R. Priyatharshini¹ Surendernath S.P² and S.Chitrakala², ¹Easwari Engineering College, India and ²Anna University, India

With advances in the computer technology and the World Wide Web there has been an explosion in the amount and complexity of multimedia data that are generated, stored, transmitted, analyzed, and accessed. In order to extract useful information from this huge amount of data, many content based image retrieval (CBIR) systems have been developed in the last decade. A typical CBIR system captures image features that represent image properties such as color, texture, or shape of objects in the query image and try to retrieve images from the database with similar features. Retrieval efficiency and accuracy are the important issues in designing Content Based Image Retrieval System. The Shape and Spatial features are quiet easy and simple to derive and effective. Researchers are moving towards finding spatial features and the scope of implementing these features in to the image retrieval framework for reducing the semantic gap. This Survey paper focuses on the detailed review of different methods and their evaluation techniques used in the recent works based on spatial features in CBIR systems. Finally, several recommendations for future research directions have been suggested based on the recent technologies.

Content Based Image Retrieval, Semantic Gap, Semantic Image Retrieval, Image Retrieval based on spatial features.