Improving Awareness with Remote Control Point Movement Prediction in Real-Time Collaborative Graphics Editing Systems

摘要

Predicting real-time movement trace of remote objects or the control points of objects when delay-jitter occurs is a critical and challenging issue in most Internet-based collaborative graphics editing systems. This paper presents two novel algorithms: Machine Learning algorithm and Changeable Scale algorithm. Related experiments were carried out to test the effectiveness of the algorithms. Results show that the algorithms can improve the accuracy to restore the remote motion smoothly and the usability of the system can be greatly enhanced.