5 papers
Elixir: A system to enhance data quality for multiple analytics on a video stream
Sibendu Paul, Kunal Rao, Giuseppe Coviello +4
IoT sensors, especially video cameras, are ubiquitously deployed around the world to perform a variety of computer vision tasks in several verticals including retail, healthcare, s…
APT: Adaptive Perceptual quality based camera Tuning using reinforcement learning
Sibendu Paul, Kunal Rao, Giuseppe Coviello +4
Cameras are increasingly being deployed in cities, enterprises and roads world-wide to enable many applications in public safety, intelligent transportation, retail, healthcare and…
Why is the video analytics accuracy fluctuating, and what can we do about it?
Sibendu Paul, Kunal Rao, Giuseppe Coviello +4
It is a common practice to think of a video as a sequence of images (frames), and re-use deep neural network models that are trained only on images for similar analytics tasks on v…
AQuA: Analytical Quality Assessment for Optimizing Video Analytics Systems
Sibendu Paul, Utsav Drolia, Y. Charlie Hu +1
Millions of cameras at edge are being deployed to power a variety of different deep learning applications. However, the frames captured by these cameras are not always pristine - t…
Predictive Scheduling for Virtual Reality
I-Hong Hou, Narges Zarnaghi Naghsh, Sibendu Paul +2
A significant challenge for future virtual reality (VR) applications is to deliver high quality-of-experience, both in terms of video quality and responsiveness, over wireless netw…