Publication
Real-time game highlight detection for data-driven league of legends coaching
Conference Article
Conference
Workshop on Data Engineering and Analytics (WDEA)
Edition
2025
Pages
211-223
Doc link
https://ceur-ws.org/Vol-4055/icaiw_wdea_5.pdf
File
Authors
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Valero, Rosana
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Diaz, Cesar O.
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Sanchez Riera, Jordi
Abstract
League of Legends is one of the most popular e-Sports games, with its highly competitive gameplay demanding both strategic precision and real-time decision-making. Analyzing high-impact events is key for coaching, match analysis, and content creation. This study presents a real-time highlight detection system that identifies impactful moments by fusing visual and audio cues. Visual indicators are extracted using optical flow and color intensity, while audio excitement is captured from caster commentary using pitch and volume analysis. Experiments conducted on professional match footage demonstrate the system’s effectiveness and its potential for e-Sports analytics, coaching, and automated workflows. Future work will explore integrating player facial expressions, voice communication, and emotional context to better understand high-pressure moments and enhance highlight interpretation.
Categories
active vision, image classification.
Author keywords
League of Legends, e-Sports Analytics, Highlight Detection, Multi-modal Analysis, Optical Flow
Scientific reference
R. Valero, C.O. Diaz and J. Sanchez. Real-time game highlight detection for data-driven league of legends coaching, 2025 Workshop on Data Engineering and Analytics, 2025, Ben Guerir, Morocco, pp. 211-223.
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