Video Quality Prediction over Wireless 4G

Handle URI:
http://hdl.handle.net/10754/362460
Title:
Video Quality Prediction over Wireless 4G
Authors:
Lau, Chun Pong; Zhang, Xiangliang ( 0000-0002-3574-5665 ) ; Shihada, Basem ( 0000-0003-4434-4334 )
Abstract:
In this paper, we study the problem of video quality prediction over the wireless 4G network. Video transmission data is collected from a real 4G SCM testbed for investigating factors that affect video quality. After feature transformation and selection on video and network parameters, video quality is predicted by solving as regression problem. Experimental results show that the dominated factor on video quality is the channel attenuation and video quality can be well estimated by our models with small errors.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Publisher:
Springer Science + Business Media
Journal:
Advances in Knowledge Discovery and Data Mining
Conference/Event name:
17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013
Issue Date:
14-Apr-2013
DOI:
10.1007/978-3-642-37456-2_35
Type:
Conference Paper
ISSN:
0302-9743
ISBN:
978-3-642-37456-2
Additional Links:
http://www.shihada.com/node/publications/PAKDD2013submit.pdf
Appears in Collections:
Conference Papers; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorLau, Chun Pongen
dc.contributor.authorZhang, Xiangliangen
dc.contributor.authorShihada, Basemen
dc.date.accessioned2015-04-09T06:23:06Zen
dc.date.available2015-04-09T06:23:06Zen
dc.date.issued2013-04-14en
dc.identifier.isbn978-3-642-37456-2en
dc.identifier.issn0302-9743en
dc.identifier.doi10.1007/978-3-642-37456-2_35en
dc.identifier.urihttp://hdl.handle.net/10754/362460en
dc.description.abstractIn this paper, we study the problem of video quality prediction over the wireless 4G network. Video transmission data is collected from a real 4G SCM testbed for investigating factors that affect video quality. After feature transformation and selection on video and network parameters, video quality is predicted by solving as regression problem. Experimental results show that the dominated factor on video quality is the channel attenuation and video quality can be well estimated by our models with small errors.en
dc.publisherSpringer Science + Business Mediaen
dc.relation.urlhttp://www.shihada.com/node/publications/PAKDD2013submit.pdfen
dc.rights© Springer International Publishing AG, Part of Springer Science+Business Media. http://dx.doi.org/10.1007/978-3-642-37456-2_35en
dc.titleVideo Quality Prediction over Wireless 4Gen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalAdvances in Knowledge Discovery and Data Miningen
dc.conference.date14 April 2013 through 17 April 2013en
dc.conference.name17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013en
dc.conference.locationGold Coast, QLDen
dc.eprint.versionPost-printen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorZhang, Xiangliangen
kaust.authorShihada, Basemen
kaust.authorLau, Chun Pongen
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