An Analytical Study on Image Databases

Complex information data types such as images are becoming more and more significant in digital communication as modern technology continues to evolve. Because of the increased significance of complex image data types, conventional databases which dealt only with textual and numerical information are no longer adequate. With the help of recent advent of more powerful computers and faster networking capabilities, significant amount of work has began in both the academia and commercial world in searching for better techniques to store and retrieve images in large collections. The goal of this thesis is to understand the current status of these research efforts and learn the technologies in the area of image recognition. Furthermore, it also provides a step-by-step guide for designing image databases and presents a case study on an existing commercial image database. The thesis is intended to serve as an informational resource for researchers and professionals that are interested in this growing field. Thesis Supervisor: Nishikant Sonwalkar Title: Director, Hypermedia Teaching Facility