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The video resolutions used in a variety of media are constantly rising. While manufacturers struggle to perfect their screens, it is also important to ensure the high quality of the displayed image. Overall quality can be measured using a Mean Opinion Score (MOS). Video quality can be affected by miscellaneous artifacts appearing at every stage of video creation and transmission. In this paper, we present a solution to calculate four distinct video quality metrics that can be applied to a real-time video quality assessment system. Our assessment module is capable of processing 8K resolution in real time set at a level of 30 frames per second. The throughput of 2.19 GB/s surpasses the performance of pure software solutions. The module was created using a high-level language to concentrate on architectural optimization.
Słowa kluczowe
Wydawca
Czasopismo
Rocznik
Tom
Strony
279--305
Opis fizyczny
Bibliogr. 51 poz., rys., tab.
Twórcy
autor
- AGH University of Science and Technology, Academic Computer Center CYFRONET, Krakow, Poland
autor
- AGH University of Science and Technology, Academic Computer Center CYFRONET, Krakow, Poland
autor
- AGH University of Science and Technology, Academic Computer Center CYFRONET, Krakow, Poland
autor
- AGH University of Science and Technology, Academic Computer Center CYFRONET, Krakow, Poland
Bibliografia
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- [36] de Oliveira M., da Silva W., Fonseca K.V.O., Pohl A.D.A.P.: VHDL implementation of a No-Reference video quality metric using the Levenberg-Marquardt method. In: International Symposium on Broadband Multimedia Systems and Broadcasting, pp. 1–5, 2014. http://dx.doi.org/10.1109/BMSB.2014.6873474.
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- [40] Rohaly A.M., Corriveau P., Libert J., Webster A., Baroncini V., Beerends J., Blin J.L.: Video Quality Experts Group: Current Results and Future Directions, 2000.
- [41] Romaniak P.: Assessment of perceptual video quality affected by acquisition and bit-rate reduction artifacts, Ph.D. thesis, 2011.
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- [44] Takahashi A., Schmidmer C., Lee C., Speranza F., Okamoto J., Brunnström K., Janowski L., Barkowsky M., Pinson M., Staelens Nicolas Huynh Thu Q., Green R., Bitto R., Renaud R., Borer S., Kawano T., Baroncini V., Dhondt Y.: Report on the Validation of Video Quality Models for High Definition Video Content, Tech. rep., Video Quality Experts Group, 2010.
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Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5ae1ca8a-f965-4c6a-8904-e3da7393187d