Smart cities are being developed worldwide with the use of technology to improve the
quality of life of citizens and enhance their safety. Video surveillance is a key component of …

Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …

Offloading computationally heavy tasks from an unmanned aerial vehicle (UAV) to a remote
server helps improve battery life and can help reduce resource requirements. Deep learning …

Drone fleets with onboard cameras coupled with DNN inferencing models can support
diverse applications, from infrastructure monitoring to package deliveries. Here, we propose …

Edge inference has become more widespread, as its diverse applications range from retail
to wearable technology. Clusters of networked resource-constrained edge devices are …

Motivation and objective: Emergency medicine is becoming a popular application area for
artificial intelligence methods but remains less investigated than other healthcare branches …

Recently, there has been a burgeoning popularity in the deployment of deep learning vision
applications upon terminal devices. However, as the number of layers in deep neural …

Mobile Augmented Reality (AR) is gaining traction as a compelling application due to recent
advancements in hardware and software. Previous studies have suggested that distributing …

Video, as a key driver in the global explosion of digital information, can create tremendous
benefits for human society. Governments and enterprises are deploying innumerable …

The falling cost of IoT cameras, the advancement of AI-based computer vision algorithms,
and powerful hardware accelerators for deep learning have enabled the widespread …