AuthorsM. Lux, M. Riegler, D. Dang-Nguyen, J. Pirker, M. Potthast and P. Halvorsen
TitleGameStory Task at MediaEval 2019
AfilliationCommunication Systems, Machine Learning
Project(s)Department of Holistic Systems
Publication TypeProceedings, refereed
Year of Publication2019
Conference NameProceedings of MediaEval 2019
Date Published10/2019
PublisherCEUR Workshop Proceedings (

Game video streams are watched by millions, so that, meanwhile, one can make a living from broadcasting and commenting video games, whereas some have become professional e-sports athletes. E-sports leagues and tournaments have emerged worldwide, where players compete in controlled environments, streaming the matches online, and allowing the audience to discuss and criticize the game- play. In the GameStory task, held for the second time at MediaEval, we foster research into this exciting domain. Our focus is on an- alyzing and summarizing video game streams. With the help of, we compiled a high-quality dataset of a Counter-Strike: Global Offensive tournament alongside ground truth labels for two analysis tasks, forming a basis for summarization.

Citation Key27106

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