Networked virtual environments: design and implementation
Networked virtual environments: design and implementation
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
CAMP '00 Proceedings of the Fifth IEEE International Workshop on Computer Architectures for Machine Perception (CAMP'00)
A Distributed System for Real-Time Volume Reconstruction
CAMP '00 Proceedings of the Fifth IEEE International Workshop on Computer Architectures for Machine Perception (CAMP'00)
Real-Time Computer Vision on PC-Cluster and Its Application to Real-Time Motion Capture
CAMP '00 Proceedings of the Fifth IEEE International Workshop on Computer Architectures for Machine Perception (CAMP'00)
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In this paper we propose an efficient real-time communication mechanism for distributed vision processing. One of the biggest problems of distributed vision processing, as is the same as in other distributed systems, is how to reduce the overhead of communication among computation nodes. In vision processing, we have to deal with a lot of time varying variables, some of which are large in size, and, therefore, the efficiency of sending and receiving of those variables is essential. To solve the problem, we propose Accuracy-driven Memory architecture, whose key idea is based on imprecise computation model and predictive coding. Here, we will present the basic framework of Accuracy-driven Memory architecture and show its efficiency based on some simulation results.