Internet of Things (IoT) gateways integrate various sensors and compute initial decisions
before transmitting data to the cloud for further processing. As the functions they need to …

In the realm of Tiny AI, we introduce “You Only Look at Interested Cells”(YOLIC), an efficient
method for object localization and classification on edge devices. Through seamlessly …

With the rapid development of 5G and IoT technologies, industrial video surveillance
systems face increasingly significant challenges in processing large-scale data. Traditional …

Real-time object detection is an essential part of various Internet of Things (IoT) applications.
Unmanned aerial vehicles (UAVs) employ visual sensors to capture high-definition images …

Mobile-edge computing can help enable low-latency and accurate video analytics.
However, it is difficult to make efficient utilization of limited edge resources because of the …

Visual-based perception is the key module for autonomous driving. Among those visual
perception tasks, video object detection is a primary yet challenging one because of feature …

Neural-based super-resolution (SR) has achieved great success in enhancing image or
video quality, creating new opportunities for building bandwidth-efficient and high-accuracy …

Autonomous driving is no more a topic of science fiction. Advancement of autonomous
driving technologies are now reliable. Effectively harnessing the information is essential for …

Perfectly-secure cryptography is a branch of information-theoretic cryptography. A perfectly-
secure cryptosystem guarantees that the malicious third party cannot guess anything …

The complex and diverse server video data leads to the problem of effective retrieval of
these data. The current shot edge detection algorithm and key frame extraction algorithm in …