Abstract
Image data is a very commonly used multimedia data type and usually have visual characteristics that have imprecise descriptions. Fuzzy retrieval of images that are stored in an image database is a natural and effective way to access image data. Recently, some work has been done on fuzzy content-based retrieval systems but to the authors knowledge none of them rely on a defined model for fuzzy query processing part. In this paper, an approach for fuzzy content-based retrieval using the Fuzzy Object-Oriented Data (FOOD) model will be described. A novel way of determining the fuzzy values from extracted color features will also be presented.
This work was supported in part by a grant from NASA/Goddard Space Flight Center. #NAG5-8570 and in part by DoD EPSCoR and the State of Louisiana under grant F49620-98-1 -0351.
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Gokcen, I., Yazici, A., Buckles, B.P. (2000). Fuzzy Content-Based Retrieval in Image Databases. In: Yakhno, T. (eds) Advances in Information Systems. ADVIS 2000. Lecture Notes in Computer Science, vol 1909. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40888-6_21
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DOI: https://doi.org/10.1007/3-540-40888-6_21
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