An Interactive Image Database System

The most important features of the developed image database system include compressed domain indexing, searching by using scalable features, and progressive image transmission. User interaction is involved at both the search re nement stage and display of the query results. The indexing and searching algorithms are tightly coupled with the underlying image compression algorithm by means the images are stored in the database. By this scheme, both the complexity and the storage requirements of the database management system are substantially reduced. In this research, we utilize our previously developed very high performance wavelet image coding algorithm termed signi cancelinked connected component analysis, which not only renders very high compression performance when compared to other top ranked wavelet image coding algorithms and the JPEG standard, but also naturally supports scalable features and progressive transmission. Computer experiments demonstrate the e ectiveness of the proposed system.