Prediction of video quality degradation on a cloud gaming platform.
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.
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 |
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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) |
_version_ | 1807522936225005568 |
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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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collection | COLIBRI |
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. |
dc.format.extent.es.fl_str_mv | 5 p. |
dc.format.mimetype.es.fl_str_mv | application/pdf |
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 |
id | COLIBRI_e95b5fa89cd7c6f1da7cfd3544a6c7d2 |
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 |