Caelli, T. and Bischof, W. F. (1997). An overview and perspective of image interpretation. In Caelli, T. and Bischof, W. F. (Eds.) Machine Learning and Image Interpretation (pp. 1-16). New York: Plenum Press.

One ultimate aim of computer vision is to develop systems which can interpret image information in ways which are consistent with how humans bind domain knowledge with what is sensed or visualised. To attain this goal, computer systems need to encode images, extract features and associate their attributes with specific types of knowledge. This chapter sets the stage for this book which describes the results of our efforts to develop technologies which we see as necessary for the building of image interpretation systems which are adaptive and are capable of learning how to attain these goals.

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