Knowledge workers often undertake tasks that involve a variety of information artifacts, including both paper and digital documents. In this paper, we first summarize findings fro...
Katherine Everitt, Meredith Ringel Morris, A. J. B...
The categorization of documents is traditionally topic-based. This paper presents a complementary analysis of research and experiments on genre to show that encouraging results ca...
Document image segmentation algorithms primarily aim at separating text and graphics in presence of complex layouts. However, for many non-Latin scripts, segmentation becomes a ch...
We address document image classification by visual appearance. An image is represented by a variable-length list of visually salient features. A hierarchical Bayesian network is ...
Abstract. Large document collections, such as those delivered by Internet search engines, are difficult and time-consuming for users to read and analyse. The detection of common an...