… 1) We quantify the potential for harnessing spatio-temporal correlations in cross-camera
video analytics. 2) We build a cross-camera video analytics system that learns and applies …

… integrate on-camera filtering into video analytics pipelines in … ) and dynamic video content
that analytics pipelines are faced … is a large resource divide between state-of-the-art cameras …

… 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 …

… live video analytics system based on the smart camera-edge … throughput, and scalable live
video analytics. The key behind the … the envisioned large-scale live video analytics into reality. …

… Hence, a large number of recent works have studied the implications of video analysis and
… of edge-C3 for video analytics and real-time processing of uplink video data is missing from …

… If you’re looking for a comprehensive guide to understanding video surveillance and … of
Intelligent Network Video provided security professionals with fundaments of video surveillance. …

… Traditional cloud-based video analytics relies on large centralized clusters to ingest … to
the network edge in proximity to data sources. In addition, we allow performing video analytics …

… video sequences are captured from surveillance cameras and delivered to the remote cloud
for video analytics, which has very large … In addition, performing the DL model requires large …

… camera-enabled devices and large video repositories has led to a diverse set of video
analytics … We present Llama, a video analytics and processing framework that supports …

… drift, ie, the live video data diverges significantly from the … Cameras in streets and smart
cars encounter varying scenes … high accuracy when trained with large variations in the data. …