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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Selamat, A. Ismail, M.K. |
| Copyright Year | 2008 |
| Description | Author affiliation: Univ. Technol. Malaysia, Johor Bahru (Selamat, A.; Ismail, M.K.) |
| Abstract | The performance of the Content Based Image Retrieval (CBIR) can compute using similarity of the images where user can retrieve from the image database. The term similarity in the mind of the user may different depends on the search query and the experience of the user which has been using the similar applications. When the users are not satisfied with their search results, the relevance feedback (RF) retrieval is one of the solutions for this critical problem. The user needs to use this feedback on the next retrieval process in order to increase the retrieval performance. In this paper, we have used a relevant feedback approach based on Gustafson-Kessel (GK) clustering approach in order to evaluate the effectiveness of the image retrieval results from the users. From the experiments, we have found that the RF method using Gustafson-Kessel (GK) clustering can improve the retrieval performance of the CBIR system even if we are using a large set of image datasets with a variety of images.. |
| Starting Page | 455 |
| Ending Page | 459 |
| File Size | 560147 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424416912 |
| DOI | 10.1109/ICCCE.2008.4580646 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-05-13 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Radio frequency Computer science Content based retrieval Image databases Shape Feedback Image retrieval Information retrieval Data engineering Testing |
| Content Type | Text |
| Resource Type | Article |
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