caa a22 4500 605446822 CHVBK 20210128100129.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s11042-014-1978-2 doi (NATIONALLICENCE)springer-10.1007/s11042-014-1978-2 Hybrid video quality prediction: reviewing video quality measurement for widening application scope [Elektronische Daten] [Marcus Barkowsky, Iñigo Sedano, Kjell Brunnström, Mikołaj Leszczuk, Nicolas Staelens] 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. The Author(s), 2014 Video quality assessment nationallicence Human visual system nationallicence Hybrid model development nationallicence Perceptual indicators nationallicence Quality of Experience nationallicence Barkowsky Marcus LUNAM Université, Université de Nantes, IRCCyN UMR CNRS 6597, Rue Christian Pauc, 44306, Nantes, France aut Sedano Iñigo TECNALIA, ICT - European Software Institute, Parque Tecnológico de Bizkaia, Edificio 202, 48170, Zamudio, Spain aut Brunnström Kjell Department of Netlab, Acreo Swedish ICT AB (and Mid Sweden University), Stockholm, Sweden aut Leszczuk Mikołaj AGH University of Science and Technology, al. Mickiewicza 30, 30059, Kraków, Poland aut Staelens Nicolas Department of Information Technology, Ghent University - iMinds, Ghent, Belgium aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/2(2015-01-01), 323-343 1380-7501 74:2<323 2015 74 11042 https://doi.org/10.1007/s11042-014-1978-2 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-014-1978-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Barkowsky Marcus LUNAM Université, Université de Nantes, IRCCyN UMR CNRS 6597, Rue Christian Pauc, 44306, Nantes, France aut NATIONALLICENCE 700 1- Sedano Iñigo TECNALIA, ICT - European Software Institute, Parque Tecnológico de Bizkaia, Edificio 202, 48170, Zamudio, Spain aut NATIONALLICENCE 700 1- Brunnström Kjell Department of Netlab, Acreo Swedish ICT AB (and Mid Sweden University), Stockholm, Sweden aut NATIONALLICENCE 700 1- Leszczuk Mikołaj AGH University of Science and Technology, al. Mickiewicza 30, 30059, Kraków, Poland aut NATIONALLICENCE 700 1- Staelens Nicolas Department of Information Technology, Ghent University - iMinds, Ghent, Belgium aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/2(2015-01-01), 323-343 1380-7501 74:2<323 2015 74 11042