V3C1 Dataset: An Evaluation of Content Characteristics

@article{Berns2019V3C1DA,
  title={V3C1 Dataset: An Evaluation of Content Characteristics},
  author={Fabian Berns and Luca Rossetto and Klaus Sch{\"o}ffmann and C. Beecks and G. Awad},
  journal={Proceedings of the 2019 on International Conference on Multimedia Retrieval},
  year={2019}
}
In this work we analyze content statistics of the V3C1 dataset, which is the first partition of theVimeo Creative Commons Collection (V3C). The dataset has been designed to represent true web videos in the wild, with good visual quality and diverse content characteristics, and will serve as evaluation basis for the Video Browser Showdown 2019-2021 and TREC Video Retrieval (TRECVID) Ad-Hoc Video Search tasks 2019-2021. The dataset comes with a shot segmentation (around 1 million shots) for which… Expand
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