Abstract:
Audiovisual streaming has been extensively used in synchronous virtual
classroom applications. Until recently, content-based processing has rarely
being used in real-time streaming. We present in this paper, an intelligent
system that uses state-of-art video processing and computer vision
technologies that can automatically respond to various video events defined
by a set of pre-programmed rules. This intelligent system performs object
acquisition, automatic video editing and student multimedia presentation
synchronization which can leverage both the capabilities and efficiencies in
multimedia streaming for a real-time synchronous virtual classroom. We
present detailed discussions of the four major advantages of the system,
namely, inexpensive hardware, automation, versatilities and environment
adaptabilities as well as natural teaching flow. We describe the system in
detail, illustrating the main cutting edge video processing algorithms being
incorporated as well as our own research findings in an effort to enhance the
performance over the existing algorithms used in virtual classrooms. We also
show the implementation of the current prototype system as well as explore its
potential in future E-learning applications.
