Traffic surveillance cameras are the eyes of the Intelligent Transportation Systems (ITS).
However, they are currently isolated and can only extract information from each of their fixed …

The rapid evolution of multimedia and computer vision technologies requires adaptive visual
model deployment strategies to effectively handle diverse tasks and varying environments …

While large deep neural networks excel at general video analytics tasks, the significant
demand on computing capacity makes them infeasible for real-time inference on resource …

The proliferation of edge devices has pushed computing from the cloud to the data sources,
and video analytics is among the most promising applications of edge computing. Running …

Video camera plays a growing important role in advancing industrial control towards a
higher level of automation. Thus, video analytics become highly demanded, especially for …

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 …

Object detection is a pivotal research domain within computer vision, with applications
spanning from autonomous vehicles to medical diagnostics. This comprehensive survey …

Driven by plummeting camera prices and advances of video inference algorithms, video
cameras are deployed ubiquitously and organizations usually rely on live video analytics to …

With the rapid development of intelligent transportation system applications, a tremendous
amount of multi-view video data has emerged to enhance vehicle perception. However …

Cloud computing and edge computing models are popularly applied in emerging
applications, such as smart homes, smart parks, and connected autonomous vehicles for …