Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings |
| Subtitle of host publication | Fifth International Workshop on Quality of Multimedia Experience, QoMEX 2013 |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 6-11 |
| ISBN (Electronic) | 978-1-4799-0738-0 |
| DOIs | |
| Publication status | Published - 2013 |
| MoE publication type | Not Eligible |
| Event | 5th International Workshop on Quality of Multimedia Experience, QoMEX 2013 - Klagenfurt am Wörthersee, Austria Duration: 5 Jul 2013 → 7 Jul 2013 Conference number: 5 |
Conference
| Conference | 5th International Workshop on Quality of Multimedia Experience, QoMEX 2013 |
|---|---|
| Abbreviated title | QoMEX 2013 |
| Country | Austria |
| City | Klagenfurt am Wörthersee |
| Period | 5/07/13 → 7/07/13 |
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Keywords
- audiovisual quality assessment
- feature clustering
- neural network
- video quality assessment
Cite this
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A reduced-reference parametric model for audiovisual quality of IPTV services. / Mäki, Toni; Kukolj, D.; Dordevic, D.; Varela, Martin.
Proceedings: Fifth International Workshop on Quality of Multimedia Experience, QoMEX 2013. IEEE Institute of Electrical and Electronic Engineers , 2013. p. 6-11.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - A reduced-reference parametric model for audiovisual quality of IPTV services
AU - Mäki, Toni
AU - Kukolj, D.
AU - Dordevic, D.
AU - Varela, Martin
PY - 2013
Y1 - 2013
N2 - In this paper we present a parametric model for audiovisual quality estimation in IPTV and similar services. The proposed model takes advantage of signal characteristics calculated at the sender (in particular related to levels of motion in the content), but is purely parametric on the estimation (i.e. it does not require peeking into the bitstream), which makes it suitable for large-scale real-time monitoring applications. In order to obtain the model, we followed the Pseudo-Subjective Quality Assessment (PSQA) methodology, and compared different kinds of statistical estimators, namely Multilayer Perceptrons (MLP) and Random Neural Networks (RNN).
AB - In this paper we present a parametric model for audiovisual quality estimation in IPTV and similar services. The proposed model takes advantage of signal characteristics calculated at the sender (in particular related to levels of motion in the content), but is purely parametric on the estimation (i.e. it does not require peeking into the bitstream), which makes it suitable for large-scale real-time monitoring applications. In order to obtain the model, we followed the Pseudo-Subjective Quality Assessment (PSQA) methodology, and compared different kinds of statistical estimators, namely Multilayer Perceptrons (MLP) and Random Neural Networks (RNN).
KW - audiovisual quality assessment
KW - feature clustering
KW - neural network
KW - video quality assessment
U2 - 10.1109/QoMEX.2013.6603193
DO - 10.1109/QoMEX.2013.6603193
M3 - Conference article in proceedings
SP - 6
EP - 11
BT - Proceedings
PB - IEEE Institute of Electrical and Electronic Engineers
ER -