An Efficient Approach using SVM Image Classifier for CBIR |
Author(s): |
| Meghana R , East West Institute of Technology; Santhosh Kumar G, East West Institute of Technology |
Keywords: |
| SVM, Image classifier, CBIR |
Abstract |
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Popularity is growing in the field of multimedia and networking. Consumers are not satisfied with the traditional form of image retrieval systems. Content Based Image retrieval (CBIR) is done by using support vector machine (SVM) image classifier. Fast results are obtained using compared to other classifiers SVM is used to find out the optimal result. It also evaluates the generalization ability under the limited training samples. In this paper we explain the need of support vector machine and mathematically describes the proposed system i.e. optimal separating hyper planes and its other cases and at last shows the different kernel function for mapping purpose upon all the data samples. It helps in reducing sematic gap and sensory gap Image database contains about 1000 images from 10 different categories where 100 images corresponds to each category. |
Other Details |
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Paper ID: IJSRDV3I31566 Published in: Volume : 3, Issue : 3 Publication Date: 01/06/2015 Page(s): 3230-3232 |
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