AuthorsM. Lux, M. Riegler, D. Dang-Nguyen, M. Larson, M. Potthast and P. Halvorsen
TitleTeam ORG @ GameStory Task 2018
AfilliationMachine Learning
Project(s)Department of Holistic Systems
Publication TypeProceedings, refereed
Year of Publication2018
Conference NameProceeding of the MediaEval Benchmarking Initiative for Multimedia Evaluation
Date Published10/2018

This paper describes the approach of the organizers' team for a submission to the GameStory task at MediaEval 2018. Goal of the task is to provide a summary of a  match of Counter Strike: Global Offensive (CS:GO), a popular e-sports game, that boils down a long game to it's most important events and delivers a story on the progress of the match. Our approach was to provide match statistics and overlay them with events and highlights of the game. We focused on ends of critical rounds, i.e. the rounds where one team took the lead over the other one, and kill streaks, where one player eliminated a substantial number of other players in short time. 

Citation Key26275

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