YouTube SFV+HDR Quality Dataset
<|reference_start|>YouTube SFV+HDR Quality Dataset: The popularity of Short form videos (SFV) has grown dramatically in the past few years, and has become a phenomenal video category with billions of viewers. Meanwhile, High Dynamic Range (HDR) as an advanced feature also becomes more and more popular on video sharing platforms. As a hot topic with huge impact, SFV and HDR bring new questions to video quality research: 1) is SFV+HDR quality assessment significantly different from traditional User Generated Content (UGC) quality assessment? 2) do objective quality metrics designed for traditional UGC still work well for SFV+HDR? To answer the above questions, we created the first large scale SFV+HDR dataset with reliable subjective quality scores, covering 10 popular content categories. Further, we also introduce a general sampling framework to maximize the representativeness of the dataset. We provided a comprehensive analysis of subjective quality scores for Short form SDR and HDR videos, and discuss the reliability of state-of-the-art UGC quality metrics and potential improvements.<|reference_end|>
@article{wang2024youtube,
    title={YouTube SFV+HDR Quality Dataset},
    author={Yilin Wang, Joong Gon Yim, Neil Birkbeck, Balu Adsumilli},
    journal={arXiv preprint arXiv:2406.05305},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.05305},
    primaryClass={cs.CV cs.MM eess.IV}
}