臺灣博碩士論文加值系統

本論文研製之 3D小波可調性編碼( 3D Wavelet Scalable Video Coding)擁有頻寬可調性、時間軸可調性與空間軸可調性等優點，可分為三個主要的模組:時間小波 T_Module、空間小波S_Module與Entropy_Coding模組以產生最後壓縮資料串流。本論文我們希望結合小波可調性編碼與人臉偵測系統，一次性嵌入人臉偵測於不同等級資料串中，針對不同的網路需求，讓接收端用最小資料量分析最快偵測出人臉影像。對可調性視訊接收端而言：資訊接收端不再受限於單一撥放環境，接收端可根據自身的網路環境，選擇觀看人臉偵測影像。對可調性視訊服務端而言：網路伺服器只需提供一個檔案供所有使用端下載，無論接收端的網路環境為何，對伺服器都只要求同一個檔案，不但可以提供不同使用端的需求，更可節省檔案伺服器對硬體需求上的負擔。

由實驗結果驗証，在不同時間壓縮、空間壓縮下之不同等級資料串流偵測人臉影像，均可達到可調性視訊人臉偵測目標，並達到最小資料量分析最快偵測結果。

3D wavelet scalable video coding has the advantages of bandwith, temporal, and spatial scalability, which includes three main modules : T_Module、S_Module、Entropy_Coding, those produce final compressed output bit stream.

In this thesis we would like to combine face detection in 3D wavelet scalable video. The advantages are: 1. User only download one bit stream and extract it for what they need. 2. Server only provides one bit stream for all users to download and it also saves lots of disk space in network.

We propose a strategy that makes the face can be detected under different environment and detect the face correctly and quickly.

中文摘要 ………………………………………………………………… i
英文摘要 ………………………………………………………………… ii
誌謝 ………………………………………………………………… iii
目錄 ………………………………………………………………… iv
圖目錄 ………………………………………………………………… vi
表目錄 ………………………………………………………………… vii

Chapter1 簡介…………………………………………………………… 1
1.1 研究動機與目標……………………………………………… 1
1.2 相關研究與主要貢獻………………………………………… 1

Chapter2 先前研究……………………………………………………… 2
2.1 SVC可調性編碼研究………………………………………… 2
2.1.1 時間小波T_Module研究……………………………………… 4
2.1.2 空間小波S_Module研究……………………………………… 8
2.1.3 壓縮編碼研究………………………………………………… 11
2.1.4 圖例說明……………………………………………………… 11
2.2 人臉偵測研究………………………………………………… 12
2.2.1 顏色判斷……………………………………………………… 12
2.2.2 外型特徵……………………………………………………… 13

Chapter3 可調性視訊之人臉偵測……………………………………… 14
3.1 系統與架構…………………………………………………… 14
3.2 人臉偵測嵌入位置設計……………………………………… 15
3.2.1 空間小波解碼嵌入分析……………………………………… 15
3.2.2 時間小波解碼嵌入分析……………………………………… 17
3.2.3 人臉偵測嵌入位置…………………………………………… 19
3.3 可調性視訊人臉偵測設計…………………………………… 20
3.3.1 膚色YUV值取得……………………………………………… 21
3.3.2 膚色區塊篩選………………………………………………… 24
3.3.3 外型特徵判斷………………………………………………… 26
3.3.4 可調性人臉偵測結果………………………………………… 27
Chapter4 實驗結果與討論……………………………………………… 28
4.1 實驗影片……………………………………………………… 28
4.2 實驗程式與環境……………………………………………… 29
4.3 可調變實驗I………………………………………………… 30
4.3.1 時間調變實驗I……………………………………………… 30
4.3.2 空間調變實驗I……………………………………………… 33
4.4 可調變實驗II………………………………………………… 36
4.4.1 時間調變實驗II……………………………………………… 37
4.4.2 空間調變實驗II……………………………………………… 38
4.4.3 實驗修改差別分析…………………………………………… 39


Chapter5 結論與未來發展……………………………………………… 40

參考文獻 ………………………………………………………………… 41

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