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Image retrieval is the project which allows performing search among pictures from internet resource. Instead of usual keyword and tag based search, images will be retrieved depending on its contents relevance.
An image retrieval system is a software system which is used to browse, search and retrieve images from a large database of digital images. It is a specialized search to find digital images. In most applications of image processing, it becomes necessary to find images by using text, keywords or by using any other
. The color histograms, Texture, GIST and invariant moments, used as features extraction methods, are combined together with multiclass support vector machine, Bayesian networks, Neural networks and nearest neighbour classifiers, in order to annotate the image content with the appropriate keywords. The accuracy of the
Content-based means that the search makes use of the contents of the images themselves, rather than relying on human inputted metadata such as captions or keywords. By content-based techniques, a user can specify contents of interest in a query. The contents may be colors, textures, shapes, or the spatial layout of
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.