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    Title: An Intelligent Content-based Image Retrieval System Based on Color, Shape, and Spatial Relations
    Authors: Timothy K. Shih;Jiung-Yao Huang;Ching-Sheng Wang;Jason C. Hung;Chuan-Ho Kao
    Keywords: content-based image retrieval, image database, color, shape, spatial relation
    Date: 2001-05
    Issue Date: 2009-12-03 16:31:58 (UTC+8)
    Publisher: Asia University
    Abstract: Content-based multimedia information retrieval is an interesting but difficult research. Current approaches include the use of
    color, texture, and shape information. In this paper, we present a hybrid approach, which incorporates color, shape and spatial
    relations among objects in a picture, to retrieve images from nearly 5000 pictures. A revised color scheme and its indexing
    technique are used to improve the efficiency of retrieval, according to our clustering method and color sensation. A seed filling
    like mechanism is used to extract shape and spatial relations among objects. Qualitative approach is applied to the similarity
    comparison of spatial differences. The system also implemented with a friendly GUI, which allows sketch images, as well as
    relevance feed back to improve the accuracy of retrieval. Our experience shows that the system is able to retrieve image
    information efficiently by the proposed approaches.
    Relation: Proceedings of the National Science Council, ROC, Part A: Physical Science and Engineering 25(4):232-243
    Appears in Collections:[Department of Computer Science and Information Engineering] Journal Artical

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