This paper describes a project in which an analysis was undertaken of user queries addressed to seven libraries which manage archives of widely varying still and moving image material. The sampling procedure is described, in which queries obtained from each library were broadly categorised by image content, identification and accessibility. Attention is focused on the image content requests, for which a categorisation based on facet analysis is developed. The analytical tool which is used for this purpose is based on a schema already well established for the analysis of levels of meaning in images. The project demonstrates the possibility of formulating a general categorisation of requests which seek widely different still and moving image material. The paper concludes with observations on the potential value of embedding such a schema within the user interface of unmediated-query visual information retrieval systems.