Content Based Image retrieval Using Visual Features - Tapa blanda

Sinopsis

Present day applications require various kinds of images and pictures as a source of information for interpretation and analysis .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 discusses the state of the art of the content based image retrieval highlighting the main components and reviewing various approaches of CBIR focusing on efficiency of retrieval.

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