Technical Report for Soccernet 2023 -- Dense Video Captioning
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909375749160960 |
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| author | Ruan, Zheng Liu, Ruixuan Chen, Shimin Zhou, Mengying Yang, Xinquan Li, Wei Chen, Chen Shen, Wei |
| author_facet | Ruan, Zheng Liu, Ruixuan Chen, Shimin Zhou, Mengying Yang, Xinquan Li, Wei Chen, Chen Shen, Wei |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_00882 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Technical Report for Soccernet 2023 -- Dense Video Captioning Ruan, Zheng Liu, Ruixuan Chen, Shimin Zhou, Mengying Yang, Xinquan Li, Wei Chen, Chen Shen, Wei Computer Vision and Pattern Recognition 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. |
| title | Technical Report for Soccernet 2023 -- Dense Video Captioning |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2411.00882 |