Fuzzy Content-Based Retrieval in Image Databases

Authors:
Ibrahim Gokcen;Adnan Yazici;Bill P. Buckles
Affiliations:
-;-;-
Venue:
ADVIS '00 Proceedings of the First International Conference on Advances in Information Systems
Year:
2000

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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.