Today we return to our coverage of the 2020 CVPR conference with a conversation with Julian Quiroga, a Computer Vision Team Lead at Genius Sports.
Subscribe: iTunes / Google Play / Spotify / RSS
Julian presented his recent paper “As Seen on TV: Automatic Basketball Video Production using Gaussian-based Actionness and Game States Recognition” at the CVSports workshop. We jump right into the paper, discussing details like camera setups and angles, detection and localization of the figures on the court (players, refs, and of course, the ball), and the role that deep learning plays in the process. We also break down how this work applies to different sports, and the ways that Julian is looking to improve on this work for better accuracy.
Thanks to our sponsor
I’d like to send a huge thank you to our friends at Qualcomm for their support of the podcast, and their sponsorship of this series! Qualcomm AI Research is dedicated to advancing AI to make its core capabilities — perception, reasoning, and action — ubiquitous across devices. Their work makes it possible for billions of users around the world to have AI-enhanced experiences on Qualcomm Technologies-powered devices. To learn more about what Qualcomm is up to on the research front, visit here.
Connect with Julian!
- Genius Sports
- Paper: As Seen on TV: Automatic Basketball Video Production using Gaussian-based Actionness and Game States Recognition
- Video: Automatic Basketball Video Production Demo
- Paper: YOLOv3: An Incremental Improvement
- Join the TWIML Community!
- Check out our TWIML Presents: series page!
- Register for the TWIML Newsletter
- Check out the official TWIMLcon:AI Platform video packages here!
- Download our latest eBook, The Definitive Guide to AI Platforms!
“More On That Later” by Lee Rosevere licensed under CC By 4.0