This research concerns the exploitation of linguistic context in vision.
Linguistic context is qualitative in nature and is obtained dynamically.
We view this as a new paradigm which is a golden mean between data driven object detection and site-model based vision. Our solution not only proposes new techniques for using qualitative contextual information, but also efficiently exploits existing image interpretation technology. Such applications would currently be considered impractical due to limitations posed by the image interpretation component. Examples include the annotation of medical or satellite images.