English  |  正體中文  |  简体中文  |  Items with full text/Total items : 54507/89241 (61%)
Visitors : 10576233      Online Users : 32
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/45470

    Title: A Qualitative Approach to Content-Based Color Image Retrieval with Chinese Captions
    Authors: 施國琛;Shih, Timothy K.;葛煥昭;Keh, Huan-chao;Wang, Ching-sheng;Chang, Anthony Y.;Kao, Chuan-ho
    Contributors: 淡江大學資訊工程學系
    Keywords: content-based image retrieval;image database;qualitative spatial relation;color;shape
    Date: 2000-06
    Issue Date: 2010-03-26 19:22:19 (UTC+8)
    Publisher: World Scientific Publishing
    Abstract: This paper presents an intelligent method of retrieving images with Chinese captions from an image database. We combine color, shape and spatial features of the image to index and measure the similarity of images. As a technical contribution, a Seed-Filling like algorithm that could extract the shape and spatial relationship feature of images is proposed. Due to the difficulty of determining how far objects separate, we use qualitative spatial relations to analyze object similarities. Also, the system is incorporated with a visual interface and a set of tools, which allows the users to express the query by specifying or sketching the images conveniently. Besides, our feedback learning mechanism enhances the precision of retrieval. Our experience shows that the system is able to retrieve image information efficiently by the proposed approaches.
    Relation: International journal of computer processing of oriental languages 13(2), pp.131-159
    DOI: 10.1142/S0219427900000120
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

    Files in This Item:

    File SizeFormat

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback