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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/37136

    题名: Content-based image retrieval with intensive signature
    作者: Tyan, Hsiao-rong;施國琛;Shih, Timothy K.;Wang, Ching-sheng;Deng, Lawrence;Kao, Chuan-ho
    贡献者: 淡江大學資訊工程學系
    关键词: content-based;image;retrieval;signature;digital libraries
    日期: 1999-08-03
    上传时间: 2010-01-11 12:27:34 (UTC+8)
    摘要: eb 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.
    關聯: First international workshop on software engineering and multimedia applications(SEMA'99), Baden-Baden, Germany
    DOI: 10.1109/MMSE.2000.897241
    显示于类别:[資訊工程學系暨研究所] 會議論文


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