… hierarchical architecture consisting of end cameras, edge platform, and cloud server is the
only feasible solution to large-scale video analytics [19]. Based on a combination of private …

… scalability go beyond video analytics, and … videobased surveillance that spans thousands
of cameras and other sensors? How can we design a scalable infrastructure that spans a huge …

… the surveillance video data. We use the Cisco VNI [14] prediction for Internet video surveillance
… to reduce bandwidth and storage requirements in the case of large scale video analysis. …

… Using and managing a large-scale video surveillance systems are the most challenging
aspects of the security systems. Especially when a failure in one of the components of the …

… Gonzalez, “Spatula: Efficient cross-camera video analytics on large camera networks,” in
2020 IEEE/ACM Symposium on Edge Computing (SEC). IEEE, 2020, pp. 110–124. …

… , we infer that it is computationally expensive since it involves a large search operation with
time complexity O(n). Since the time complexity of the exhaustive search algorithm is O(n), it …

… in large-scale camera networks, recent efforts have been on … all the video analytics are
performed on the smart cameras, … the collaborative video analytics among the cameras without …

… Traditional cloud-based video analytics relies on large … We aim to find the most suitable video
analytics offloading … a multi-user edge-assisted video analytics system. Since the Lyapunov …

… deploying a pilot video analytics system in collaboration with … cross-camera video analytics
on large camera networks. In … Analysis of large-scale multi-tenant GPU clusters for DNN …

… Due to the resource-intensive nature of video analytics pipelines, 𝑛 will not be too large
for a resource-constrained edge server in practice. If we extend the Controller of CEVAS to …