Author: |
白恒瑞 |
---|---|
Thesis Title: |
投影片換頁特效分類之研究:以教學影片為例 Detection and Classification of Special Effects within Lecture Slides |
Advisor: |
李忠謀
Lee, Chung-Mou |
Degree: |
碩士 Master |
Department: |
資訊教育研究所 Graduate Institute of Information and Computer Education |
Thesis Publication Year: | 2008 |
Academic Year: | 96 |
Language: | 中文 |
Number of pages: | 41 |
Keywords (in Chinese): | 換頁特效 、特效分類 |
Thesis Type: | Academic thesis/ dissertation |
Reference times: | Clicks: 88 Downloads: 9 |
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由於錄影工具的大眾化,使得人人皆能夠自行錄製影片,而線上教學系統即
可利用老師授課時所錄製的影片,置於線上供學生隨時學習甚至複習。但由於一節課影片相當冗長,而學生在複習時也許只對某些上課片段不了解,為了避免觀看特定片段卻需要下載完整影片而浪費許多時間,於是視訊切割的重要性相對地大大增加,但由於教師在製作投影片時,會為了授課時更加地生動活潑,因此投影片中除了靜態的文字和圖片之外,仍有著動態文字特效、動態圖片、動態換頁特效等等效果加入,因此本研究希望提出一個方法,可以判斷出動態換頁特效的存在,並正確地將其分類。
本研究可分為兩個主要階段:第一階段為取出有變化的畫面,採用較簡易快
速的pixel difference 演算法,並由灰階及二元化兩方資訊相輔相成,從大量的連續畫面中偵測出含有變化的許多動態變化片段資訊出來。第二階段則是偵測換頁特效,此動態效果在此研究中定義成三種類型,分別是掃瞄線變化類別(SCT)、分散式變化類別(DCT)、位移變化類別(MCT)。SCT 的判斷方式是先求出水平及垂直投影圖,再利用連續畫面中各畫面與首張及結尾畫面之間進行DPAO 演算法比較求出最小距離,再依照分別對於首張及結尾畫面的距離數據計算其相關性,達到一定程度的負相關者則判斷為SCT 類別;DCT 則是使用與首張和結尾畫面的灰階圖相減,並計算含有變動的pixel 數量,再依照相同的相關性計算方式判斷是否為DCT 類別;MCT 則為不符合前兩項類別則為此類別。最後再經由區塊比對將被判定為SCT 及DCT 的資料中再次進行分類,以求更高的分類正確率。
本研究以avi 格式影片作為實驗,將自動偵測出投影片換頁特效的起始點,
並將換頁特效分類,實驗結果其偵測準確率可達96%以上,而分類準確率可達
91%。
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