We introduce VOCALExplore, a system designed to support users in building domain-
specific models over video datasets. VOCALExplore supports interactive labeling sessions …

As one of the most challenging tasks in artificial intelligence, autonomous driving has
received 34 considerable attention. The conventional autonomous driving system adopts a …

Synthetic data is emerging as a substitute for authentic data to solve ethical and legal
challenges in handling authentic face data. The current models can create real-looking face …

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 …

Live ML analytics have gained increasing popularity with large-scale deployments due to
recent evolution of ML technologies. To serve live ML queries, experts nowadays still need …

Querying video data has become increasingly popular and useful. Video queries can be
complex, ranging from retrieval tasks (“find me the top videos that have...”), to analytics (“how …

Video analytics is widely used in contemporary systems and services. At the forefront of
video analytics are video queries that users develop to find objects of particular interest …

In recent years, deep learning models have revolutionized computer vision, enabling
diverse applications. However, these models are computationally expensive, and leveraging …

Social media, self-driving cars, and traffic cameras produce video streams at large scales
and cheap cost. However, storing and querying video at such scales is prohibitively …

We introduce VOCALExplore, a system designed to support users in building domain-
specific models over video datasets. VOCALExplore supports interactive labeling sessions …