Affiliation:
1. Zhejiang Changzheng Vocational and Technical College
2. Henan University
3. Zhejiang University
Abstract
Here to introduce a parallel processing video splicing system with multi-processor. The main processor gets the encoded video data from video source and outputs the video data to the coprocessors simultaneously after decoding the data. Those coprocessors capture the video data needed for splicing and display it on the objective monitor. Owing to this method, the sophisticated time synchronization algorithm is no longer needed. The proposed approach also lowers the system resources consuming, and promotes the accuracy of the video synchronization from multiple coprocessors.
Publisher
Trans Tech Publications, Ltd.
Reference9 articles.
1. Kai Li, Han Chen, Yuqun Chen, Douglas W. Clark, Perry Cook, Stefanos Damianakis, Georg Essl, Adam Finkelstein, Thomas Funkhouser, Allison Klein, Zhiyan Liu(2000).
2. Pair, J, Jensen, C, Flores, J, Wilson, J, Hodges, L, Gotz, D. (2000).
3. Rötzer, I. (2001). Synthetic worlds within six walls. Fraunhofer Magazine. 2. 2-8.
4. G. Humphreys, M. Eldridge, I. Buck, G. Stoll, M. Everett, and P. Hanrahan (2002). WireGL: A Scalable Graphics System for Clusters. Computer Graphics, ACM SIGGRAPH2001. 129-140.
5. G. Humphreys, M. Houston, R. Ng, R. Frank, S. Ahern, P. D. Kirchner, and J. T. Klosowski (2002). Chromium: A stream processing framework for interactive rendering on clusters. In Proceedings of SIGGRAPH 2002. 129–140.