Prediction of video quality degradation on a cloud gaming platform.

Amaral Bordón, Alex Daniel - Armendariz Voelker, Alejandra - Erramuspe Reyes, Santiago - Joskowicz, José - Liu, Mengying

Resumen:

Cloud gaming has become a promising way to play high-quality video games on relatively inexpensive devices. Cloud gaming platforms run interactive video games remotely in the cloud and stream multimedia to the gamer’s device via a telecommunications network. These platforms have many benefits, but also pose several problems and challenges, as they are highly dependent on the network from servers to users. This work aims to study the effect of network impairments on video quality, and to predict video quality degradation in real time. In particular, it was determined that latency is a good predictor of packet loss, which was found to result in visual degradation. Based on this, an algorithm was designed to predict real-time visual degradations before they actually occur.


Detalles Bibliográficos
2023
Degradation
Visualization
Video games
Cloud gaming
Streaming media
Prediction algorithms
Real-time systems
Multimedia transmission
Multimedia service
Visual degradations
Real-time prediction
Quality of experience
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/39562
Acceso abierto
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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author Amaral Bordón, Alex Daniel
author2 Armendariz Voelker, Alejandra
Erramuspe Reyes, Santiago
Joskowicz, José
Liu, Mengying
author2_role author
author
author
author
author_facet Amaral Bordón, Alex Daniel
Armendariz Voelker, Alejandra
Erramuspe Reyes, Santiago
Joskowicz, José
Liu, Mengying
author_role author
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dc.contributor.filiacion.none.fl_str_mv Amaral Bordón Alex Daniel, Universidad de la República (Uruguay). Facultad de Ingeniería.
Armendariz Voelker Alejandra, Universidad de la República (Uruguay). Facultad de Ingeniería.
Erramuspe Reyes Santiago, Universidad de la República (Uruguay). Facultad de Ingeniería.
Joskowicz José, Universidad de la República (Uruguay). Facultad de Ingeniería.
Liu Mengying, China Mobile Research Institute
dc.creator.none.fl_str_mv Amaral Bordón, Alex Daniel
Armendariz Voelker, Alejandra
Erramuspe Reyes, Santiago
Joskowicz, José
Liu, Mengying
dc.date.accessioned.none.fl_str_mv 2023-08-21T13:51:07Z
dc.date.available.none.fl_str_mv 2023-08-21T13:51:07Z
dc.date.issued.none.fl_str_mv 2023
dc.description.abstract.none.fl_txt_mv Cloud gaming has become a promising way to play high-quality video games on relatively inexpensive devices. Cloud gaming platforms run interactive video games remotely in the cloud and stream multimedia to the gamer’s device via a telecommunications network. These platforms have many benefits, but also pose several problems and challenges, as they are highly dependent on the network from servers to users. This work aims to study the effect of network impairments on video quality, and to predict video quality degradation in real time. In particular, it was determined that latency is a good predictor of packet loss, which was found to result in visual degradation. Based on this, an algorithm was designed to predict real-time visual degradations before they actually occur.
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dc.identifier.citation.es.fl_str_mv Amaral Bordón, A., Armendariz Voelker, A., Erramuspe Reyes, S. y otros. Prediction of video quality degradation on a cloud gaming platform [Preprint]. EN: 2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Beijing, China, 14-16 jun 2023, p. 1-5. DOI: 10.1109/BMSB58369.2023.10211223
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/39562
dc.language.iso.none.fl_str_mv en
eng
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.es.fl_str_mv Degradation
Visualization
Video games
Cloud gaming
Streaming media
Prediction algorithms
Real-time systems
Multimedia transmission
Multimedia service
Visual degradations
Real-time prediction
Quality of experience
dc.title.none.fl_str_mv Prediction of video quality degradation on a cloud gaming platform.
dc.type.es.fl_str_mv Preprint
dc.type.none.fl_str_mv info:eu-repo/semantics/preprint
dc.type.version.none.fl_str_mv info:eu-repo/semantics/submittedVersion
description Cloud gaming has become a promising way to play high-quality video games on relatively inexpensive devices. Cloud gaming platforms run interactive video games remotely in the cloud and stream multimedia to the gamer’s device via a telecommunications network. These platforms have many benefits, but also pose several problems and challenges, as they are highly dependent on the network from servers to users. This work aims to study the effect of network impairments on video quality, and to predict video quality degradation in real time. In particular, it was determined that latency is a good predictor of packet loss, which was found to result in visual degradation. Based on this, an algorithm was designed to predict real-time visual degradations before they actually occur.
eu_rights_str_mv openAccess
format preprint
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identifier_str_mv Amaral Bordón, A., Armendariz Voelker, A., Erramuspe Reyes, S. y otros. Prediction of video quality degradation on a cloud gaming platform [Preprint]. EN: 2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Beijing, China, 14-16 jun 2023, p. 1-5. DOI: 10.1109/BMSB58369.2023.10211223
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language eng
language_invalid_str_mv en
network_acronym_str COLIBRI
network_name_str COLIBRI
oai_identifier_str oai:colibri.udelar.edu.uy:20.500.12008/39562
publishDate 2023
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
repository_id_str 4771
rights_invalid_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
spelling Amaral Bordón Alex Daniel, Universidad de la República (Uruguay). Facultad de Ingeniería.Armendariz Voelker Alejandra, Universidad de la República (Uruguay). Facultad de Ingeniería.Erramuspe Reyes Santiago, Universidad de la República (Uruguay). Facultad de Ingeniería.Joskowicz José, Universidad de la República (Uruguay). Facultad de Ingeniería.Liu Mengying, China Mobile Research Institute2023-08-21T13:51:07Z2023-08-21T13:51:07Z2023Amaral Bordón, A., Armendariz Voelker, A., Erramuspe Reyes, S. y otros. Prediction of video quality degradation on a cloud gaming platform [Preprint]. EN: 2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Beijing, China, 14-16 jun 2023, p. 1-5. DOI: 10.1109/BMSB58369.2023.10211223https://hdl.handle.net/20.500.12008/39562Cloud gaming has become a promising way to play high-quality video games on relatively inexpensive devices. Cloud gaming platforms run interactive video games remotely in the cloud and stream multimedia to the gamer’s device via a telecommunications network. These platforms have many benefits, but also pose several problems and challenges, as they are highly dependent on the network from servers to users. This work aims to study the effect of network impairments on video quality, and to predict video quality degradation in real time. In particular, it was determined that latency is a good predictor of packet loss, which was found to result in visual degradation. Based on this, an algorithm was designed to predict real-time visual degradations before they actually occur.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2023-08-18T18:44:11Z No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) AAEJL23.pdf: 3499384 bytes, checksum: b010ba9b262a341b23fc8c9a5eb3f3e3 (MD5)Approved for entry into archive by Berón Cecilia (cberon@fing.edu.uy) on 2023-08-18T18:53:55Z (GMT) No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) AAEJL23.pdf: 3499384 bytes, checksum: b010ba9b262a341b23fc8c9a5eb3f3e3 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2023-08-21T13:51:07Z (GMT). No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) AAEJL23.pdf: 3499384 bytes, checksum: b010ba9b262a341b23fc8c9a5eb3f3e3 (MD5) Previous issue date: 20235 p.application/pdfenengLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)DegradationVisualizationVideo gamesCloud gamingStreaming mediaPrediction algorithmsReal-time systemsMultimedia transmissionMultimedia serviceVisual degradationsReal-time predictionQuality of experiencePrediction of video quality degradation on a cloud gaming platform.Preprintinfo:eu-repo/semantics/preprintinfo:eu-repo/semantics/submittedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaAmaral Bordón, Alex DanielArmendariz Voelker, AlejandraErramuspe Reyes, SantiagoJoskowicz, JoséLiu, MengyingLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/39562/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; 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- Universidad de la Repúblicafalse
spellingShingle Prediction of video quality degradation on a cloud gaming platform.
Amaral Bordón, Alex Daniel
Degradation
Visualization
Video games
Cloud gaming
Streaming media
Prediction algorithms
Real-time systems
Multimedia transmission
Multimedia service
Visual degradations
Real-time prediction
Quality of experience
status_str submittedVersion
title Prediction of video quality degradation on a cloud gaming platform.
title_full Prediction of video quality degradation on a cloud gaming platform.
title_fullStr Prediction of video quality degradation on a cloud gaming platform.
title_full_unstemmed Prediction of video quality degradation on a cloud gaming platform.
title_short Prediction of video quality degradation on a cloud gaming platform.
title_sort Prediction of video quality degradation on a cloud gaming platform.
topic Degradation
Visualization
Video games
Cloud gaming
Streaming media
Prediction algorithms
Real-time systems
Multimedia transmission
Multimedia service
Visual degradations
Real-time prediction
Quality of experience
url https://hdl.handle.net/20.500.12008/39562