Modeling data repository and formalizing content-based queries for image databases

Content-based image retrieval is one of the current active and promising research topics in image analysis and image management. The work of transferring the results of this research to support images in DBMS has also been initiated by many researchers and commercial systems. We first illustrate the importance of using content-based operations in combination with the traditional database operations. Then, we propose an image repository model that supports content-based operations on image databases. Furthermore, we introduce our novel similarity-based operators on image tables and investigate their properties. Finally, we investigate the use of the novel content-based operators in combination with the relational operators on image and relational tables.