A multi-view e-learning system for remote education

Abstract

In this paper, a multi-view e-learning system for supporting remote education is introduced. Since video is the most natural way to perceive information and of interaction between people, it also has inherent capabilities when using in education environment. The system, we propose, should encourage students more use the opportunities offered by remote learning to foster their training on the university. To enable multi-view video (MVV) streaming a system with three cameras is used. A central server is used to capture the partial streams and it also serves as the control unit to manage the whole system. The student will have the choice to decide which particular part of the captured scene he/she wants to watch. Another option will be a guided stream, where the streams are switched automatically, based on the area where the presentation is currently focused. We believe that this model might contribute to the educational process.