A system for the visualization of large collections of images, facilitated by an automatically constructed visual thesaurus, is reported. A corpus-based method for extraction of terminology and ontology of a specialist domain, scene-of-crime, is outlined. The challenge when capturing information in a crime scene is how to later visualise the scene, when all exhibits have been removed or altered. Experiments on experts dealing with describing a visual domain (the crime scene) suggest that the inter-indexer variability is limited.