Automatic Image Annotation and Retrieval: A Survey

1Research Scholar, Bharathiar University, Coimbatore 641 046, Tamil Nadu 2Department of MCA, BannariAmman Institute of Technology, Erode 638401, Tamil Nadu, India 3Department of IT, Bannariamman Institute of Technology, Erode 638401, Tamil Nadu, India ------------------------------------------------------------***-----------------------------------------------------------Abstract Image Annotation and Retrieval (IR) is one of the most exciting and fastest growing research areas in the field of multimedia technology. Manual image annotation is time-consuming, laborious and expensive. Automatic Image annotation and retrieval is a dominant research area in computer science. It is concerned with the storage of images and assigning meaningful keywords to it. There are several methods developed for efficient automatic image annotation which uses various optimization techniques. Image retrieval is a technique for searching images in large databases. It is the study concerned with the technique of searching and retrieving digital images from a collection of image databases. To perform image retrieval, user gives query as images, text as a keyword(s), and image links, then the system will retrieve images “similar” to the query. The comparison used for searching criteria could be meta tags, color spreading in images, region or shape attributes. In image search, searching of images is carried out based on combined metadata such as keywords and text that are annotated with each image. The purpose of this paper is to show the survey study done on the optimization techniques for Image annotation and retrieval .