Camera deployments are ubiquitous, but existing methods to analyze video feeds do not
scale and are error-prone. We describe Optasia, a dataflow system that employs relational …

… for large-scale video streams directly, due to their unacceptably high hardware cost. Fortunately,
in large-scale video analytics, … to achieve largescale high-resolution video analytics, we …

… , a video analytics system for largescale datasets. Vaas provides an interactive interface
to rapidly develop and experiment with different workflows for solving a video analytics task. …

We describe VisFlow, a system that efficiently analyzes the feeds from many cameras.
Ubiquitous camera deployments are widely used for security, traffic monitoring, and customer …

… for scaling video analytics to large camera networks, … video analytics, we believe the
important next step for the community is designing a software stack for collective camera analytics. …

… With the increasing presence of networked cameras, the volume of video … of video analytics
systems. Deep learning-based video analytics demands high network bandwidth if the large …

… of video analytics before delving into the key challenges introduced by a large-scale …
Running video analytics by streaming all video to the cloud conflicts with the bandwidth constraints …

… of video streams. Therefore, in this paper, we propose a Fast Filtering System for Video
Analytics (FFS-VA), a pipelined multi-stage video analyzing system, to make video analytics …

… Finally, we refactor existing large-scale video analytics pipelines to separate out frame
content analysis as an independent module, providing a per-camera video ingestion interface to …

… Our aim in the Large Scale Video Analytics (LSVA) project is to address obstacles in both
image-retrieval and research that uses extreme-scale archives of video data that employs a …