A new spatial relation model for image indexing and similarity retrieval
學年 90
學期 1
發表日期 2001-08-22
作品名稱 A new spatial relation model for image indexing and similarity retrieval
作品名稱(其他語言)
著者 王英宏; Wang, Ying-hong; Chien, Tai-lung
作品所屬單位 淡江大學資訊工程學系
出版者 Institute of Electrical and Electronic Engineers (IEEE)
會議名稱 Multimedia and Expo, 2001. ICME 2001. IEEE International Conference on
會議地點 Tokyo, Japan
摘要 In this paper, a new spatial knowledge representation model named "Two Dimension Begin-End Boundary String "(2D Be-string) is proposed. The 2D Be-string represents an icon by its MBR boundaries and a number of "dummy objects". The 2D Be-string can intuitively and naturally represent the pictorial spatial information without any spatial operator. In addition, an image similarity evaluation method based on the modified "Longest Common Subsequence" (LCS) algorithm is presented. By the proposed evaluation method, not only those images which all of the icons and their spatial relationships fully accord with the query image can be sifted out, but also those images which partial icons and/or spatial relationships are similar to the query image can be applied to. It resolves the problems that the query targets and/or spatial relationships are not certain. Our representation model and similarity evaluation also simplify the retrieval progress of linear transformations, including rotation and reflection of an image.
關鍵字
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20010822~20010825
通訊作者
國別 JPN
公開徵稿
出版型式
出處 Multimedia and Expo, 2001. ICME 2001. IEEE International Conference on, pp.957-960
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