A flexible multi-server platform for distributed video information processing
Yao Wang, Linmi Tao, Qiang Liu, Zhao, Yanjun, Xu, Guangyou · 2019
The complexity of recent computer vision system calls for an infrastructure of distributed processing. This paper presents a platform acting as a framework for video information processing applications to plug in and contribute to the "intelligence" of the system. The platform is composed by a set of servers which collaborate with each other to complete the tasks like video capture, transmission, buffering and synchronization. A user side lib is also provided for the simplicity of application-platform interface. We show the usefulness of the platform by a motion detect application in our On-The-Spot Archiving system. As the platform is flexible, its usage is not limited in one or two systems.