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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Efficient Relevance Feedback for CBIR System |
| Authors Name: | Priti Prasad Vaidya |
| Unique Id: | IJSDR1603018 |
| Published In: | Volume 1 Issue 3, March-2016 |
| Abstract: | The performance of the CBIR system can be improved by reducing the semantic gap between visual features and human semantics. Relevance Feedback (RF) approach refines the retrieval process as per users feedback. A variety of Relevance Feedback (RF) methods have been widely used to reduce the semantic gap. Related works on CBIR are also investigated and it was observed that existing Relevance Feedback techniques face the challenges of number of iterations and the execution time. To improve the retrieval efficiency of the existing system, the proposed RF approach makes use of binary classifier and a feature selection technique to reduce the dimensionality of the image feature space. In each RF iteration, the positive and negative examples provided by the user will be used to determine a small number of the most important features for the classification. After the feature selection has been performed, a binary classifier will be trained to distinguish between relevant and irrelevant images according to the preferences of the user for the given query. The trained classifier will be used later to provide an updated ranking of the database images represented in the space of the selected features. |
| Keywords: | Content based image retrieval (CBIR); Relevance Feedback (RF); Feature selection; Binary classifier |
| Cite Article: | "Efficient Relevance Feedback for CBIR System", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 3, page no.95 - 99, March-2016, Available :http://www.ijsdr.org/papers/IJSDR1603018.pdf |
| Downloads: | 000337070 |
| Publication Details: | Published Paper ID: IJSDR1603018 Registration ID:160062 Published In: Volume 1 Issue 3, March-2016 DOI (Digital Object Identifier): Page No: 95 - 99 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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