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In this paper, we describe our research in content based image retrieval systems, based on color features. The growing size of the database will result in long search time which may be unacceptable in many practical situations. We describe our approach to solving this problem and to improve the performance of the image database management system, based on(More)
The goals of the modern Computer-assisted Instruction systems are ultimately achievable only through the application of artificial intelligence techniques to the implementation of teaching strategies. The author of the traditional Computer-assisted Instruction course must explicitly predict and program all possible paths through the lessons, including(More)
In this paper, we describe our research in content based image retrieval systems, based on color features. We describe our experiments, based on global and local color properties of an image and examine the effect of the degree of image quantization on similarity. We drew the following conclusions from the analysis of the results of our experiments: 12X12(More)
AbstrAct Image Databases (IDBs) are a kind of Spatial Databases where a large number of images are stored and queried. In this chapter, techniques for indexing an IDB for efficiently processing several kinds of queries, like retrieval based on features, content, structure, processing of joins, and queries by example are reviewed. The main indexing(More)
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(More)
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