| 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 | en |
| ISSN | |
| 期刊性質 | 國外 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | TWN |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/64008 ) |
| SDGS | 優質教育,產業創新與基礎設施 |
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