Data preparation for semantic image interpretation

Even though a lot of effort has been put into researching image retrieval and interpretation, there is still no universally accepted approach to map low-level feature into high level image semantic interpretation. In this paper, a method for continuous low-level features vector quantization is presented so as to define appropriate values for descriptive variables. Also, an abstract image description vector suitable for image analysis is given. Furthermore, formal explicit description of concepts and their properties as well as hierarchical relationship among concepts in an outdoor image domain will be presented.