Testing 4K HDR-WCG Professional Video Content for Subjective Quality Using a Remote Testing Approac

Modern content is rapidly shifting from the standard dynamic range (SDR) color volume towards the high dynamic range and wide color gamut (HDR-WCG) color volume. It is thus crucial to have high-performance video quality metrics. However, existing subjective databases do not provide adequate test coverage for professional HDR-WCG video content. We describe a subjective video quality study aimed to be relevant for existing and near future HDR-WCG. Due to the COVID-19 pandemic, the experiment was designed for remote testing rather than a typical laboratory environment. We carefully analyzed the subjective results and concluded that obtaining comparable data reliability in our remote testing environment with a controlled laboratory environment is possible. This opens the door for large-scale video quality testing. We applied the subjective data set to compare image and video quality metrics such as video multi-method assessment fusion (VMAF), high dynamic range-visual difference predictor (HDR-VDP), and high dynamic range-visual quality measure (HDR-VQM). We identified several ways to improve the accuracy of VMAF on HDR-WCG content.

Authors

Publication Details

Journal
SMPTE Motion Imaging Journal
Published
2024-09-02
DOI
https://doi.org/10.5594/jmi.2024/wawa6631
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Testing 4K HDR-WCG Professional Video Content for Subjective Quality Using a Remote Testing Approac

Ludovic Malfait, Lukáš Krasula, Anustup Choudhury, Scott Daly et al.
SMPTE Motion Imaging Journal
Industrial Vision Systems and Defect Detection
article

Testing 4K HDR-WCG Professional Video Content for Subjective Quality Using a Remote Testing Approac

Ludovic Malfait, Lukáš Krasula, Anustup Choudhury, Scott Daly, Robin Atkins, Zhi Li
article en

Abstract

Modern content is rapidly shifting from the standard dynamic range (SDR) color volume towards the high dynamic range and wide color gamut (HDR-WCG) color volume. It is thus crucial to have high-performance video quality metrics. However, existing subjective databases do not provide adequate test coverage for professional HDR-WCG video content. We describe a subjective video quality study aimed to be relevant for existing and near future HDR-WCG. Due to the COVID-19 pandemic, the experiment was designed for remote testing rather than a typical laboratory environment. We carefully analyzed the subjective results and concluded that obtaining comparable data reliability in our remote testing environment with a controlled laboratory environment is possible. This opens the door for large-scale video quality testing. We applied the subjective data set to compare image and video quality metrics such as video multi-method assessment fusion (VMAF), high dynamic range-visual difference predictor (HDR-VDP), and high dynamic range-visual quality measure (HDR-VQM). We identified several ways to improve the accuracy of VMAF on HDR-WCG content.

SMPTE Motion Imaging JournalVol. 133(5)
Openalex Percentile: Top 61%
Industrial Vision Systems and Defect Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.