AVT-VQDB-UHD-2-HDR: An open 8K HDR source dataset for video quality research

More and more screens with ultra high resolution and High Dynamic Range (HDR) are available on the market. Furthermore, video streaming providers like YouTube already offer contents in HDR with resolutions up to 8K (UHD-2) and a further increase in available material is conceivable. Therefore, manufacturers and providers need video quality models to measure their customers’ Quality of Experience. Currently, the most used video quality models only support resolutions of up to 4K (UHD-1). However, a valid estimation of the video quality of contents in 8K resolution is getting more important. In this paper, we present the AVT-VQDB-UHD-2-HDR dataset consisting of 31 8K HDR video sources of 15s that were created with the goal of accurately representing real-life footage, while taking into account video coding and video quality testing challenges. We thoroughly describe the methodological approach of planning, creating, and post-processing the video sources as well as conduct evaluations of detail, dynamic range, and also assess the appropriateness for the contents to be used in video coding research. The videos and objective descriptors are made publicly available for future research under the link https://github.com/Telecommunication-Telemedia-Assessment/AVT-VQDB-UHD-2-HDR.