A Design Time Estimation Methodology for Spatial Databases

We propose a design time methodology for estimating performances of spatial databases, which includes methods for estimating disk occupancy and performances of manipulation operations on alphanumeric, vector, and raster data

Virtual Images for Similarity Retrieval in Image Database

We introduce the virtual image, an iconic index suited for pictorial information access in a pictorial database, and a similarity retrieval approach based on virtual images to perform content-based retrieval. A virtual image represents the spatial information contained in a real image in explicit form by means of a set of spatial relations. This is useful to efficiently compute the similarity between a query and an image in the database. We also show that virtual images support real-world applications that require translation, reflection, and/or rotation invariance of image representation