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- W23629758 abstract "In an iconic image database system, the perception of spatial relationships among objects in a picture is one of the important selection criteria to discriminate and retrieve the images. Since spatial relationship is a fuzzy concept, the capability of similarity retrieval for the retrieval by subpicture is essential. The data structure called 2D string, proposed, by Chang et al., is adopted to represent symbolic pictures. Similarity measure based on 20 string longest cormon subsequerzce is defined. The algorithm for similaxity retrieval is proposed. of images, which is-one of the distinguishing functions different from a conventional database, is a necessity. In this papei, the algorithm for similarity retrieval, based on the 2D string longest co-n subsequence, is proposed. We first review the 2D string approach of representing symbolic pictures. Section 3 presents the similarity retrieval based on the 2D string longest common subsequence. The conclusions and sugROACH" @default.
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- W23629758 date "1989-01-01" @default.
- W23629758 modified "2023-09-23" @default.
- W23629758 title "Similarity Retrieval of Iconic Images Based on 2D String Longest Common Subsequence." @default.
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