Visual query exploration process and generation of voluminous Image database for CBIR Systems

Content Based Image Retrieval is an approach for retrieving semantically-relevant images from an image database based on automatically-derived image features. Image retrieval is the process of browsing, searching and retrieving images from a large database of digital images. The collection of images in the web are growing larger and becoming more diverse. Retrieving images from such large collections and constructing an image database for CBIR systems are challenging problem. In this paper we have addressed a functional way to construct database for CBIR systems using multi-paradigm functional programming language. Schematic Representation of the database structure for the Content-Based Image Retrieval (CBIR) system can also be discussed. Visual exploration system enables users to search, browse and explore multimedia databases in an interactive and playful manner. We propose a query evaluation scheme to reduce the total number of similarity computations.