Enhancing performance of image retrieval systems using dual tree complex wavelet transform and support vector machines
This paper presents a novel image retrieval system (SVMBIR) based on dual tree complex wavelet transform (CWT) and support vector machines (SVM). We have shown that how one can improve the performance of image retrieval systems by assuming two attributes. Firstly, images that user needs through quer...
| Permalink: | http://skupnikatalog.nsk.hr/Record/nsk.NSK01000709803/Details |
|---|---|
| Matična publikacija: |
CIT. Journal of computing and information technology 16 (2008), 1 ; str. 57-68 |
| Glavni autor: | Mumtaz, Adeel (-) |
| Ostali autori: | Gilani, Syed Asif Mahmood (-), Hameed, Kamran, Jameel, Tahir |
| Vrsta građe: | Članak |
| Jezik: | eng |
| Predmet: | |
| Online pristup: |
eCIT - Home page |
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| 100 | 1 | |a Mumtaz, Adeel | |
| 245 | 1 | 0 | |a Enhancing performance of image retrieval systems using dual tree complex wavelet transform and support vector machines / |c Adeel Mumtaz, Syed Asif M. Gilani, Kamran Hameed and Tahir Jameel. |
| 300 | |b Ilustr. | ||
| 504 | |a Bibliografija: 20 jed | ||
| 520 | |a This paper presents a novel image retrieval system (SVMBIR) based on dual tree complex wavelet transform (CWT) and support vector machines (SVM). We have shown that how one can improve the performance of image retrieval systems by assuming two attributes. Firstly, images that user needs through query image are similar to a group of images with same conception. Secondly, there exists non-linear relationship between feature vectors of different images and can be exploited very efficiently with the use of support vector machines. At first level, for low level feature extraction we have used dual tree complex wavelet transform because recently it is proven to be one of the best for both texture and color based features. At second level to extract semantic concepts, we grouped images of typical classes with the use of one against all support vector machines. We have also shown how one can use a correlation based distance metric for comparison of SVM distance vectors. The experimental results on standard texture and color datasets show that the proposed approach has superior retrieval performance over the existing linear feature combining techniques | ||
| 653 | |a Slika |a Obrada |a Kompresija |a Valne funkcije | ||
| 700 | 1 | |a Gilani, Syed Asif Mahmood | |
| 700 | 1 | |a Hameed, Kamran | |
| 700 | 1 | |a Jameel, Tahir | |
| 773 | 0 | |t CIT. Journal of computing and information technology |x 1330-1136 |g 16 (2008), 1 ; str. 57-68 |w nsk.(HR-ZaNSK)000018028 | |
| 981 | |b B02/08 | ||
| 998 | |a luko090817 |c rpeo110120 | ||
| 856 | 4 | 2 | |u http://cit.zesoi.fer.hr/home.php |y eCIT - Home page |