Technical Report for Soccernet 2023 -- Dense Video Captioning

Zheng Ruan, Ruixuan Liu, Shimin Chen, Mengying Zhou, Xinquan Yang +3 more
10/31/2024
cs.CV

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Abstract

In the task of dense video captioning of Soccernet dataset, we propose to generate a video caption of each soccer action and locate the timestamp of the caption. Firstly, we apply Blip as our video caption framework to generate video captions. Then we locate the timestamp by using (1) multi-size sliding windows (2) temporal proposal generation and (3) proposal classification.

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Cite this paper

@article{ruan2024technical,
  title  = {Technical Report for Soccernet 2023 -- Dense Video Captioning},
  author = {Zheng Ruan and Ruixuan Liu and Shimin Chen and Mengying Zhou and Xinquan Yang and Wei Li and Chen Chen and Wei Shen},
  year   = {2024},
  eprint = {2411.00882},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2411.00882v1}
}

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