Weiyi Yang, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213 USA
Jiazhi Ou, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213 USA
Yong Rut, Microsoft Research, Microsoft Corporation, Redmond, WA 98052, USA
Jie Yang, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213 USA
While many systems are available for audio-visual people collaboration and data collaboration, systems for collaboration on physical objects are few. In this paper, we present WebDOVE, a system designed to address the needs of collaborative physical tasks. WebDOVE supports both live video streams and pen-based gesture recognition in multi-party bidirectional communication via inexpensive web cameras. WebDOVE allows distributed collaborators to draw over video streams to produce and interpret pointing and representational gestures as readily as they do in face-to-face settings. To accommodate potential diverse platform requirements from different participants, WebDOVE is designed to be a web-based platform-independent and browser-independent collaboration solution. We show via experiments that despite WebDOVE's platform independency, it requires moderate network bandwidth and CPU load, which make WebDOVE a practical solution for real-world applications.
Citation:
Weiyi Yang, Jiazhi Ou, Yong Rut, Jie Yang, "Webdove: a Web-Based Collaboration System for Physical Tasks," icme, pp.1137-1140, 2006 IEEE International Conference on Multimedia and Expo, 2006