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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/35093

    Title: 運用自助式建構法建立素材庫之設計
    Other Titles: The design of images database by using bootstrapping
    Authors: 陳一帆;Chen, Yi-fan
    Contributors: 淡江大學資訊工程學系碩士班
    郭經華;Kuo, Chin-hwa
    Keywords: 圖像素材庫;高階特徵;自助式建構法;特徵鑑別公制;圖像分類;關鍵字延伸;HighLevelFeature;BootstrappingConstruction;DiscriminativeFeatureMetric;KeywordExpansion
    Date: 2006
    Issue Date: 2010-01-11 06:00:37 (UTC+8)
    Abstract: 本論文中,我們設計了一個圖像素材庫。此系統的設計目的,在於能自動的幫助使用者整理圖像,對圖像資源作適當的分類,藉此省下使用者的人力以及時間。


    In this paper, we have designed a database that can automatically classify images, for the purpose of sorting through a large number of images more conveniently and thus save manpower and resources.

    This database is characterized by high level features (text-based) to image classifying. Its features include: extending a keyword through bootstrapping construction. First of all bootstrapping construction method extended words that the user manually inputted, and then increased the value and number of classificatory keywords. The keywords and classificatory keywords after extension underwent similarity value calculations. Finishing this step results in an initial classifying for images, and the step is repeated until there are no more changes in the classifications.

    Whereas common ways of extending a keyword deal with its definition, bootstrapping construction allows expansion through associative extension. This type of keyword expansion mechanism is capable of classifying images in ways that WordNet cannot. Aside from using bootstrapping construction to expand keywords and to classify images, we have also added a discriminative feature metric to increase the precision and recall rates of image classifying to our standards.
    Appears in Collections:[資訊工程學系暨研究所] 學位論文

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