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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/37455


    Title: Content-based image retrieval with intensive signature via affine invariant transformation
    Authors: Shih, Timothy K.;Deng, Lawrence Y.;Wang, Ching-Sheng;Yeh, Sheng-En
    Contributors: 淡江大學資訊工程學系
    Keywords: 內容式影像檢索;特徵;數位圖書館;物件偵測;相似性測量;仿射不變性;Content Based Image Retrieval;Signature;Digital Library;Object Detection;Similarity Measure;Affine Invariance
    Date: 2000-12
    Issue Date: 2010-04-15 09:46:26 (UTC+8)
    Publisher: Institute of electrical and electronics engineers (IEEE)
    Abstract: Web content-based image retrieval is being implemented in many databases, especially in digital libraries. In many specialized fields, professionals often wish the content-based image retrieval system could provide more sensitive shape and color matching to exploit or classify some kinds of species. In our experience, ecosystem synopsis is the obvious illustration. Hence, we offer a series of methods to solve these problems: the defined signature of the object, with object detection/separation and normalization; the shape representations and similarity measurement with affine invariants; the color feature and similarity measurement; and the content-based image retrieval system requirements and design issues
    Web Content-based image retrieval is being implement in many databases especially in digital libraries. In many specialized fields, professionals often wish the content-based image retrieval system could
    Relation: 2000年多媒體軟體工程研討會論文集œƒ=International Symposium on Multimedia Software Engineering,頁393-400
    DOI: 10.1109/MMSE.2000.897241
    Appears in Collections:[資訊工程學系暨研究所] 會議論文

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