Hybrid video quality prediction: reviewing video quality measurement for widening application scope
Gespeichert in:
Verfasser / Beitragende:
[Marcus Barkowsky, Iñigo Sedano, Kjell Brunnström, Mikołaj Leszczuk, Nicolas Staelens]
Ort, Verlag, Jahr:
2015
Enthalten in:
Multimedia Tools and Applications, 74/2(2015-01-01), 323-343
Format:
Artikel (online)
Online Zugang:
| LEADER | caa a22 4500 | ||
|---|---|---|---|
| 001 | 605446822 | ||
| 003 | CHVBK | ||
| 005 | 20210128100129.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150101xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s11042-014-1978-2 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s11042-014-1978-2 | ||
| 245 | 0 | 0 | |a Hybrid video quality prediction: reviewing video quality measurement for widening application scope |h [Elektronische Daten] |c [Marcus Barkowsky, Iñigo Sedano, Kjell Brunnström, Mikołaj Leszczuk, Nicolas Staelens] |
| 520 | 3 | |a A tremendous number of objective video quality measurement algorithms have been developed during the last two decades. Most of them either measure a very limited aspect of the perceived video quality or they measure broad ranges of quality with limited prediction accuracy. This paper lists several perceptual artifacts that may be computationally measured in an isolated algorithm and some of the modeling approaches that have been proposed to predict the resulting quality from those algorithms. These algorithms usually have a very limited application scope but have been verified carefully. The paper continues with a review of some standardized and well-known video quality measurement algorithms that are meant for a wide range of applications, thus have a larger scope. Their individual artifacts prediction accuracy is usually lower but some of them were validated to perform sufficiently well for standardization. Several difficulties and shortcomings in developing a general purpose model with high prediction performance are identified such as a common objective quality scale or the behavior of individual indicators when confronted with stimuli that are out of their prediction scope. The paper concludes with a systematic framework approach to tackle the development of a hybrid video quality measurement in a joint research collaboration. | |
| 540 | |a The Author(s), 2014 | ||
| 690 | 7 | |a Video quality assessment |2 nationallicence | |
| 690 | 7 | |a Human visual system |2 nationallicence | |
| 690 | 7 | |a Hybrid model development |2 nationallicence | |
| 690 | 7 | |a Perceptual indicators |2 nationallicence | |
| 690 | 7 | |a Quality of Experience |2 nationallicence | |
| 700 | 1 | |a Barkowsky |D Marcus |u LUNAM Université, Université de Nantes, IRCCyN UMR CNRS 6597, Rue Christian Pauc, 44306, Nantes, France |4 aut | |
| 700 | 1 | |a Sedano |D Iñigo |u TECNALIA, ICT - European Software Institute, Parque Tecnológico de Bizkaia, Edificio 202, 48170, Zamudio, Spain |4 aut | |
| 700 | 1 | |a Brunnström |D Kjell |u Department of Netlab, Acreo Swedish ICT AB (and Mid Sweden University), Stockholm, Sweden |4 aut | |
| 700 | 1 | |a Leszczuk |D Mikołaj |u AGH University of Science and Technology, al. Mickiewicza 30, 30059, Kraków, Poland |4 aut | |
| 700 | 1 | |a Staelens |D Nicolas |u Department of Information Technology, Ghent University - iMinds, Ghent, Belgium |4 aut | |
| 773 | 0 | |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/2(2015-01-01), 323-343 |x 1380-7501 |q 74:2<323 |1 2015 |2 74 |o 11042 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s11042-014-1978-2 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s11042-014-1978-2 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Barkowsky |D Marcus |u LUNAM Université, Université de Nantes, IRCCyN UMR CNRS 6597, Rue Christian Pauc, 44306, Nantes, France |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Sedano |D Iñigo |u TECNALIA, ICT - European Software Institute, Parque Tecnológico de Bizkaia, Edificio 202, 48170, Zamudio, Spain |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Brunnström |D Kjell |u Department of Netlab, Acreo Swedish ICT AB (and Mid Sweden University), Stockholm, Sweden |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Leszczuk |D Mikołaj |u AGH University of Science and Technology, al. Mickiewicza 30, 30059, Kraków, Poland |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Staelens |D Nicolas |u Department of Information Technology, Ghent University - iMinds, Ghent, Belgium |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/2(2015-01-01), 323-343 |x 1380-7501 |q 74:2<323 |1 2015 |2 74 |o 11042 | ||