標題: | A relevance feedback image retrieval scheme using multi-instance and pseudo image concepts |
作者: | Chang, Feng-Cheng Hang, Hsueh-Ming 電子工程學系及電子研究所 Department of Electronics Engineering and Institute of Electronics |
關鍵字: | image retrieval;perception weighting;relevance feedback |
公開日期: | 1-五月-2006 |
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 low-level image characteristics from the multiple positive samples provided by the user. The second key concept is how we generate a set of consistent "pseudo images" when the user does not provide a sufficient number of samples. 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 lowlevel image features. At the end, quantitative simulation results are used to show the effectiveness of these concepts. |
URI: | http://dx.doi.org/10.1093/ietisy/e89-d.5.1720 http://hdl.handle.net/11536/12266 |
ISSN: | 0916-8532 |
DOI: | 10.1093/ietisy/e89-d.5.1720 |
期刊: | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS |
Volume: | E89D |
Issue: | 5 |
起始頁: | 1720 |
結束頁: | 1731 |
顯示於類別: | 期刊論文 |