In today's scenario when social media sites are widely used and high resolution images are shared. Tagging is an important approach for the retrieval of images in various applications. These are also used to manage personal media data. There are various techniques implemented for the image retrieval such as feature based, histogram based and transformation based but these techniques are not efficient in terms of classification ratio and accuracy. Here in this paper various tag based image technique are discussed so by analyzing the tag based image retrieval techniques a new proposed methodology can be implemented in the future.
Image retrieval is a technique of accessing texts or images from the web. Although there are various techniques implemented for the image retrieval such as using content based or tag based. Hence by using the technique for the image retrieval can be used in various fields. Tag based Image retrieval is a technique also used for the efficient retrieval of images [1]. Although the technique is efficient but it provides less accuracy, hence for the better access of the image retrieval based on tags segmentation is done and then matrix is generated to classify the images and hence can be retrieved in more accurate manner.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.