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研究生: 林宏隆
論文名稱: 人性化電子相簿
Personal Digital Photo Album
指導教授: 黃怡誠
學位類別: 碩士
Master
系所名稱: 資訊教育研究所
Graduate Institute of Information and Computer Education
論文出版年: 2006
畢業學年度: 94
語文別: 中文
論文頁數: 78
中文關鍵詞: 分類人性化電子相簿
英文關鍵詞: cluster, personal digital photo album
論文種類: 學術論文
相關次數: 點閱:105下載:5
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  • 摘 要

    人性化電子相簿

    林宏隆

    數位相機已經在日常生活中越來越普遍,伴隨而來的即是數位相片管理方式的問題。當日積月累收集到龐大數量的數位相片時,相片若是沒有經過有意義的分類而加以儲存,日後若想要從這一堆雜亂無序的數位相片中,找出一張想要回顧的相片,必定要花費一番功夫才有可能找到。若有一個能幫助使用者將一堆數位相片分門別類的系統,而且分類的結果可以讓使用者在短時間內找到目標相片,則使用者在數位相片的尋找上,將會有相當好的效率。
    人性化電子相簿即是一個將一堆數位相片做好分類的系統。首先分析數位相片的內容,之後再進行相片之間的計算,將差距最小的相片聚集在同一個分類中,聚集的結果也呈現讓使用者易於瀏覽的界面。經過實際測試發現,系統對於一千多張數位相片進行資料分析之後,一千多張相片進行合併分類所花費的時間僅控制在7秒鐘左右,算是很不錯的表現。分類之後使用者輸入一張相似的數位相片並由系統進行尋找,系統即能找出適合該張相片的分類資料夾,若使用者自行尋找也能快速地從相簿中找出目標相片,顯示人性化電子相簿有相當好的分類效果。

    ABSTRACT

    Personal Digital Photo Album

    by

    Hung-Lung Lin

    Digital cameras have been more and more popular in daily life. The problem is the managing of digital photos. If you do not use meaning ways to cluster and save those photos, then you will not search the photo you want in other days. It will be a great help that if there is a system which can help users cluster those photos, and the results of clustering can help users search photos they want in a short time.
    Personal digital photo album is a system which can cluster photos. At first, it will analyze the content of digital photos. After calculating photos’ content, it will aggregate similar photos into the same cluster. Of course, the results of aggregating show the convenience of users browsing interface. Approved by actual tests for the analyzing of more than one thousand photos, we find that the system only uses seven seconds to combine and cluster. It really did a good job. After clustering users can input one similar photo, and the system shows the appropriate cluster to the photo. Users can quickly get the photos they want in the album too. It shows this personal digital photo album has a quite well effect with clustering.

    附圖目錄 viii 第一章 導論 1 第一節 研究動機 1 第二節 相關研究 3 第三節 研究方向及成果 5 第四節 章節安排 6 第二章 背景知識 7 第一節 S. Liapis and G. Tziritas的分類方法 7 第二節 S. J. Yang, K. S. Seo, and Y. M. Ro的分類方法 8 第三節 J. C. Platt的研究方法 9 第四節 R、G、B檔案格式 13 第五節 金字塔式組織及瀏覽方式 16 第六節 MPEG 7 18 第三章 實驗方法 20 第一節 正規化JPG圖像檔案 20 第二節 讀取圖像檔案並進行資料運算 23 第三節 資料儲存方式 25 第四節 合併數位相片 27 第五節 數位相片的尋找 33 第六節 實驗系統環境 33 第四章 實驗結果 36 第一節 以十張左右的數位相片作分析 36 第二節 以五十張左右的數位相片作分析 41 第三節 以一百張左右的數位相片作分析 50 第四節 以一千張左右的數位相片作分析 60 第五節 實驗數據總結整理 67 第五章 結論與展望 72 第一節 總結與討論 72 第二節 展望 74 參考文獻 75

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