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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Basak, J. Bhattacharya, K. Chaudhury, S. |
| Copyright Year | 1992 |
| Abstract | In this paper, we design a content-based image retrieval system where multiple query examples can be used to indicate the need to retrieve not only images similar to the individual examples, but also those images which actually represent a combination of the content of query images. We propose a scheme for representing content of an image as a combination of features from multiple examples. This scheme is exploited for developing a multiple example-based retrieval engine. We have explored the use of machine learning techniques for generating the most appropriate feature combination scheme for a given class of images. The combination scheme can be used for developing purposive query engines for specialized image databases. Here, we have considered facial image databases. The effectiveness of the image retrieval system is experimentally demonstrated on different databases |
| Sponsorship | IEEE Signal Processing Society |
| Page Count | 11 |
| File Size | 2004004 |
| Starting Page | 3773 |
| Ending Page | 3783 |
| File Format | |
| ISSN | 10577149 |
| Volume Number | 15 |
| Issue Number | 12 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-12-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image retrieval Independent component analysis Image databases Content based retrieval Engines Information retrieval Indexing Shape Principal component analysis Machine learning multiple exemplars Content-based image retrieval (CBIR) independent component analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Graphics and Computer-Aided Design Software |
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