Behind the Streams: An In-Depth Look at ML-Powered Analysis of FPS Gameplay
Using ML and AI to analyze and segment gaming streams for automated highlight detection.
Abstract
Gaming streams generate hours of content, but only minutes are highlight-worthy. This talk explores how machine learning can automatically identify and extract the best moments from FPS gameplay streams.
We'll dive into computer vision techniques for game state detection, audio analysis for excitement detection, and natural language processing for chat sentiment analysis. You'll see how to combine these signals to build an automated highlight detection system that rivals human editors.
Presentation History
dev up
St. Louis, USA • August 16, 2024
dev up User Group (as "Behind the Streams: An In-Depth Look at Machine Learning-Powered Analysis of FPS")
St. Louis, USA • July 29, 2024
KCDC
Kansas City, USA • June 26-28, 2024
DevConf Poland (as "Behind the Streams: An In-Depth Look at ML- and AI-Powered Analysis of FPS Gameplay")
Kraków, Poland • November 9-10, 2023
Interested in this talk?
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