Title :
A Hybrid Model for Image Databases
Author :
Bulysheva, Larisa ; Jones, John
Author_Institution :
Inf. Technol. & Decision Sci., Old Dominion Univ., Norfolk, VA, USA
Abstract :
This paper discusses an approach to organizing and structuring databases that are rich in visual data. Such databases are in sharp contrast to those that contain significant quantities of textual and numeric data. Traditional relational database technology handles textual and numeric data very well, but is not designed to incorporate non-textual, nonnumeric data. There have been some recent approaches to addressing this problem of incorporating visual data. However, these approaches are inadequate and labor-intensive. The present proposal sets forth an automatic way of providing useful structure to databases which contain significant quantities of visual data. This proposal incorporates existing technology, that as of yet, has not been applied to the present problem. This proposal also sets forth a new approach to database management in the context of visual data.
Keywords :
image retrieval; information storage; visual databases; database management; database organization approach; database structuring approach; hybrid model; image databases; information retrieval; information storage; Image classification; Image retrieval; Image segmentation; Proposals; Visual databases; Visualization; a hybrid model; content based image retrieval method; correlation analysis; image daabases; visual data;
Conference_Titel :
Enterprise Systems Conference (ES), 2014
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-5553-4