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    ASIA unversity > 資訊學院 > 資訊工程學系 > 會議論文 >  Item 310904400/7635


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/7635


    Title: Content-based Image Retrieval with Intensive Signature via Affine Invariant Transformation
    Authors: Timothy K. Shih;Ching-Sheng Wang;Chuan-Ho Kao
    Keywords: content-based image retrieval;signature;digital libraries
    Date: 2000-12
    Issue Date: 2010-01-29 15:57:07 (UTC+8)
    Publisher: Asia University
    Abstract: 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 provide more sensitive at shape and color
    matching to exploit or class& some kinds of species.
    In our experience, ecosystem synopsis of natural is
    the obvious illustration. Hence, we offered a series of
    methods to aim at these problems for solving. Such as
    defined the signature of the object, with Object
    Detection /Separation and Normalization, the Shape
    Representations and Similarity Measurement with
    a@ine invariants, the color feature and similarity
    measurement, the Content-based Image Retrieval
    System Requirements and Design issues.
    Relation: Proceedings of The IEEE MSE 2000 International Symposium on Multimedia Software Engineering, Taipei, Taiwan, Dec. 11-13, 2000.
    Appears in Collections:[資訊工程學系] 會議論文

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