With an aim to high-level understanding of the mathematical contents in a document image the requirement of math-zone extraction and recognition technique is obvious. In this pape...
S. P. Chowdhury, S. Mandal, Amit Kumar Das, Bhabat...
The originality of this work leads in tackling text compression using an unsupervised method, based on a deep linguistic analysis, and without resorting on a learning corpus. This...
In this paper we present an integrated approach for semantic structure extraction in document images. Document images are initially processed to extract both their layout and logic...
We propose an e-learning scenario where eye tracking is exploited to get valuable data about user behavior. What we look at -- as well as how we do that -- can in fact be used to ...
We present two projects that facilitate collective music creativity over networks. One system is a participative social music system on mobile devices. The other is a collaborativ...