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Automatic Keyword and Content-Based Image Retrieval by Intelligent Clustering Techniques


Affiliations
1 Sree Saraswathi Thyagaraja College, Pollachi, India
2 WebNet Media of Computers, Coimbatore, India
     

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The KCLUster-based rEtrieval(KCLUE), groups the image based on the similarity measure, so that there is maximum similarity with in the cluster and minimum similarity between the two clusters and then retrieve the images related to the query. The cluster based retrieval of images tackles the semantic gap problem. The Content-Based Image Retrieval (CBIR) extract the feature of the images and the images with maximum similarity with that of the query is retrieved. This paper makes use of both the concept to retrieve the images. The CBIR system-using KCLUE is called as Content-Based Image Clusters Retrieval (CBICR). The keyword-based retrieval along with the CBIR system retrieves the relevant images more effectively and it consumes less amount of time. The keyword based retrieval is done and the Nearest Neighbor Method is used to locate neighbor of the target image. The N-cut algorithm is used to organize the cluster.

Keywords

Back Propagation, CBIR, KCLUE.
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  • Automatic Keyword and Content-Based Image Retrieval by Intelligent Clustering Techniques

Abstract Views: 263  |  PDF Views: 4

Authors

S. Vinodkumar
Sree Saraswathi Thyagaraja College, Pollachi, India
P. R. Lakshmi
WebNet Media of Computers, Coimbatore, India

Abstract


The KCLUster-based rEtrieval(KCLUE), groups the image based on the similarity measure, so that there is maximum similarity with in the cluster and minimum similarity between the two clusters and then retrieve the images related to the query. The cluster based retrieval of images tackles the semantic gap problem. The Content-Based Image Retrieval (CBIR) extract the feature of the images and the images with maximum similarity with that of the query is retrieved. This paper makes use of both the concept to retrieve the images. The CBIR system-using KCLUE is called as Content-Based Image Clusters Retrieval (CBICR). The keyword-based retrieval along with the CBIR system retrieves the relevant images more effectively and it consumes less amount of time. The keyword based retrieval is done and the Nearest Neighbor Method is used to locate neighbor of the target image. The N-cut algorithm is used to organize the cluster.

Keywords


Back Propagation, CBIR, KCLUE.



DOI: https://doi.org/10.36039/ciitaas%2F1%2F1%2F2009%2F107049.22-26