博碩士論文 965202105 詳細資訊




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姓名 吳靖宇(Ching-Yu Wu)  查詢紙本館藏   畢業系所 資訊工程學系
論文名稱 結合數位浮水印與興趣區域位元率控制之車行視訊編碼
(A Joint Watermarking and ROI Coding Scheme for Traffic Surveillance Videos)
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摘要(中) 本論文提出一個結合數位浮水印與興趣區域 (ROI) 位元率控制的車行視訊編碼機制。近年來道路監視器被大量地設立以增加對人車安全的保障,同時也使得交通監控相關應用更為廣泛。本研究將智慧型運輸系統 (ITS) 所蒐集的車輛相關訊息,利用數位浮水印技術嵌入於監控畫面中,以減少用來解讀畫面的資料量,便利資料的整理,並且增加資料的可讀性。本論文大致分成兩部分,第一部分為以區分車行畫面前景與背景物為基礎的數位浮水印嵌入與偵測機制。透過背景建立,我們將畫面中包含車輛的區塊擷取出來,並將其對應至ITS感測器所得到個別車輛資訊以進行浮水印嵌入,浮水印技術則與壓縮車行視訊所使用的H.264/AVC緊密結合以增加系統執行的效率,確保視訊畫質不受影響,維持壓縮視訊的長度,並確認隱藏訊息可被正確的偵測。論文的第二部份為建構於ROI之位元率控制機制,此機制利用車行畫面的特性,訓練相關模型以適用於各種交通監控場景,透過有效的預測,我們能夠準確的將較多的位元分配於ROI。因此,我們不僅可藉此告知解碼端關於數位浮水印的嵌入位置以利其偵測,並可協助系統提高整體視訊編碼表現,有效提升車輛部分的影像畫質。實驗結果顯示了此車行畫面編碼系統的優點與實用性。
摘要(英) A new application of information hiding by employing the digital watermarking techniques to facilitate the data annotation in traffic surveillance videos is proposed in this research. As there are more and more roadside surveillance cameras are deployed, the applications related to traffic surveillance systems become important. In the proposed schemes, the data collected from intelligent transportation systems (ITS) are embedded into the corresponding regions of traffic scenes to facilitate the data management. The scheme consists of two parts. The first part is the object-based watermarking, in which the information of each vehicle collected from other sensors/sources in the ITS will be conveyed/stored along with the visual data via information hiding. The traffic scene captured by a video camera will be analyzed and the individual vehicles are extracted as moving objects, which will be embedded with the associated information. The scheme is integrated with H.264/AVC, which is assumed to be adopted by the surveillance system, to achieve an efficient implementation. The second part is a Region
Of Interest (ROI) rate control mechanism for encoding traffic surveillan videos, which helps to improve the overall performance. The quality of vehicles in the video is thus well preserved and a good rate-distortion performance can be attained. Experimental results show that this potential scheme works well in traffic surveillance videos.
關鍵字(中) ★ ROI
★ H.264/AVC
★ 數位浮水印
★ 資料隱藏
★ 智慧型運輸系統
★ 位元率控制
關鍵字(英) ★ ITS
★ digital watermarking
★ H.264/AVC
★ information hiding
★ ROI
★ rate control
論文目次 1 Introduction 1
1.1 Significance of the Research . . . . . . . . . . . . . . . . 1
1.2 The Related Work . . . . . . . . . . . . . . . . . . . . . 4
1.2.1 The Object-based Watermarking . . . . . . . . . 4
1.2.2 The ROI-based Rate Control . . . . . . . . . . . 5
1.3 Contribution of Research . . . . . . . . . . . . . . . . . . 7
1.4 The Organization of Thesis . . . . . . . . . . . . . . . . 8
2 The Object-based Watermarking 9
2.1 Constructing the Background Model . . . . . . . . . . . 9
2.2 Information Embedding . . . . . . . . . . . . . . . . . . 10
2.2.1 The Vehicle Information Embedding . . . . . . . 12
2.2.2 The Global Information Embedding . . . . . . . . 14
2.3 The Selection of Indices . . . . . . . . . . . . . . . . . . 16
2.3.1 Watson’s Model . . . . . . . . . . . . . . . . . . . 16
2.3.2 The Indices Selection . . . . . . . . . . . . . . . . 18
2.4 Information Detection . . . . . . . . . . . . . . . . . . . 20
2.4.1 Vehicle Information Detection . . . . . . . . . . . 22
2.4.2 Global Information Detection . . . . . . . . . . . 22
3 ROI-based Rate Control Mechanism 24
3.1 Linear R-Q Model . . . . . . . . . . . . . . . . . . . . . 25
3.2 Bit Allocation . . . . . . . . . . . . . . . . . . . . . . . . 27
3.3 QP/Qstep Determination . . . . . . . . . . . . . . . . . 30
3.4 The Adaptive Model Updating . . . . . . . . . . . . . . . 31
3.5 Linear R-Q Model Parameters Training . . . . . . . . . . 33
4 Experimental Results 35
4.1 Performance of Information Hiding . . . . . . . . . . . . 36
4.2 Performance of the Proposed Rate Control Method . . . 41
4.3 The Combined results of Information Hiding and Rate
Control . . . . . . . . . . . . . . . . . . . . . . . . . . . 44
5 Conclusion and Future Work 48
Reference 50
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指導教授 蘇柏齊(Po-Chyi Su) 審核日期 2009-7-23
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