… Our aim in the Large Scale Video Analytics (LSVA) project is to address obstacles in both
image-retrieval and research that uses extreme-scale archives of video data that employs a …

… , it is possible to connect our video analytics services with other popular cloud platforms like
… fully utilize our video analytics system. They can also access our video surveillance services …

… In Section III, we discuss the system architecture and the specifications of video analytics
pipeline. In Section IV, we report our works and observations on the profiling of Faster R-CNN + …

… Video Analytics based on edge computing is the only feasible approach to cater low latency
requirement for large-scale video streams [4]… Video analytics is described as an autonomous …

… , a video analytics system that processes thousands of video analytics queries on live
video streams over large … We consider two key characteristics of video analytics: resource-quality …

… Therefore, an edge-enabled operation and maintenance system is promising to deal with
such problems for a largescale video surveillance system. The key technologies are twofold. …

… feasibility of video analytics at scale. We further describe the challenges that arise from
large-scale video, progress we have made in automating and optimizing video analytics pipelines…

… On the other hand, offline video analytics processes images captured … video analytics are
two categories with very distinct requirements. In this paper, we focus on online video analytics …

… The Big Data Curation Layer (BDCL) is the base layer and is responsible for the large scale
video stream, batch video, user profiles and other SIAT’s metadata and verity management. …

… Video Analysis: Video analytics software makes surveillance systems more efficient, by
reducing the workload on security and management authorities. Computer vision problems such …