (CCR) 42
4.3.1.2 考量Adaptation Code Rate (ACR) 45
4.4提出連結CCR與ACR動態調整之功率控制方法 49
第五章 多重描述編解碼與抗錯能力及電池能量消耗關係分析探討 55
5.1多重描述編碼 (Multiple-description coding) MDC 55
5.1.1像素層次的錯誤隱藏技術 56
5.2 Two MDC與H.264錯誤補償效能比較 58
5.2.1主觀與客觀的視訊品質比較 59
5.2.2 編碼時間比較 67
5.3 能量消耗關係分析 69
第六章 結論與未來研究方向 77
參考文獻 78
[1]Thomas Wiegand, Gary J. Sullivan, Gisle Bjontegaard, and Ajay Luthra, “Overview of the H.264 / AVC Video Coding Standard,” Transactions on Circuits and Systems for Video Technology, IEEE, Jul. 2003.
[2]J. Ostermann, J. Bormans, P. List, D. Marpe, M. Narroschke, F. Pereira, T. Stockhammer, and T. Wedi, “Video coding with H.264/AVC: tools, performance, and complexity,” Circuit and Systems Magazine, IEEE, First quarter 2004.
[3]Thomas Stockhammer, Miska M. Hannuksela, and Thomas Wiegand, “H.264/AVC in Wireless Environments,” Transactions on Circuits and Systems for Video Technology, IEEE, vol. 13, no. 7, Jul. 2003.
[4]Andrew S. Tanenbaum, “Computer Networks, 4e”, Prentice Hall PTR, 2003.
[5]Matthew S. Gast, “802.11 Wireless Networks: The Definitive Guide, 2e,” O’REILLY, 2005.
[6]Iain E. G. Richardson, “H.264 and MPEG-4 Video Compression”, WILEY, 2003.
[7]Kai chang, “RF Microwave Wireless Systems,” Wiley, June 16, 2000.
[8]Rappaport, T. S. “Wireless Communications—Principles and Practice”, Prentice Hall, Dec. 31, 2001.
[9] Siu-Ping Chan and Ming-Ting Sun, “NeTwo rk condition detection for video transport over wireless Internet,” IEEE Int. Conf. Circuits and Systems, pp. 21-24, May 2006.
[10]Dapeng Wu, Yiwei Thoms Hou and Ya-Qin Zhang, “Transporting Real-Time Video over the Internet: Challenges and Approaches,” Proceedings of the IEEE, vol 88, no. 12, pp. 1855 - 1877, Dec. 2000.
[11]Kumwilaisak W., Jong Won Kim, Jay Kuo, C.-C., “Reliable wireless video transmission via fading channel estimation and adaptation,” Wireless Communications and Networking Conference, IEEE, vol. 1, pp. 185 – 190, Sept. 2000.
[12]Katsaggelos, A.K. , Fan Zhai, Eisenberg, Y. and Berry, R., “Energy-efficient wireless video coding and delivery,” Wireless Communications, IEEE, vol. 12, no. 4, pp. 24 – 30, Aug. 2005.
[13]Zhihai He, Yongfang Liang, Lulin Chen, Ahmad, I. and Dapeng Wu “Power-rate-distortion analysis for wireless video communication under energy constraints,” Circuits and Systems for Video Technology, IEEE, vol. 15, no. 5, pp. 645 – 658, May 2005.
[14]Zhihai He and Mitra, S.K. ,“From rate-distortion analysis to resource-distortion analysis,” Circuits and Systems Magazine, IEEE, vol. 5, no. 3, pp. 6 – 18, 2005.
[15]Etoh, M., Yoshimura, T.,“Advances in Wireless Video Delivery,” Digital Object Identifier, vol. 93, no. 1, pp. 111 – 122, Jan. 2005.
[16]Srivastava V. and Motani M., “The road ahead for cross-layer design,” IEEE Int. Conf. Broadband Networks, Vol. 1, pp. 551 – 560, Oct. 2005.
[17]Haratcherev L., Taal J., Langendoen K., Lagendijk R., Sips H., “Optimized Video Streaming over 802.11 by Cross-Layer Signaling,” Communications Magazine, IEEE, vol. 44, no. 1, pp. 115 – 121, Jan. 2006.
[18]Stanislaus, W., Fairhurst, G., and Radzik, J., “Cross layer techniques for flexible transport protocol using UDP-Lite over a satellite network,” Wireless Communication Systems, Sept. 2005.
[19]Sanjay Shakkottai and Theodore S. Rappaport, “Cross-Layer Design for Wireless Networks,” IEEE Communications Magazine , Oct. 2003.
[20]Goran Dimi’c ,Nicholas D. Sidiropoulos, and Ruifeng Zhang, “Medium Access Control Physical Cross-Layer Design,” IEEE, Signal Processing Magazine, Sep. 2004.
[21]Pollin, S., Mangharam, R., Bougard, B., Van der Perre, L., Moerman, I., Rajkumar, R. and Catthoor, F., “MEERA: cross-layer methodology for energy efficient resource allocation in wireless networks,” Wireless Communications, IEEE Transactions, vol. 6, no. 2, pp. 617 – 628, Feb. 2007.
[22]Qian Zhang Fan Yang Wenwu Zhu, “Cross-Layer QoS Support for Multimedia Delivery over Wireless Internet,” Eurasip Journal on Applied Signal Processing, pp. 207–219, 2005.
[23]Qian Zhang; Ya-Qin Zhang “Cross-Layer Design for QoS Support in Multihop Wireless Networks,” Proceedings of the IEEE, vol. 96, no. 1, pp. 64 – 76, Jan. 2008.
[24]柯志亨團隊作,「使用NS2模擬多媒體通訊與無線網路」,學貫出版社,2007.
[25]140.116.72.80/~smallko/ns2/ns2.htm
[26]曾令江,2007,“利用跨層技術於H.264無線視訊之動態功率消耗控制”,國立雲林科技大學,碩士論文.
[27]吳文忻、陳育喧、張仲良等編著,「通訊系統設計與模擬-使用MATLAB/Simulink」,鈦思科技, 2007.
[28]J. Hagenauer, “Rate-compatible punctured convolutional codes (RCPC codes) and their applications, ” IEEE Trans. Comm., vol. 364, pp. 389 - 400, 1988.
[29]Qian Zhang; Ya-Qin Zhang “Cross-Layer Design for QoS Support in Multihop Wireless NeTwo rks, ” Proceedings of the IEEE , vol. 96, no. 1, pp. 64 – 76, Jan. 2008.
[30]Etoh M., Yoshimura T.,“Advances in Wireless Video Delivery,” Proceedings of the IEEE , vol. 93, no. 1, pp. 111 – 122, Jan. 2005.
[31]沈岱範、洪鵬傑,“加權次取樣技術的視訊/影像多重描述編碼與像素層次的通道錯誤隱蔽技術”,民生電子暨信號處理研討會,2005.
[32]沈岱範、王榮諆,“加權次取樣多重描述編碼及像素層次錯誤隱藏之H.264/AVC無線視訊傳輸之研究”,民生電子暨信號處理研討會,2005.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊