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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F14%3APU109609%21RIV15-MSM-26220___
rdf:type
n11:Vysledek skos:Concept
dcterms:description
Our major contribution is to propose QoE assessment methodologies for mobile YouTube which is currently the most prominent on-line video portal. For this purpose we designed two assessment methodologies which are reflecting real usage scenarios. The focus is given on different variables: the video streaming profile, end user device and overall conditions. Furthermore, the implementation of various test conditions into the test methodology is explained and both quality ratings are described in details. Finally, rating types are compared and their performance and contributions are discussed on selected YouTube QoE results. Our major contribution is to propose QoE assessment methodologies for mobile YouTube which is currently the most prominent on-line video portal. For this purpose we designed two assessment methodologies which are reflecting real usage scenarios. The focus is given on different variables: the video streaming profile, end user device and overall conditions. Furthermore, the implementation of various test conditions into the test methodology is explained and both quality ratings are described in details. Finally, rating types are compared and their performance and contributions are discussed on selected YouTube QoE results.
dcterms:title
Users Happiness in Numbers: Understanding Mobile YouTube Quality Expectations Users Happiness in Numbers: Understanding Mobile YouTube Quality Expectations
skos:prefLabel
Users Happiness in Numbers: Understanding Mobile YouTube Quality Expectations Users Happiness in Numbers: Understanding Mobile YouTube Quality Expectations
skos:notation
RIV/00216305:26220/14:PU109609!RIV15-MSM-26220___
n4:aktivita
n14:S n14:P
n4:aktivity
P(ED2.1.00/03.0072), P(EE2.3.30.0005), S
n4:dodaniDat
n10:2015
n4:domaciTvurceVysledku
n5:6016189 n5:6533132 Nagy, Ľuboš
n4:druhVysledku
n9:D
n4:duvernostUdaju
n21:S
n4:entitaPredkladatele
n15:predkladatel
n4:idSjednocenehoVysledku
52396
n4:idVysledku
RIV/00216305:26220/14:PU109609
n4:jazykVysledku
n12:eng
n4:klicovaSlova
Mobile Video Service, QoE Assessment Methodology, YouTube.
n4:klicoveSlovo
n7:YouTube. n7:Mobile%20Video%20Service n7:QoE%20Assessment%20Methodology
n4:kontrolniKodProRIV
[8DFF1444BD2A]
n4:mistoKonaniAkce
Berlín
n4:mistoVydani
Berlin, Germany
n4:nazevZdroje
Proceedings of the 37th International Conference on Telecommunication and Signal Processing, TSP 2014
n4:obor
n8:JA
n4:pocetDomacichTvurcuVysledku
3
n4:pocetTvurcuVysledku
10
n4:projekt
n6:EE2.3.30.0005 n6:ED2.1.00%2F03.0072
n4:rokUplatneniVysledku
n10:2014
n4:tvurceVysledku
Hošek, Jiří Penížek, Radek Vajsar, Pavel Galinina, Olga Koucheryavy, Yevgeni Nagy, Ľuboš Šulc, Zdeněk Hais, Petr Ries, Michal Andreev, Sergey
n4:typAkce
n13:WRD
n4:zahajeniAkce
2014-07-01+02:00
s:numberOfPages
5
n16:hasPublisher
Asszisztencia Szervezo Kft.
n17:isbn
978-80-214-4983-1
n19:organizacniJednotka
26220