RISE: A Robust Image Search Engine

Image database indexing is used to improve the efficiency of image retrieval in response to a query expressed as an example image. The query image is processed to extract information that is matched against similar information from images stored in a database to retrieve a set of matched images. The matching process is achieved by a search engine. This paper advances robust image search engine (RISE). RISE is based on a technique that facilitates content similarity based retrieval of images using an index built on color components of selected blocks of images. It uses a measure of distance between the query and the images in the database. RISE builds on the JPEG indexing algorithm, extending it to formats other than JPEG and into color spaces, in addition to using a relational database. We have implemented RISE as a browser-based search engine, deployed as a Java servlet