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研究生:柯志亨
研究生(外文):Chih-Heng Ke
論文名稱:差異性服務網路架構下具MPEG視訊內容感知之封包標記方法
論文名稱(外文):A Content-Aware Packet Marking Scheme for MPEG Video Transmission overDifferentiated-Service Networks
指導教授:黃文祥黃文祥引用關係謝錫堃謝錫堃引用關係
指導教授(外文):Wen-Shyang HwangCe-Kuen Shieh
學位類別:博士
校院名稱:國立成功大學
系所名稱:電機工程學系碩博士班
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:2007
畢業學年度:95
語文別:英文
論文頁數:85
中文關鍵詞:封包標記MPEG 視訊差異性服務網路
外文關鍵詞:packet markingMPEG videoDiffServ
相關次數:
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  • 下載下載:25
  • 收藏至我的研究室書目清單書目收藏:0
在差異性服務網路架構(Differentiated-Service Networks)下傳統的封包標記器如單速率三色標記器(Single Rate Three Color Marker)或雙速率三色標記器(Two Rate Three Color Marker),無法有效地保護較為重要的MPEG視訊封包免於被丟棄,所以無法有較佳的MPEG視訊傳輸品質。因此本研究提出了一個對於MPEG視訊內容感知之封包標記方法---雙標記器系統(Two Markers System),用來提升MPEG視訊傳輸品質。雙標記器系統是把第一個標記器(application-level source marker)放在MPEG視訊封包傳送端,第二個標記器放在差異性服務網路架入口端,傳送端的標記器會在視訊封包被送到網路之前,根據其內容的重要性在IP封包標頭做一個重要性指標的標記;而在差異性服務網路的入口端則使用一個加強型的權杖儲存桶三色標記器(Enhanced Token Bucket Three Color Marker),來對進來的封包做標記。若是進來的資料流不符合事先所規範好的規則,較不重要的MPEG視訊封包就會被標記成具有較高被丟棄機率的值,因此網路發生擁塞時,較不重要的MPEG視訊封包就會先被丟棄,所以使用這樣雙標記器系統就可以達到較佳的MPEG視訊傳輸品質。
除此之外,本研究也提出了一個較接近真實環境之MPEG視訊傳輸評估模擬平台。這個新的評估模擬平台除了可以用來驗證所提出的雙標記器系統,並能幫助其他的研究學者更自由地去驗證MPEG視訊傳輸結果。
The failure of legacy traffic conditioners such as the Single Rate Three Color Marker (SRTCM) and the Two Rate Three Color Marker (TRTCM) to protect the important data from being dropped renders a poor video delivered quality over Differentiated Service (DiffServ) networks due to the hierarchical structure of MPEG video. Therefore, we propose a content-aware packet marking scheme, which we call Two Markers System (TMS), to improve the delivery quality of MPEG video streams. TMS places marker modules at both the video source and the edge of a DiffServ network. The source marking module acts at the application level to set an importance indicator in the IP header of the MPEG frame packet by evaluating the contribution of the packet to the expected picture quality to be perceived by an end user. Meanwhile, at the edge of the DiffServ network, the Enhanced Token Bucket Three Color Marker (ETBTCM) is proposed to perform packet marking at the network level in accordance with the pre-assigned importance of each video frame packet. When the traffic flow is measured as out-of-profile, the less important packets will be marked with higher probability than the more important one. Therefore, in the event of network congestion, less important frame packets can be dropped before more important ones. Consequently, the better delivered video quality can be provided.
Furthermore, we also present an evaluation framework for more realistic simulations of MPEG video transmission. This evaluation framework not only allows us to evaluate our proposed TMS in a more realistic way but also lets other researchers have greater freedom to analyze their proposed network designs for video simulation without being obliged to consider an appropriate tool-set for video quality evaluation.
Chapter 1 Introduction......................................................1
1.1 Motivation............................................................2
1.2 Contributions.........................................................3
1.3 Structure of Dissertation.............................................5

Chapter 2 Background........................................................6
2.1 Overview of the DiffServ architecture.................................6
2.2 Overview of video coding.............................................13

Chapter 3 Two Markers System...............................................17
3.1 Application-level SourceMarker.......................................18
3.2 Enhanced Token Bucket Three Color Marker.............................20

Chapter 4 Evaluation Framework.............................................23
4.1 Overview of evaluation methods for video transmission and Evalvid....26
4.2 Enhancement of Evalvid...............................................32
4.3 Simulation results...................................................36
4.4 The relationship between PSNR and the decodable frame rate...........41
4.5 Summary..............................................................51

Chapter 5 Performance Evaluation...........................................53
5.1 Simulation setup.....................................................53
5.2 Simulation results...................................................57

Chapter 6 Conclusions and Future Work......................................78
6.1 Conclusions..........................................................78
6.2 Future work..........................................................79

BIBLIOGRAPHY...............................................................81
BIOGRAPHY..................................................................85
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[38] http://trace.eas.asu.edu/
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[40] YUV video sequences (CIF), http://www.tkn.tu-berlin.de/research/evalvid/cif.html.
[41] YUV video sequences (QCIF), http://www.tkn.tu-berlin.de/research/evalvid/qcif.html.
[42] NCTU codec, http://megaera.ee.nctu.edu.tw/mpeg.
[43] ffmpeg, http://ffmpeg.sourceforge.net/index.php.
[44] Xvid, http://www.xvid.org/.
[45] tcp-dump, http://www.tcpdump.org.
[46] win-dump, http://windump.polito.it.
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[48] Jens-Rainer Ohm. Bildsignalverarbeitung fuer multimedia-systeme. Skript, 1999.
[49] H. Kim, C. Yoo, and W. Y. Jung, “Simulation Study on the Effect of the trTCM Parameters,” Telecommunications’03, vol. 2, pp. 1482-1488, February 2003.
[50] Evalvid-RA, http://www.item.ntnu.no/~arnelie/Evalvid-RA.htm.
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