The query by image content (QBIC) system
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
A Visual Information Management System for the Interactive Retrieval of Faces
IEEE Transactions on Knowledge and Data Engineering
A Small Set of Formal Topological Relationships Suitable for End-User Interaction
SSD '93 Proceedings of the Third International Symposium on Advances in Spatial Databases
EMIR2: An Extended Model for Image Representation and Retrieval
DEXA '95 Proceedings of the 6th International Conference on Database and Expert Systems Applications
Finding related functional neuroimaging volumes
Artificial Intelligence in Medicine
| Hi-index | 0.00 |
The multifaceted description of image data presents a couple of problems for traditional information systems designed for textual data. Image databases require efficient and direct spatial search based on image objects and their relationships instead ofsom e cumbersome alphanumeric encodings oft he images. Current systems generally approach the problem from different views. Thus, they describe one image facet dependently on application domain. This paper presents a model for Medical Image Management System (MIMS) that allows physicians to retrieve images and required information by combining the strengths ofsev eral approaches. Via a convivial iconic interface, our system assign to each image object a graphical representation to describe image objects and their attributes. It allows also to automatically calculate their interrelations.