We present an interactive application for browsing severely damaged documents and other cultural artefacts. Such documents often contain strong geometric distortions such as wrinkling, buckling, and shrinking and cannot be flattened physically due to the high risk of causing further damage. Previous methods for virtual restoration involve globally flattening a 3D reconstruction of the document ...

Huge amounts of handwritten historical documents are being published by digital libraries world wide. However, for these raw digital images to be really useful, they need to be annotated with informative content. State-of-the-art Handwritten Text Recognition (HTR) approaches require an impressive training effort by expert paleographers. Our contribution is a scalable, end-to-end transcription w...

We investigate the problem of sentence-level supporting argument detection from relevant documents for user-specified claims. A dataset containing claims and associated citation articles is collected from online debate website idebate.org. We then manually label sentence-level supporting arguments from the documents along with their types as STUDY, FACTUAL, OPINION, or REASONING. We further cha...

This paper presents quite a different version of the origins of the Red Cross from that officially recognised. On the basis of historical documents and statements of authors who are critical and attentive to the detail of the circumstances and events which gave rise to the Red Cross, it is possible to discern a surprising historical truth.

The National Taiwan University Library has built a digital library of historical documents about Taiwan. The content is unique in that it covers about 80% of all primary Chinese historical materials about Taiwan before 1895, and that they are all available in searchable full text, in addition to metadata. To make these materials more accessible to the research community, we have developed, in a...

We present a segmentation-free method to retrieve keywords from degraded historical documents. The proposed method works directly on the gray scale representation and does not require any pre-processing to enhance document images. The document images are subdivided into overlapping patches of varying sizes, where each patch is described by the bag-of-visual-words descriptor. The obtained patch ...

Historical documents are a relevant part of cultural heritage. It is well-established that this domain is very complex: data are often heterogeneous, semantically rich, and highly interlinked. For this reason, searching and linking them with related contents represents a challenging task. The use of Semantic Web technologies can provide innovative methods for more effective search and retrieval...

Lists are often the most data-rich parts of a document collection, but are usually not set apart explicitly from the rest of the text, especially in a corpus of historical OCRed documents. There are many kinds of lists, differing from each other in both layout and content. Writing individualized code to process all possible types of lists is an expensive challenge. In the present research, we f...

The solution for a feature selection problem is presented in the field of document image processing. The choice of shape features for describing glyphs of historical documents is a non-trivial task since the variations of glyphs in different documents is innumerable. Hence, the manual selection of shape features would be a cumbersome task. To select a subset of features from a given set a genet...