Recently, a flexible image database retrieval system where image keywords can be captured automatically is strongly required, to manage a practical number of image data successfully. But image recognition/understanding technology level is not generally inefficient enough to achieve this requirement.
In order to overcome this problem, we propose a new image database framework here. In the proposed system, image keywords are extracted in fully- automated fashion by the deviced image recognition system. Image keywords used here is a collection of recognized objects in the image, where recognition levels are allowed to be intermediate or imperfect. In other words, each of these keywords has a various abstract level; some are very high and satisfactory, but other are very low and unsatisfactory. We introduce the concept of “recognition thesaurus” for managing these various level keywords successfully. “Recognition thesaurus" inherits the topology of the image recognition system, and consists of the relations between the different level of keywords. When someone wishes to retrieve images, he addresses a conceptual request to the system. The system interprets the request and makes an expanded keywords, then the system seeks images which satisfy the “expanded” keywords by using “recognition thesaurus”. As an embodiment of this concept we implemented an image database with various types of sports scenes. Retrieval evaluations reveals the effectiveness of the proposed method.