… traffic cameras, which can generate vast impact in ITS and smart city. We focus the survey in
video analytic … target speed, it is not always accurate and cannot handle large traffic volume. …

… of large-scale live video analytics [3]. Zhang et al. introduce VideoStorm, … video analytics
system that processes thousands of video analytics queries on live video streams over large …

… , surveillance cameras, infrastructures and buildings enhanced with the Internet of Things
(IoT) technologies has led to a huge explosion of contents, especially in the video domain, …

… [6] because messy information and events incurred by the large scale of the system have to
be … visualization mechanism for a large-scale intelligent video surveillance system of 3GSSs. …

With more videos being recorded by edge sensors (cameras) and analyzed by computer-vision
deep neural nets (DNNs), a new breed of video streaming systems has emerged, with …

… In traditional IoT video analytics applications, big data analytics algorithms and deep
learning models are often required for object detection, identification, and tracking [4]. These …

… video analytics systems have been developed in recent years, few have paid attention to the
network … resources management for large-scale streaming analytics in a single data center …

… proposes a scalable distributed video analytics framework that can process thousands of
video streams from sources such as CCTV cameras using semantic scene analysis. The main …

… We adopt the novel deep neural network to take video analytic. … background of video
analytics system and summary the challenges to design the efficient video analytics system in …

… VideoStorm [17] proposes a real-time video stream analytics system over large clusters. In
one phase, their offline profiler creates a query-resource quality profile which consists of the …