A classification of video games based on game characteristics linked to video coding complexity

Zadtootaghaj, Saman, Schmidt, Steven, Barman, Nabajeet, Möller, Sebastian and Martini, Maria G. (2018) A classification of video games based on game characteristics linked to video coding complexity. In: ., , (ed.) 2018 16th Annual Workshop on Network and Systems Support for Games (NetGames). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISSN (online) 2156-8146 ISBN 9781538660980 (Unpublished)

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Abstract

Applications used for video streaming of gaming content have seen tremendous growth over the recent years as evident with the increasing popularity of services such as Twitch.tv and YouTubeGaming. Gaming video streaming encoding needs to be performed in real-time and thus has a strict set of encoding constraints. Therefore, many traditional encoding optimization methods such as multiple-pass encoding are not suitable for live gaming video streaming applications. The video quality of streaming services is highly content dependent. While this holds true also for conventional contents, there exist many characteristics of games that do not vary much over time. Therefore, such game-specific information can be exploited to optimize the encoding process. In this paper, we present a classification of games using characteristics such as the type of camera movement, texture details, and static areas of a scene. Using a database of gaming videos from different genres and complexity, we obtain clusters corresponding to the calculated quality values (VMAF). The derived gaming characteristics are then mapped to the quality classes to obtain a decision tree based game classification. We illustrate how the classification can be used for encoding bitrate selection and quality prediction.

Item Type: Book Section
Additional Information: Published version of Zadtootaghaj, Saman, Schmidt, Steven, Barman, Nabajeet, Möller, Sebastian and Martini, Maria G. (2018) A classification of video games based on game characteristics linked to video coding complexity. In: 16th Annual Workshop on Network and Systems Support for Games (NetGames 2018); 12 - 15 June 2018, Amsterdam (Netherlands).
Research Area: Computer science and informatics
Faculty, School or Research Centre: Faculty of Science, Engineering and Computing
Faculty of Science, Engineering and Computing > School of Computer Science and Mathematics
Depositing User: Nabajeet Barman
Date Deposited: 03 Jul 2018 17:14
Last Modified: 18 Sep 2018 14:00
DOI: https://doi.org/10.1109/NetGames.2018.8463434
URI: http://eprints.kingston.ac.uk/id/eprint/40977

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