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In order to exploit the massive image information and to handle overload, techniques for analysing image content to facilitate indexing and retrieval of images have emerged. In this paper, a semantic image content analysis framework based on Fuzzy Petri Net is presented. Knowledge scheme is used to define more general and complex semantic concepts and their relations in the context of the examined outdoor domain. A formal description of hierarchical and spatial relationships among concepts from the outdoor image domain is described. The automatic image annotation procedure based on fuzzy recognition algorithm, that maps high-level semantics to image, is presented.