… video stream analytics approach to overcome these challenges, with a focus on distributing
the video … The proposed approach decomposes the stream processing pipeline into two …

… video analytics case, if there are 10 cameras with a frame rate of 25 per second, then each
network node should be able to process 250 stream… large-scale video stream analytics. Using …

… Because the overall bandwidth consumption is much smaller than video analytics, we modify
the bandwidth parameter: during t=200-380s, we limit the bandwidth to 750 Kbps; during t=…

… the analytics quality. In this paper, we propose Clownfish, a framework for efficient video stream
analytics that … correlation in video content, Clownfish sends only a subset of video frames …

… Traditional video analytics approaches are manual and time consuming. These are … We
present a cloud based video analytics framework for scalable and robust analysis of video …

… live video analytics, advocating for a concept known as live-video-analytics-asa-service [1…
The goal of our vision is to remove the complexity barrier for the adoption of video analytics in …

… systems aim to optimize live video analytics from a variety of … , a distributed live video analytics
system based on the smart … -throughput, and scalable live video analytics. The key behind …

… -time video stream analytics service. A topic consists of partitions and is used to ensure height
throughput and allow multiple consumers to read the mini batch of video stream data from …

… This paper aims to use it to accelerate video analytics and data visualization applications so
that insight can be obtained as soon as the data arrives. Experiments were conducted with a …

… need for a custom video streaming protocol that streams videos from cameras to cloud …
-based video analytics. In the past decade, numerous efforts have optimized video streaming …