An Approach for Image Organization and Retrieval in Realistic Image Da- tabases

Abstract One of the basic problems in the creating of the Realistic Image Databases (RIDB) structure is the efficient organization of the image retrieval. As a result of the analyses of the retrieval strategies we made, incl. GIS realistic images, we can make the conclusion that the solution of the problem for effective image retrieval is the approach for image sorting or indexing. Textand content-based indexing methods play different roles in representing image information. The systems for image organization and image retrieval use more and more information from the image visual content instead of being manually annotated by text-based keywords or other relatively simple characteristics from the image, especially from the realistic GIS coverages. The basic characteristics of the image visual content are colour, texture and shape features. The colour feature is probably the most visible visual feature for the most humans. In this work we propose a development of the usage of the colour as a image feature for an automatic indexing by image contents. The process of the indexing is based on the idea of the predominant colours in an image. This approach combines some advantages of the classical methods such as systematically classifications, the organization and retrieval methods in the relational database systems and the new approaches in the organisation and retrieval in image databases. Our approach combines the representation of the colour as the global image feature and the colour as the representation of the spatial information in the images. We propose an image retrieval system that provides users with content-based methods, which contain automatic indexing capability and easy-to-use visual query facilities, based on the artificial intelligence Image Manipulation Language. It is expected that users may use these proposed content-based facilities to perform specific retrieval tasks without the use of manual indexing and text-based methods