A TUTORIAL REVIEW OF AUTOMATIC IMAGE TAGGING TECHNIQUE USING TEXT MINING

Abstract

With the advent of time, the number of images being captured and shared online has grown exponentially. The images which are captured are later accessed for the purpose of searching, classification and retrieval operation. Hence these images must be labelled with appropriate words, phrases or keywords so that the requisite operation can be performed efficiently. Automatic Image Tagging is such a technique which associates an appropriate keyword from a given set of words or phrases based on the relevance to the content of the image. This selection of the appropriate keyword can be performed by Text Mining which is concerned with the extraction of appropriate information from a given text. The main objective of this paper is to depict how Text Mining technique can be implemented in the process of Automatic Image Tagging. In order to annotate an image, techniques like Content Based Image Retrieval cane can be used, which emphasises on the content of the image to annotate an image. However due to several constraints of the above mentioned technique, Automatic Image Tagging technique is used which chooses a tag from a given set of tags to annotate an image. The selection of the appropriate tag can be implemented using the Classification logic of the Text Mining Algorithm that assigns the given set of keywords or tags to some predefined classes. In this way the most relevant tags can be selected assigned to the given image.