Deep Learning for Automatic Basketball Video Production with Julian Quiroga - #389
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Enhancing Automated Basketball Video Production Through Game State Analysis
This chapter explores the challenges and strategies involved in automating the video production of basketball games, focusing on player positioning and game states. It highlights the need for a balance between capturing pivotal moments quickly and maintaining detailed accuracy during live broadcasts.
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