Here we provide data and more results for reproducing results of our paper A Comparative Study of DASH Representation Sets Using Real User Characteristics (submitted to NOSSDAV 2016). The download link for the paper will appear as soon as it is published. If you are using any of the data or videos provided, please cite our paper accordingly. Thank you.
|Video and Satisfaction Dataset||Info and Figures ( Encoded Videos | Source Videos (Y4M))|
|Realistic User Base||Info and Figures (Requests for 2014-1-6 2014-1-7 2014-1-8 2014-1-9 2014-1-10 2014-1-11 2014-1-12 )|
|Representation Sets||Apple Netflix YouTube Optimal C100M-K24 Optimal C100M-K40 Optimal C100M-K44 Optimal C200M-K24 Optimal C200M-K40 Optimal C200M-K44|
- Link to Paper (soon)
- Link to Presentation (soon)
- Contact and Citation
- Simulation Framework AMuSt (Adaptive Multimedia Streaming) @ Github
Alpen-Adria-University (AAU) Klagenfurt
Faculty of Technical Sciences at AAU
Institute of Information Technology (ITEC) at AAU
DASH at ITEC
You can download our paper TO APPEAR
If you use any part of this dataset for your research, we kindly ask you to refer this paper in any publication mentioning or using our dataset:
Christian Kreuzberger, Benjamin Rainer, Hermann Hellwagner, Laura Toni, Pascal Frossard: "A Comparative Study of DASH Representation Sets Using Real User Characteristics", submitted to NOSSDAV 2016.
This work was partly funded by the Austrian Science Fund (FWF) under the CHIST-ERA project CONCERT (A Context-Adaptive Content Ecosystem Under Uncertainty), project number I1402.