Detail publikace

Users Happiness in Numbers: Understanding Mobile YouTube Quality Expectations

Originální název

Users Happiness in Numbers: Understanding Mobile YouTube Quality Expectations

Anglický název

Users Happiness in Numbers: Understanding Mobile YouTube Quality Expectations

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

BibTex


@inproceedings{BUT108342,
  author="Jiří {Hošek} and Michal {Ries} and Pavel {Vajsar} and Ľuboš {Nagy} and Sergey {Andreev} and Olga {Galinina} and Yevgeni {Koucheryavy} and Zdeněk {Šulc} and Petr {Hais} and Radek {Penížek}",
  title="Users Happiness in Numbers: Understanding Mobile YouTube Quality Expectations",
  annote="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.",
  address="Asszisztencia Szervezo Kft.",
  booktitle="Proceedings of the 38th International Conference on Telecommunication and Signal Processing",
  chapter="108342",
  howpublished="electronic, physical medium",
  institution="Asszisztencia Szervezo Kft.",
  year="2014",
  month="july",
  pages="607--611",
  publisher="Asszisztencia Szervezo Kft.",
  type="conference paper"
}