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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/249

Title: CONTENT BASED IMAGE RETRIEVAL
Authors: BABY MANJUSHA P., MANJUSHA P.
Keywords: content
image retrieval
color
shape
texture
indexing
similarity
Issue Date: 14-Jun-2010
Abstract: Recently, digital content has become a significant and inevitable asset for any enterprise and the need for visual content management is on the rise as well. There has been an increase in attention towards the automated management and retrieval of digital images owing to the drastic development in the number and size of image databases. A significant and increasingly popular approach that aids in the retrieval of image data from a huge collection is called Content-based image retrieval (CBIR). Content-based image retrieval has attracted voluminous research in the last decade paving way for development of numerous techniques and systems besides creating interest on fields that support these systems. CBIR indexes the images based on the features obtained from visual content so as to facilitate speedy retrieval. This report discuss the state of the art of the content based image retrieval highlighting the main components and reviewing various approaches employed at each stage, while enhancing the main challenges and key contributions.
URI: http://hdl.handle.net/123456789/249
Appears in Collections:MTech 2009-2011 Batch

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