Huge amounts of unstructured data including image, video, audio, and text are ubiquitously
generated and shared, and it is a challenge to protect sensitive personal information in …

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

We introduce EQUI-VOCAL: a new system that automatically synthesizes queries over
videos from limited user interactions. The user only provides a handful of positive and …

Deep learning–based video analytics demands high network bandwidth to ferry the large
volume of data when deployed on the cloud. When incorporated at the edge side, only …

Recent advancements in artificial intelligence (AI) have seen the emergence of smart video
surveillance (SVS) in many practical applications, particularly for building safer and more …

The soaring number of personal mobile devices and public cameras poses a threat to
fundamental human rights and ethical principles. For example, the stolen of private …

Many private and public organizations deploy large numbers of cameras, which are used in
application services for public safety, healthcare, and traffic control. Recent advances in …

Commercial retrospective video analytics platforms have increasingly adopted general
interfaces to support the custom queries and convolutional neural networks (CNNs) that …

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 …

Camera orientations (ie, rotation and zoom) govern the content that a camera captures in a
given scene, which in turn heavily influences the accuracy of live video analytics pipelines …