Authors | M. Lux, M. Riegler, D. Dang-Nguyen, J. Pirker, M. Potthast and P. Halvorsen |
Title | GameStory Task at MediaEval 2019 |
Afilliation | Communication Systems, Machine Learning |
Project(s) | Department of Holistic Systems |
Status | Published |
Publication Type | Proceedings, refereed |
Year of Publication | 2019 |
Conference Name | Proceedings of MediaEval 2019 |
Date Published | 10/2019 |
Publisher | CEUR Workshop Proceedings (CEUR-WS.org) |
Abstract | 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 ZNIPE.tv, 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 Key | 27106 |