傳送於差異服務網路之H.264視訊重要性分類機制研究

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姓名

余亞儒(Ya-Ju Yu) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

傳送於差異服務網路之H.264視訊重要性分類機制研究
(Robust Significance Classification Mechanism for H.264 Video over Differential Service Network)

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摘要(中)

近年來，隨著寬頻網路時代的到來，在網路上傳送多媒體服務已相當的普及，但多媒體視訊資料經過壓縮編碼之後，會產生不同重要性之視訊封包，若一視同仁的傳輸於網路上而遇到網路壅塞時，將使得視訊品質遭受到嚴重的影響。
基於以上的問題，本論文首先針對不同畫面複雜度的視訊錯誤蔓延特性進行分析，並提出一個同時參考時間域及空間域的視訊封包重要性分類機制(SC-TS)，本機制除了從時間軸的播放順序來判斷封包的重要性之外，亦同時利用錯誤追蹤(error tracking)的觀念，來決定目前畫面的每個封包被下一張畫面像素(pixel)參考的比例，並進而區分出同一張畫面的每個封包不同的重要性。為了讓本機制可以適用於各種不同特性的視訊序列，本論文進一步提出在空間域和時間域之調適性視訊封包重要性分類機制(ASC-TS)，以GOP為基礎並啟動錯誤蔓延比例的學習機制，把目前GOP的錯誤蔓延比例作為下一個GOP決定封包重要性分類的參考依據。
模擬結果顯示，相對於傳統以畫面位置為基礎的分類機制，在相同的網路環境下，本論文提出的機制能改善接收的視訊品質達0.7dB。

摘要(英)

In recent years, the delivery of video streaming services in Internet is popular and full of potential. However, an equal error protection scheme to all video packets in Internet will significantly degrade the video quality since the encoded and packetizated video packets have different significances.
Therefore, this thesis proposes a Significance Classification mechanism (SC-TS) to classify the video packet importance from Temporal and Spatial domain simultaneously. SC-TS not only determines packet significance from the frame order in time domain but also utilizes error tracking concept to differentiate significances of video packets in the same frame. Moreover, for satisfying various video sequences with different coding properties, this thesis adds a learning algorithm of error propagation property to SC-TS, which is named Adaptive SC-TS (ASC-TS) in this thesis. While utilizing ASC-TS, the required error propagation ratio of next GOP is learned from the error propagation results of current GOP.
Simulation results reveal that the proposed ASC-TS mechanism can effectively improve the received picture quality up to 0.7dB under the same network environment, compared with the traditional classification mechanism that determines the packet signification from temporal domain only.

關鍵字(中)

★ 重要性分類
★ 差異式服務網路
★ H.264視訊壓縮

關鍵字(英)

★ Significance Classification
★ Differential Service
★ H.264

論文目次

目錄 IV
附圖索引 VII
附表索引 XI
第一章緒論 1
1.1研究背景、動機與目的 1
1.2相關研究 3
1.3提出之機制與主要貢獻 6
1.4論文架構 7
第二章服務品質網路與影像壓縮技術 8
2.1服務品質網路技術 8
2.1.1整合式服務 9
2.1.2差異式服務網路 11
2.2 H.264影像壓縮技術 14
2.2.1視訊編碼層(Video Coding Layer) 15
2.2.1.1畫面內預測( Intra Prediction ) 16
2.2.1.2畫面間預測( Inter Prediction ) 19
2.2.2網路提取層(Network Abstraction Layer) 21
2.3 H.264錯誤蔓延分析 25
2.3.1空間性預測(Intra Prediction) 25
2.3.2時間性預測(Inter Prediction) 27
第三章 H.264視訊封包重要性分類機制之研究 30
3.1視訊封包重要性分類之相關工作[1] 31
3.2在時間域以畫面位置為基礎之重要性定訂 38
3.3在空間域之封包重要性分類機制 44
3.4封包分類正確率比較 50
第四章調適性重要性分類機制 56
4.1調適性重要性分類機制 57
4.2低振盪之調適性重要性分類機制 67
第五章實驗結果與討論 77
5.1模擬環境架構說明 78
5.1.1 視訊伺服器參數設定 79
5.1.2 網路模擬環境說明及其參數設定 80
5.2 SC-TS視訊封包重要性分類機制效能分析 81
5.2.1 SC-TS封包重要性分類機制與TFB效能比較 82
5.3 SC-TS封包重要性分類機制與沒有分類機制之效能比較 86
5.4調適性重要性分類機制之效能比較 90
5.4.1 調適性重要性分類機制於頻寬低時之效能比較 91
5.4.2 調適性重要性分類機制於頻寬中時之效能比較 95
5.4.3 調適性重要性分類機制於頻寬高時之效能比較 97
第六章結論 100
參考文獻 102

參考文獻

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指導教授

張寶基(Pao-Chi Chang)

審核日期

2007-7-23

推文