RT Journal Article T1 Hybrid video quality prediction: reviewing video quality measurement for widening application scope: reviewing video quality measurement for widening application scope A1 Barkowsky, Marcus A1 Sedano, Inigo A1 Brunnstrom, Kjell A1 Leszczuk, Mikolaj A1 Staelens, Nicolas A1 Leszczuk, Mikołaj AB 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. YR 2015 FD 2015-01 LA eng NO Barkowsky , M , Sedano , I , Brunnstrom , K , Leszczuk , M , Staelens , N & Leszczuk , M 2015 , ' Hybrid video quality prediction: reviewing video quality measurement for widening application scope : reviewing video quality measurement for widening application scope ' , unknown , vol. unknown , no. 2 , pp. 323-343 . https://doi.org/10.1007/s11042-014-1978-2 NO Publisher Copyright: © 2014, The Author(s). DS TECNALIA Publications RD 29 sept 2024