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    题名: Similarity retrieval of iconic image database
    作者: 沈錳坤
    Lee,Suh-Yin;Shan,Man-Kwan;Yang,Wei-Pang
    贡献者: 資科系
    关键词: Image database;Spatial relationship;Similarity retrieval;2D string;Longest common subsequence;Maximal complete subgraph
    日期: 1989
    上传时间: 2014-08-21 12:04:52 (UTC+8)
    摘要: The perception of spatial relationships among objects in a picture is one of the important selection criteria to discriminate and retrieve the images in an iconic image database system. The data structure called 2D string, proposed by Chang et al., is adopted to represent symbolic pictures. The 2D string preserves the objects` spatial knowledge embedded in images. Since spatial relationship is a fuzzy concept, the capability of similarity retrieval for the retrieval by subpicture is essential. In this paper, similarity measure based on 2D string longest common subsequence is defined. The algorithm for similarity retrieval is also proposed. Similarity retrieval provides the iconic image database with the distinguishing function different from a conventional database.
    關聯: Pattern Recognition,22(6),675-682
    数据类型: article
    DOI 連結: http://dx.doi.org/10.1016/0031-3203(89)90004-6
    DOI: 10.1016/0031-3203(89)90004-6
    显示于类别:[資訊科學系] 期刊論文

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