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  • 學位論文

於教學影片上進行索引和教學重點探勘之研究

Indexing and Teaching Focus Mining of Lecture Video

指導教授 : 李忠謀
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摘要


本研究提出一個適用於教學影片結構化與分析的方法,來提供使用者有效率地取得教學上的內容與知識,在不使用color-based 或 histogram-based的方法下,本研究提出一個edge-based的片段變化偵測演算法,來建立投影片切換時的結構,且可成功抵禦來自光線的影響,以及當影像中出現人或其他物體遮蔽投影片內容時,也可免於錯誤偵測的發生;當片段偵測階段完畢,本研究更進一步利用影片中講者的手勢以及聲音的資訊,來找尋講者欲強調內容在影像上的位置,分析探勘出教學重點,讓使用者更方便的學習。

並列摘要


We present a lecture video structuring and analysis scheme to provide students an efficient way to access the lecture content. Instead of using color-based or histogram-based methodologies, we propose a new edge-based shot change detection algorithm to accurately rebuild the slide structure. The proposed approach can successfully resist the unwanted influences induced from the variant illumination condition and occlusions. Furthermore, the teaching focus is analyzed according to the location which the instructor points and the audio information so that this system becomes more useful for learning.

參考文獻


[1] S. Ammouri, and G. A. Bilodeau, “Face and Hands Detection and Tracking Applied to the Monitoring of Medication Intake,” Canadian Conference on Computer and Robot Vision, pp. 147-154, Canadian, May 2008.
[2] C. Cotsaces, N. Nikolaidis, and I. Pitas, “Video Shot Detection and Condensed Representation a review,” IEEE Signal Processing Magazine, vol. 23, no. 2, pp. 28-37, Mar. 2006.
[3] H. Fang, J. Jiang, and Y. Feng, “A Fuzzy Logic Approach for Detection of Video Shot Boundaries,” Pattern Recognition, vol. 39, no. 11, pp. 2092-2100, Nov. 2006.
[4] A. M. Ferman, A. M. Tekalp, and R. Mehrotra, “Robust Color Histogram Descriptors for Video Segment Retrieval and Identification,” IEEE Trans. On Image Processing, vol. 11, no. 5, pp. 497-508, May 2002.
[5] C. Fredembach, M. Schroder, and S. Susstrunk, “Eigenregions for Image Classification,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 26, no. 12, pp. 1645-1649, Dec. 2004.

被引用紀錄


陳南羽(2017)。多媒體學習認知理論於教學影片設計與呈現之研究〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2017.00246

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