AuthorsM. Lux, M. Riegler, D. Dang-Nguyen, M. Larson, M. Potthast and P. Halvorsen
TitleGameStory Task at MediaEval 2018
AfilliationCommunication Systems, Machine Learning
Project(s)No Simula project
StatusPublished
Publication TypeProceedings, refereed
Year of Publication2018
Conference NameProceeding of the MediaEval Benchmarking Initiative for Multimedia Evaluation
Date Published10/2018
PublisherCEUR Workshop Proceedings
Abstract

That video games have reached the masses is well known. Moreover, game streaming and watching other people play video games is a phenomenon that has outgrown its small beginnings. Game video streams, be it live or recorded, are viewed by millions. E-sports is the result of organized leagues and tournaments in which players can compete in controlled environments and viewers can experience the matches, discuss and criticize, just like in physical sports. In the GameStory task, taking place the first time in 2018, we approach the game streaming and e-sports phenomena from a multimedia research side. We focus on the task of summarizing matches using a specific relevant game, Counter-Strike: Global Offensive, as a case study. With the help of ZNIPE.tv, we provide a data set of high quality data and meta data from competitive tournaments and aim to foster research in the area of e-sports and game streaming.

Citation Key26274

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