Cloud Gaming QoE Models for Deriving Video Encoding Adaptation Strategies

Scientific paper - Original scientific paper

• Author: Ivan Slivar
• Author: Lea Skorin-Kapov
• Author: Mirko Sužnjević
• Author's institution: University of Zagreb; Faculty of Electrical Engineering and Computing
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract (english)

Cloud gaming has been recognized as a promising shift in the online game industry, with the aim being to deliver highquality graphics games to any type of end user device. The concepts of cloud computing are leveraged to render the game scene as a video stream which is then delivered to players in real-time. Given high bandwidth and strict latency requirements, a key challenge faced by cloud game providers lies in configuring the video encoding parameters so as to maximize player Quality of Experience (QoE) while meeting bandwidth availability constraints. In this paper we address this challenge by conducting a subjective laboratory study involving 52 players and two different games aimed at identifying QoE-driven video coding adaptation strategies. Empirical results are used to derive analytical QoE estimation models as functions of bitrate and framerate, while also taking into account game type and player skill. Results have shown that under certain identified bandwidth conditions, reductions of framerate lead to QoE improvements due to improved graphics quality. Given that results indicate that different QoE-driven video adaptation policies should likely be applied for different types of games, we further report on objective video metrics that may be used to classify games for the purpose of choosing an appropriate and QoE-driven video codec configuration strategy.

• Keywords (english): Cloud gaming; QoE; Adaptation strategies; QoE modelling; Video encoding
• Language: english
• Publication type: Scientific paper - Original scientific paper
• Publication status: Published
• Peer review: Peer review - international
• Publication version: Draft version
• Publication title: Proceedings of the 7th ACM Multimedia Systems Conference
• Numbering: pp. 1-12
• ISBN: 9781450342971
• URN:NBN: urn:nbn:hr:168:171296
• Publication: 2016
• Project: Number: UIP-2014-09-5605; Title (croatian): Kooperativno upravljanje iskustvenom kvalitetom upokretnim mrežama za interaktivne višemedijske aplikacije u računalom oblaku; Title (english): Cooperative Quality of Experience Management for Interactive Cloud-Based Multimedia Applications in Mobile Networks; Acronym: Q-MANIC; Leader: Lea Skorin-Kapov; Jurisdiction: Croatia; Funding stream: UIP
• Conference: Title: MMSys '16: Proceedings of the 7th International Conference on Multimedia Systems; Location: Klagenfurt, Austria; Start date: 2016-05-10; End date: 2016-05-13; Assembly type: Lecture
• Document URL: http://bib.irb.hr/804644
• Type of resource: Text
• Publisher: ACM
• Access conditions: Restricted access
• Created on: 2022-05-18 09:40:27