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ACM Multimedia 2025Datasets

VIDEA-8K-60FPS Dataset: 8K 60FPS Video Sequences for Analysis and Development

Tariq Al Shoura, Ali Mollaahmadi Dehaghi, Reza Razavi, Mohammad Moshirpour

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1145/3746027.3758278 ↗

摘要

Despite growing interest in Ultra-High-Definition (UHD) content, research and development on 8K videos remains constrained by the scarcity and limited quantity of publicly available footage, the lack of accessible, high-quality datasets, and the substantial computational cost of processing such data. To address this gap, we present the VIdeo Dataset for Exploration and Analysis (VIDEA-8K-60FPS), an open 8K 60FPS HDR video dataset comprising 190 video sequences (120x10s, 40x30s, 30x60s) containing more than an hour of unique footage and covering a diverse range of use cases in terms of motion, lighting, colors, and camera stability. Each clip was minimally processed and encoded with lossless-tuned HEVC, achieving approximately 70% file size reduction while preserving visual integrity, allowing the dataset to be more accessible. The dataset is designed to be diverse to support various video research fields. By making VIDEA-8K-60FPS publicly available, we aim to lower the barrier to 8K video research and facilitate the development of more efficient and scalable video processing methods. GitHub: https://github.com/talshoura/VIDEA-8K-60FPS-Dataset