Retrieval by content in symbolic-image databases

Aya Soffer, Hanan Samet, Ishwar K. Sethi, Ramesh C. Jain
1996 Storage and Retrieval for Still Image and Video Databases IV  
Two approaches for integrating images into the framework of a database management system are presented. The classi cation approach preprocesses all images and attaches a semantic classi cation and an associated certainty factor to each object found in the image. The abstraction approach describes each object in the image by using a vector consisting of the values of some of its features e.g., shape, genus, etc.. The approaches di er in the way in which responses to queries that are based on
more » ... e content are computed. In the classi cation approach, images are retrieved on the basis of whether or not they contain objects that have the same classi cation as query objects. In the abstraction approach, retrieval is on the basis of similarity of feature vector values of these objects. Both the pattern recognition and indexing aspects of the method are addressed for each approach. The emphasis is on extracting both contextual and spatial information from the raw images. Methods for storing and indexing symbolic images as tuples in a relation are presented for each approach. Indices are constructed for both the contextual and the spatial data. The user interface for a pictorial information system based on these two approaches is also presented.
doi:10.1117/12.234791 dblp:conf/spieSR/SofferS96 fatcat:la3sopqj3jc6tgaspkaqo2omia