Many video surveillance systems (VSS) have been already developed for various
application domains. Such systems are based on well-elaborated recognition algorithms of …

Machine learning has demonstrated tremendous potential in solving real-world problems.
However, with the exponential growth of data amount and the increase of model complexity …

Next generation applications such as augmented/vir-tual reality, autonomous driving, and
Industry 4.0, have tight latency constraints and produce large amounts of data. To address …

In this paper, the Internet of Things (IoT) with intelligent face perception and processing
function is used to supervise online English teaching. In the intelligent learning environment …

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

As the rapid growth of connected and autonomous vehicles (CAVs) and 5G intensifies, more
third-party applications are increasingly being deployed on CAVs. They not only improve …

Our approach to action recognition is grounded in the intrinsic coexistence of and
complementary relationship between audio and visual information in videos. Going beyond …

Accurately measuring and understanding affective loads, such as cognitive and emotional
loads, is crucial in the field of human–robot interaction (HRI) research. Although established …

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 …

Real-time video analytics services aim to provide users with accurate recognition results
timely. However, existing studies usually fall into the dilemma between reducing delay and …