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Mining in Navigation-Pattern Using Content-Based Image Retrieval

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Executive Summary

Research has been devoted in the past few years to relevance Feedback as an effective solution to improve performance of Content-Based Image Retrieval (CBIR). In this paper, the authors propose a color image pattern for further use, which reduce the iteration of image. To achieve the high efficiency and effectiveness of CBIR they are using two type of methods for feature extraction like SVM (Support Vector Machine) and NPRF (Navigation-Pattern based Relevance Feedback).By using SVM classifier as a category predictor of query and database images, they are exploited at first to filter out irrelevant images by its different low-level, concept and key point-based features.

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