… We apply the intelligent algorithm RAMME for joint latency- and accuracy-aware live video
analytic services with multiple applications in our actual testbed. Referring to the previous …

… This paper presented a novel infrastructure for distributed real-time Artificial Intelligence (AI)/Deep
Learning (DL) video analytics. The infrastructure consists of a cloud, edge servers, …

… video analytics system, there are multiple analytics applications that are simultaneously
analyzing a video … example for a basic unit that any video analytics application might have. …

… Intelligent Video Systems and Video Analytics is managed by a wide collection in transportation,
security, health care and customer analytics. A Deep-Learning- based approach helps …

Automated Vehicle detection and classification is an important component of intelligent
transport system. Due to significant importance in various fields such as traffic accidents …

… not provide a cross-VMS API for integrating video analytics. In most domains (especially
scientific, law enforcement and intelligence communities), investigators collaboratively work on …

… Yong, “Intelligent security video surveillance system based … Khatri, “Intelligent video
surveillance using soft biometrics,” … Wang, “Special issue on intelligent video surveillance for …

… This paper proposes CEVAS, a cloud-edge collaborative video analytics system, which …
of the video streams. In the system, the optimal partition points of video analytics pipelines are …

… Park, “Blockchain based privacy preserving multimedia intelligent video surveillance
using secure merkle tree,” Multimedia Tools and Applications, pp. 1–18, 2020. [9] A. …

… in a captured scene, by artificial intelligence. It is a … of a video analytics software architecture,
interoperating with a city surveillance camera network, and providing two video analytics …