| 姓名 |
包元輝(YUAN-HUI PAO)
查詢紙本館藏 |
畢業系所 |
資訊工程學系在職專班 |
| 論文名稱 |
以影像辨識為基礎之仿特效機雙影像合成
(Imitation of Special Effect Machine in Dual Image Synthesis Based on Image Recognition)
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| 相關論文 | |
| 檔案 |
 [Endnote RIS 格式]
[Bibtex 格式]
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| 摘要(中) |
在這個電腦網路教學的時代裡，技術與設備汰換速度相當的快。
不單是遠距教學，連同視訊會議，亦高度依賴著電腦技術及其支援設備的發展。多媒體教材(Content)與演講者影像(People)一併傳送到接收者眼前已經變成了不可避免的趨勢。然而，能達成此目標的設備價位相當高，也因此阻礙了實際應用。倘若設備的價格能降低，同時又能維持同等的品質與功能，則毫無疑問地，這類型設備的應用將會被廣泛的快速推廣。
本論文在發展一套可自動合成演講者影像及教材的系統，以達到
較有效率的教學目標。在本系統裡，我們將結合演講者的影像，並將之混合於演講內容最適合的位置，一併呈現給接收端，採用的都是以影像為基礎的技術。
實驗部份，透過許多影像合成的測試，證實出我們提議的系統之
可行性及有效性。實驗結果顯示此影像及內容自動結合的系統確實可行。
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| 摘要(英) |
In this era of computer network teaching, the speed of technology and equipment replacement is very quick. Not only distant learning but also video conferencing rely heavily on the development of computer technologies and supporting equipments. It is an inevitable trend that the
image of speaker in conjunction with the speaking content can be delivered to the receiver simultaneously to increase the learning effect. However, the equipment in achieving the goal is quite high to hinder its
practical applications. If the cost of the equipment can be reduced while attaining its original functionality and quality, it will surely boost its
spreading.
In this thesis, we aim at developing a system which can
automatically compose the images of speaker and speaking content to achieve the goal of effective teaching. In the proposed system, the image of speaker will be captured and pasted on the best-fit part of speaking content to form a composed image to be sent to the receiver. The techniques that we adopt in accomplishing the goal are all image-based technologies.
In the experiments, various video clips were tested to verify the feasibility and validity of our proposed system. Experimental results reveal the soundness of the proposed system in automatic speaker and
speaking content composition.
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| 關鍵字(中) |
★ 特效機
★ 最大內矩
★ 影像合成
★ 視訊會議
★ 遠距教學 |
關鍵字(英) |
★ video conference
★ distance learning
★ Special Effect Machine
★ Image Synthesis |
| 論文目次 |
Abstract..................................................................... ii
摘要............................. ............................................ iii
誌謝 ......................................................................... iv
目錄 .......................................................................... v
附圖目錄 ................................................................. vii
第一章緒論.................................................................. 1
1.1 研究動機 ............................................................. 1
1.2 相關研究 ............................................................. 2
1.2.1 遠距教學部份 .................................................. 2
1.2.2 影像動態偵測部份 .......................................... 2
1.2.3 邊緣部份 .......................................................... 3
1.2.4 最大內矩形部份 .............................................. 3
1.3 系統架構 ............................................................. 4
1.4 論文架構 ............................................................. 5
第二章基礎介紹 ........................................................ 7
2.1 特效機的應用 ..................................................... 7
2.2 視訊會議、同步遠距教學、課程錄影 ............. 8
2.3 雙視訊流 ............................................................ 11
第三章影像前處理 ....................................................13
3.1 情境判斷 ............................................................ 13
3.2 動態、靜態判斷 ................................................ 14
3.3 尋找邊緣(Edge) .................................................. 16
3.4 固定邊框去除 .................................................... 19
第四章尋找最適合區塊 ........................................... 22
4.1 可能區塊 ............................................................ 22
4.2 最大內矩型 ........................................................ 25
4.3 修正比例 ............................................................ 27
4.4 選擇區塊 ............................................................ 28
4.5 影像合成 ............................................................ 31
第五章實驗結果 ....................................................... 32
5.1 實驗結果 ............................................................ 32
5.2 模板大小比較 .................................................... 34
第六章結論與未來工作 ........................................... 37
6.1 結論 .................................................................... 37
6.2 未來工作 ............................................................ 37
參考文獻 ................................................................... 40
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| 參考文獻 |
[1] 施富川，“網路教學同步教室的教學模式探討”。碩士論文，國立中山大學，2005.
[2] 汪承蓉，“實施網路教學線上即時授課之問題探討與解決方法”。碩士論文，國立中山大學，2004.
[3] 林宏展。“以數位教室環境增進同步遠距教學之臨場感"。碩士論文，國立中央大學，2006.
[4] A.J. Lipton, H. Fujiyoshi and R.S. Patil, “Moving target classification and tracking from real-time video,” in Proc. IEEE Workshop Applications of Computer Vision, pp.8-14, 1998.
[5] T. Horprasert, D. Harwood and L.S. Davis, “A statistical approach for real-time robust background subtraction and shadow detection,”in Proc. IEEE Frame-Rate Workshop, 1999.
[6] B. Chen and Y. Lei, “Indoor and outdoor people detection and shadow suppression by exploiting HSV color information,” in Proc. IEEE Conf. Computer and Information Technology, pp.137-142, 2004.
[7] M. Orlowski, “A new algorithm for the largest empty rectangle problem,” Algorithmica, pp.65-73, VOL.5, 1990.
[8] J. Canny, “A computational approach to edge detection,” IEEE Trans. Pattern Analysis and Machine Intelligence, VOL. 8, NO. 6, pp.679-698, 1986.
[9] 彭振軒，“使用樣版比對做進出口行人數量統計”。碩士論文，國立中央大學，2006.
[10] 張博棣，“自動延伸技巧之未知結構重建與影像補全”。碩士論文，國立中央大學，2008.
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| 指導教授 |
范國清(Kuo-Chin Fan)
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審核日期 |
2012-7-19 |
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