Text labels in maps provide valuable geographic information by associating place names with locations. This information from historical maps is especially important since historical maps are very often the only source of past information about the earth. Recognizing the text labels is challenging because heterogeneous raster maps have varying image quality and complex map contents. In addition,...

Optical music recognition (OMR) enables librarians to digitise early music sources on a large scale. The cost of expert human labour to correct automatic recognition errors dominates the cost of such projects. To reduce the number of recognition errors in the OMR process, we present an innovative approach to adapt the system dynamically, taking advantage of the human editing work that is part o...

This paper concerns the problem of scene recognition in an image possibly containing a single or multiple scenes. The first half of the paper will concentrate on a newly built model, called scene template, and come up with a set of well developed methodologies to learn the model. The second half of the paper will introduce the technique used to recognize scenes, assuming an ideal model is given...