Presenting museum, library, and archive collections online has become a common practice in recent years. Among the data accessible via the Internet are visual resources such as paintings, drawings, engravings, and photographs, which constitute a rich and vital source of information. Image indexing is an extremely difficult task. The crucial question is: how to transform the visual code of an image into written code. This article presents standards of still images description, guidelines, and indexing tools, the advantages and disadvantages of their use, and their potential to provide authoritative and comprehensive access points to digitized resources and to support sophisticated search. In order to provide efficient access to the digitalized images presented at the National Digital Library Polona and to promote their re-use, we are looking for a model for applying subject indexing to images.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.