… used in Edge AI-assisted video analytics in smart cities. It examines the various artificial …
in edge video analytics. It identifies the various applications of video analytics in smart cities, …

… of interest in a live video feed using video analytics. The most important feature of the sensor
is that it follows the edge-computing paradigm, ie, the video analytics are run directly on the …

… In this context, we present a distributed system for video analytics designed to leverage edge
… all the requirements for building a robust video analytics platform in the smart city context. …

… edge servers for the data analytics of video streamed by IoT … video analytics applications is
to perform the video analytics … required for local video analytics in smart cities. Moreover, we …

… A number of platforms have been introduced for realtime video analytics. Yu [2] proposes a
framework integrating the complete chain of processing from the initial capture of video to the …

… video data. In this research, we will propose video analytic system to process video data for
smart city … methods are more important phases of video analytic system. We will propose the …

… This paper aims to find a proper methodology for evaluating job scheduling strategies for
a data-intensive application such as video analytics applications used for smart cities that …

… To better understand the video analytic effect on video, we take a typical video analytics
process with face recognition (shown in Fig. 2) as an example. Generally, as the …

… video contents to perform video analysis in the cloud is the limitation set by the bandwidth.
Sending big amounts of real-time video … a complete video analytic framework architecture, …

… video analytics is resource-intensive, eg computation and bandwidth. In this paper, we
improve resource efficiency for intelligent video analytics via … in many video analytics applications …