教師資料查詢 | 類別: 期刊論文 | 教師: 張誠 Feng-cheng Chang (瀏覽個人網頁)

標題:A Relevance Feedback Image Retrieval Scheme Using Multi-Instance and Pseudo Image Concepts
學年94
學期2
出版(發表)日期2006/05/01
作品名稱A Relevance Feedback Image Retrieval Scheme Using Multi-Instance and Pseudo Image Concepts
作品名稱(其他語言)
著者Chang, F. C.; Hang, H.-M.
單位淡江大學資訊軟體學系
出版者
著錄名稱、卷期、頁數IEICE Trans. on Information and Systems E89-D(5), pp.1720-1731
摘要Content-based image search has long been considered a difficult task. Making correct conjectures on the user intention (perception) based on the query images is a critical step in the content-based search. One key concept in this paper is how we find the user preferred image characteristics from the multiple positive samples provided by the user. The second key concept is that when the user does not provide a sufficient number of samples, how we generate a set of consistent "pseudo images". The notion of image feature stability is thus introduced. The third key concept is how we use negative images as pruning criterion. In realizing the preceding concepts, an image search scheme is developed using the weighted low-level image features. At the end, quantitative simulation results are used to show the effectiveness of these concepts.
關鍵字
語言英文
ISSN
期刊性質國外
收錄於
產學合作
通訊作者
審稿制度
國別中華民國
公開徵稿
出版型式,電子版
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