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 …

Edge-cloud collaborative video analytics is transforming the way data is being handled,
processed, and transmitted from the ever-growing number of surveillance cameras around …

The integration of the Internet of Things (IoT) and modern Artificial Intelligence (AI) has given
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …

Earth observation satellites, in low Earth orbits, are increasingly approaching near-
continuous imaging of the Earth. Today, these satellites capture an image of every part of …

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 …

Advances in ML have motivated the design of video analytics systems that allow for
structured queries over video datasets. However, existing systems limit query expressivity …

Modern retrospective analytics systems leverage cascade architecture to mitigate bottleneck
for computing deep neural networks (DNNs). However, the existing cascades suffer two …

Machine learning (ML) inference platforms are tasked with balancing two competing goals:
ensuring high throughput given many requests, and delivering low-latency responses to …

With faster wireless networks and server GPUs, offloading high-accuracy but compute-
intensive AR tasks implemented in Deep Neural Networks (DNNs) to edge servers offers a …

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 …