Using browsing to improve content-based image retrieval
Jesse Sheng Jin, Ruth Kurniawati, Guangyou Xu, Xuesheng Bai · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998
Many content-based methods have been proposed to retrieve images from multimedia databases. Current index structures, such as R*-tree, SS-tree and SS+-tree, have a large overlapping area among their nodes, especially at the high level of the indexing tree. The overlapping area causes the search engine to compare a large number of nodes and hence, it is very inefficient to retrieve at very high levels of the index tree. We present a scheme to combine browsing with retrieval in searching for images. The browser uses the content-based index structure of image databases. It provides users with a visual tool to narrow the search quickly to a small region and to avoid a large number of comparisons. Combined with retrieval, it produces a very efficient content-based retrieval method.