Analyze and predict the perceptibility of UHD video contents. - Steve Göring; Julian Zebelein; Simon Wedel; Dominik Keller; Alexander Raake (HVEI, 2019)

Assessing Texture Dimensions and Video Quality in Motion Pictures using Sensory Evaluation Techniques. - Dominik Keller; Tamara Seybold; Janto Skowronek; Alexander Raake (QoMEX, 2019)

Between the Frames - Evaluation of Various Motion Interpolation Algorithms to Improve 360° Video Quality. - Stephan Fremerey; Frank Hofmeyer; Steve Göring; Dominik Keller; Alexander Raake (ISM, 2020)

Let the Music Play: An Automated Test Setup for Blind Subjective Evaluation of Music Playback on Mobile Devices. - Dominik Keller; Alexander Raake; Markus Vaalgamaa; Erkki Paajanen (QoMEX, 2020)

Groovability: Using Groove as a Novel Measure for Audio QoE with the Example of Smartphones. - Dominik Keller; Markus Vaalgamaa; Erkki Paajanen; Rakesh Rao Ramachandra Rao; Steve Göring; Alexander Raake (QoMEX, 2021)

Assessment of the Simulator Sickness Questionnaire for Omnidirectional Videos. - Ashutosh Singla; Steve Göring; Dominik Keller; Rakesh Rao Ramachandra Rao; Stephan Fremerey; Alexander Raake (VR, 2021)

The Effect of Viewing Distances on 4K and 8K HDR Video Quality Perception. - Dominik Keller; Rakesh Rao Ramachandra Rao; Steve Göring; Alexander Raake (ISM, 2023)

Influence of Viewing Distances on 8K HDR Video Quality Perception. - Dominik Keller; Felix von Hagen; Julius Prenzel; Kay Strama; Rakesh Rao Ramachandra Rao; Alexander Raake (QoMEX, 2023)

Investigating the Impact of High Frame Rate on Video Quality: A SAMVIQ Approach. - Dominik Keller; Paul Rudi Frank; Steve Göring; Alexander Raake (ISM, 2024)

AVT-VQDB-UHD-2-HDR: An open 8K HDR source dataset for video quality research. - Dominik Keller; Thomas Goebel; Valentin Siebenkees; Julius Prenzel; Alexander Raake (QoMEX, 2024)

Assessing Quality Differences for 8K/UHD-2 and 4K/UHD-1 HDR Video Based on Viewing Distance. - Dominik Keller; Rakesh Rao Ramachandra Rao; Alexander Raake (IEEE Access, 2024)

Fine-Grained HDR Image Quality Assessment From Noticeably Distorted to Very High Fidelity. - Mohsen Jenadeleh; Jon Sneyers; Davi Lazzarotto; Shima Mohammadi; Dominik Keller; Atanas Boev; Rakesh Rao Ramachandra Rao; António M. G. Pinheiro; Thomas Richter 005; Alexander Raake; Touradj Ebrahimi; João Ascenso; et al. (CoRR, 2025)