… via a (public) network to the analytics platform. In video analytics, a single video camera can
produce about 25-30 frames/second. In HD and FHD cameras an 8-bit uncompressed RGB …

… -camera activity analysis and cooperative video surveillance both with active and static
cameras. … The topology of a large camera network could be complex and the fields of views of …

… Spatula: Efficient crosscamera video analytics on large camera networks. [53] JIANG, AH,
WONG, DL-K., CANEL, C., TANG, L., MISRA, I., KAMINSKY, M., KOZUCH, MA, PILLAI, P., …

… a dense, large-scale camera network to … hop network design for video analytics. We propose
Spider, a mmWave multi-hop relay network to support densely-deployed live video analytics …

… video big data analytics in the cloud. It also aims to bridge the gap among large-scale video
analytics challenges, big … the video analytics domain and the characteristics of video big data …

… The space of configurations for the video analytics system can be large, depending on the
complexity of the system. In FedVision, we have three configuration variables in the vector x to …

… of video streams. Therefore, in this paper, we propose a Fast Filtering System for Video
Analytics (FFS-VA), a pipelined multi-stage video analyzing system, to make video analytics …

… analysis of all the video data extracted from camera-networks. This approach not only deals
with one video-… The great concern of governments and large private organizations is to keep …

… Modern IP cameras come with a large number of camera parameters that directly affect the
… In this paper, we study video analytics applications that are based on surveillance cameras. …

… from the large-scale video analytics system is a hectic task. Substantial amounts of video data
pose a big challenge for video … to process and mine these video data. Moreover, due to the …