N. S. T. Sai

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Rapid progress of multimedia and computing application has brought explosive growth in digital images in computer systems and in networks. Similarity matching is one of the important tasks in Content Based Image Retrieval (CBIR). Similarity matching requires distance computation of feature vectors for each candidate image in image database. Conventional(More)
The process of digitization does not in itself make image collections easier to manage. Some form of cataloguing and indexing is still necessary – the only difference being that much of the required information can now potentially be derived automatically from the images themselves. The extent to which this potential is currently being realized is discussed(More)
With the advancement in image capturing device, the image data been generated at high volume. If images are analyzed properly, they can reveal useful information to the human users. Content based image retrieval address the problem of retrieving images relevant to the user needs from image databases on the basis of low-level visual features that can be(More)
Content based image retrieval address the problem of retrieving images relevant to the user needs from image databases on the basis of low-level visual features that can be derived from the images. Grouping images into meaningful categories to reveal useful information is a challenging and important problem. This paper represent effective approaches for(More)
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