prikaz prve stranice dokumenta Cloud Gaming QoE Models for Deriving Video Encoding Adaptation Strategies
Access restricted to all Croatian higher education institution's students and staff
Scientific paper - Original scientific paper
Cloud Gaming QoE Models for Deriving Video Encoding Adaptation Strategies
In: Proceedings of the 7th ACM Multimedia Systems Conference. ACM, 2016. pp. 1-12. urn:nbn:hr:168:171296
Slivar, Ivan; Skorin-Kapov, Lea; Sužnjević, Mirko

Cite this document

Slivar, I., Skorin Kapov, L. & Sužnjević, M. (2016). Cloud Gaming QoE Models for Deriving Video Encoding Adaptation Strategies. Proceedings of the 7th ACM Multimedia Systems Conference (pp. 1-12). ACM. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:171296

Slivar, Ivan, et al. "Cloud Gaming QoE Models for Deriving Video Encoding Adaptation Strategies." Proceedings of the 7th ACM Multimedia Systems Conference, ACM, 2016, pp. 1-12. https://urn.nsk.hr/urn:nbn:hr:168:171296

Slivar, Ivan, Lea Skorin Kapov and Mirko Sužnjević. "Cloud Gaming QoE Models for Deriving Video Encoding Adaptation Strategies." In Proceedings of the 7th ACM Multimedia Systems Conference, 1-12. ACM, 2016. Accessed 2023 February 01. https://urn.nsk.hr/urn:nbn:hr:168:171296

Slivar, I., Skorin Kapov, L. and Sužnjević, M. (2016) 'Cloud Gaming QoE Models for Deriving Video Encoding Adaptation Strategies', Proceedings of the 7th ACM Multimedia Systems Conference, ACM, pp. 1-12. Available at: https://urn.nsk.hr/urn:nbn:hr:168:171296 (Accessed 01 February 2023)

Slivar I, Skorin Kapov L, Sužnjević M. Cloud Gaming QoE Models for Deriving Video Encoding Adaptation Strategies. Proceedings of the 7th ACM Multimedia Systems Conference. ACM; 2016. Pp. 1-12. [cited 2023 February 01] Available at: https://urn.nsk.hr/urn:nbn:hr:168:171296

I. Slivar, L. Skorin Kapov and M. Sužnjević, "Cloud Gaming QoE Models for Deriving Video Encoding Adaptation Strategies", Proceedings of the 7th ACM Multimedia Systems Conference ACM, 2016. [Online] Available at: https://urn.nsk.hr/urn:nbn:hr:168:171296 [Accessed: 01 February 2023]

Please login to the repository to save this object to your list.
Metadata
Title (english)Cloud Gaming QoE Models for Deriving Video Encoding Adaptation Strategies
AuthorIvan Slivar
AuthorLea Skorin-Kapov
AuthorMirko Sužnjević
Author's institutionUniversity 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)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionDraft version
Publication titleProceedings of the 7th ACM Multimedia Systems Conference
Numberingpp. 1-12
ISBN9781450342971
URN:NBNurn:nbn:hr:168:171296
Publication2016
ProjectNumber: 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
ConferenceTitle: 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 URLhttp://bib.irb.hr/804644
Type of resourceText
PublisherACM
Access conditionsRestricted access
Terms of useLicence In copyright icon
Created on2022-05-18 09:40:27