Review on Image Annotation Techniques and its Applications

Abstract

Image annotation is a most useful technique for social media websites, most of the applications like Facebook, Instagram, Flicker uses automatic annotation technique. These applications allow a user to define free image tags, contributing significantly to the development of the retrieval and organization of web images. Searching image by tags is an important part of an image viewed by a user on social websites. There are many kinds of applications which use image annotation and one of them is Flicker. Flicker application allows user to annotate images with the set of descriptors such as tags, labels, keywords however in that application one of the drawback of duplication of the images with same tags, and which is not reliable for the diversity of Flicker application. The main challenge is to remove duplication of image in order to provide diversity of the images. One of the goal is to re-rank the images by their visual information, semantic information and social result for the particular image count. Typically, each user provides multiple images, so the task is to order the images by a ranking process. User who has a major contribution to the image which gives high rank on the basis of view count and the re-rank the image by user classified image set on the basis of feature extraction of that image by using Canny Edge Detection algorithm for the colour feature, texture feature and detection of edges of a particular image, which is useful for removing the duplication of images.