GamingVideoSET : a dataset for gaming video streaming applications

Barman, Nabajeet, Zadtootaghaj, Saman, Schmidt, Steven, Martini, Maria G. and Möller, Sebastian (2018) GamingVideoSET : a dataset for gaming video streaming applications. In: 2018 16th Annual Workshop on Network and Systems Support for Games (NetGames); 12-15 Jun 2018, Amsterdam, Netherlands.

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Abstract

This paper presents GamingVideoSET1, a dataset consisting of twenty-four uncompressed raw gaming videos of 30 seconds duration, 1080p resolution, and 30 fps for the research community working on gaming video quality assessment. Furthermore, the data set includes subjective quality assessment results for 90 video sequences obtained by encoding six different gaming videos using the H.264/MPEG-AVC codec standard in 15 different resolution-bitrate pairs (three resolution, five bitrates each). In addition to the reference videos, the dataset offers a total of 576 distorted videos in MP4 format, obtained by encoding the videos in 24 different resolution-bitrate pairs, and their objective quality assessment results (average and per-frame) using three video quality assessment metrics.

Item Type: Conference or Workshop Item (Paper)
Event Title: 2018 16th Annual Workshop on Network and Systems Support for Games (NetGames)
Additional Information: This work was supported by the European Union’s Horizon 2020 research and innovation programme under Marie Skłodowska-Curie [grant number 643072] and German Research Foundation (DFG) within project MO 1038/21-1. Published in Proceedings of the 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 (electronic) 9781538660980.
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: 18 Sep 2018 13:54
Last Modified: 25 Mar 2019 12:31
DOI: https://doi.org/10.1109/NetGames.2018.8463362
URI: http://eprints.kingston.ac.uk/id/eprint/41300

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