… We use a tiny and a big CNN model for object recognition on the camera-side and server-…
highaccuracy model on the camera for video analytics. The compression technique has been …

… of cameras is followed by the surge in the amount of video data. … for video analytics [4]. It
is of great significance to develop enhanced solutions for large-scale real-time video analytics …

… We demonstrate Vaas, a video analytics system for large… different workflows for solving a
video analytics task. Users express … change events in dashboard camera video could be solved …

… video analysis techniques such as motion detection, object tracking, object classification on
a low-bandwidth network… enables organizations to use computers and big data technologies …

… the latest crowd video analysis technology from the current video surveillance system. The
latest … This study also pushes us to critically evaluate the crowd on a huge scale since the Hajj …

… This work focuses on deep learning video analytics for co-located cameras. These systems
stream live video feeds to … Videos have a large portion of spatial redundancy. Since we target …

… Meeting such requirements goes beyond video analytics and … application on a large-scale
camera network a daunting task for … domain experts to develop largescale situation awareness …

… reactively with only a small fraction of the cameras being monitored at any given time. There
… has become known popularly as “video analytics”. The large size of CCTV systems and the …

… accuracy, video quality, battery constraints, network data usage, and network conditions to
… to understand the tradeoffs between video quality, network conditions, battery consumption, …

… The video analysis market is rapidly growing and is estimated to be worth more than $1.2 …
[14], and surveillance [28] may use the large volumes of visual data. The network cameras …