Cooperative Visualization Framework Based on Video Streaming and Real-Time Vectorial Information

The essential purpose of this paper is to describe a framework, in a simple and complete way, which enables the concurrent visualization of au-dio/video streaming combined with its corresponding synchronous cooperative vectorial information. The architecture presented uses Java JMF API, which offers a simple, robust, extendable, multi-platform solution. It also requires no direct maintenance as regards the incorporation of future video cameras and codecs that come out on the market. Instead of the typical separate presentation of videoconferencing and its corresponding preset additional information, we offer the possibility of combining the video image with real-time vectorial information. All the combined bitmap and vectorial information is shared and can be interactively modified by the clients which are using the cooperative visualization framework. The current prototype RTCIM (Real Time Cooperative Information Manager) offers a complete API to implement cooperative applications based on multiple audio/video sessions.