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An Efficient Indexing for Content Based Image Retrieval Based on Number of Clusters Using Clustering Technique
2017
International Journal of Artificial Intelligence and Applications for Smart Devices
Low-level visual features like color, shape, texture are being used for representing and retrieving images in many Content-Based Image Retrieval systems. Generally such methods suffer from the problems of high dimensionality leading to more computational time and inefficient indexing and retrieval performance. This paper focuses on a cluster based indexing technique for achieving efficient and effective retrieval performance. We present a simple index based on number of clusters that are
doi:10.14257/ijaiasd.2017.5.1.01
fatcat:ooekqrtzmzeb7bculblaa4axuu