@inproceedings{
steinert2024,
title={256 Metaverse Recording Dataset},
author={Patrick Steinert and Stefan Wagenpfeil and Ingo Frommholz and Matthias Hemmje},
booktitle={ACM Multimedia 2024},
year={2024},
url={https://openreview.net/forum?id=dnCmL6ntNJ}
}
The metaverse is an evolving field and the subject of multimedia research. In this paper, we introduce the 256-MetaverseRecords dataset, a novel and extensive collection of annotated screen recordings in the form of videos from various virtual worlds of the metaverse. We describe the process of creating the dataset, the quality criteria for the annotations, and the exploration of the dataset. We also show four experiments to evaluate the performance of different feature extraction methods for Metaverse Recordings (MVRs): MVR segmentation, audio event detection, and object and interaction detection based on this dataset. Our results demonstrate that existing methods have limitations and leave challenges in dealing with the diversity and complexity of metaverse data, and that more research is needed to develop metaverse-specific techniques. Our dataset can serve as a valuable resource for the research community and foster the development of new applications and solutions for the metaverse.
256 Metaverse Recording Dataset
Patrick Steinert Stefan Wagenpfeil Ingo Frommholz Matthias Hemmje