Szczegóły publikacji

Opis bibliograficzny

Autorzy (4)

• AGHNawała Jakub
• Pinson Margaret H.
• AGHLeszczuk Mikołaj
• AGHJanowski Lucjan

Słowa kluczowe

Dane bibliometryczne

ID BaDAP	127774
Data dodania do BaDAP	2020-02-27
Tekst źródłowy	URL
DOI	10.3390/jimaging6030007
Rok publikacji	2020
Typ publikacji	artykuł w czasopiśmie
Otwarty dostęp
Creative Commons
Czasopismo/seria	Journal of Imaging

Abstract

We need data sets of images and subjective scores to develop robust no reference (or blind) visual quality metrics for consumer applications. These applications have many uncontrolled variables because the camera creates the original media and the impairment simultaneously. We do not fully understand how this impacts the integrity of our subjective data. We put forward two new data sets of images from consumer cameras. The first data set, CCRIQ2, uses a strict experiment design, more suitable for camera performance evaluation. The second data set, VIME1, uses a loose experiment design that resembles the behavior of consumer photographers. We gather subjective scores through a subjective experiment with 24 participants using the Absolute Category Rating method. We make these two new data sets available royalty-free on the Consumer Digital Video Library. We also present their integrity analysis (proposing one new approach) and explore the possibility of combining CCRIQ2 with its legacy counterpart. We conclude that the loose experiment design yields unreliable data, despite adhering to international recommendations. This suggests that the classical subjective study design may not be suitable for studies using consumer content. Finally, we show that Hoßfeld–Schatz–Egger α failed to detect important differences between the two data sets.

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