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A content-based image retrieval system (CBIR) is required to effectively utilize information from image databases. Content-based retrieval is characterized by the ability of the system to retrieve relevant images based on their visual and semantic contents rather than by using atomic attributes or keywords assigned to them. In this paper, we provide a taxonomy for approaches to image retrieval and describe their characteristics and limitations. We examined a number of image database applications to discover their retrieval requirements and to structure the requirements from a domain-independent perspective. This study enabled us to provide a taxonomy for image attributes and to propose a number of generic query operators. These operators are adequate to realize CBIR in a number of diverse applications. We propose a novel system architecture for CBIR that supports the generic query operators. The …