Deep Learning for Automatic Basketball Video Production with Julian Quiroga - #389
Published:Jul 6, 2020 18:03
•1 min read
•Practical AI
Analysis
This article discusses Julian Quiroga's work on automatic basketball video production using deep learning. It highlights the use of Gaussian-based actionness and game state recognition. The focus is on camera setups, player and ball detection, and the application of deep learning in this process. The article also touches upon the potential for applying this technology to other sports and future improvements. The core of the discussion revolves around how AI can automate and enhance sports video production, making it more efficient and accessible.
Key Takeaways
- •Deep learning is used to automate basketball video production.
- •The system uses Gaussian-based actionness and game state recognition.
- •The technology can be applied to other sports and is subject to future improvements.
Reference
“The article doesn't contain a direct quote, but it discusses Quiroga's paper.”