Access to large images in digital libraries is desirable from a preservation perspective and may even be a requirement in some domains, such as cartography. However, providing access to large images often poses a problem as a result of the size of the images as well as the limited screen real-estate for displaying the images. Even when these issues are addressed, there is a lack of evidence about how well large image related tasks can be performed in a digital library. In investigating this, a survey was conducted in order to identify well-performing large image support tools and the best of these tools was integrated into DSpace. A user study was conducted in order to evaluate how well large images could be supported in a digital library and it was found that users were able to successfully and easily perform tasks related to large images. © 2012 Springer-Verlag.
CITATION STYLE
Nel, M., Williams, K., & Suleman, H. (2012). Evaluating large image support for DSpace. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7634 LNCS, pp. 140–143). https://doi.org/10.1007/978-3-642-34752-8_18
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