Yi Tao and W.I. Grosky,
Object-Based Image Retrieval Using Point Feature Maps,
In Proceedings of the International Conference on Database
Semantics (DS-8),
Rotorua, New Zealand, pp. 59-73, January 1999.
Yi Tao and W.I. Grosky,
Object-Based Image Retrieval Using Point Feature Maps,
In Proceedings of the International Conference on Database
Semantics (DS-8),
Rotorua, New Zealand, pp. 59-73, January 1999.In this paper, we address the image query interface of the OBIR (Object-Based Image Retrieval) system. An important contribution of this work is its ability to allow a user to easily incorporate both low-level and high-level semantics into an image query. This is accomplished through the inclusion of the spatial distribution of image object features, the spatial distribution of the image objects themselves, and image object class identifiers. We introduce a generic image model, give our ideas on how to represent the low-level and high-level semantics of an image object, discuss our notion of image object similarity, and define four types of image queries supported by the OBIR system. The detailed architecture of the OBIR query interface, a test database, and some sample image queries are also presented.