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Sports-QA: A Large-Scale Video Question Answering Benchmark for Complex and Professional Sports
Feb. 16, 2024, 5:47 a.m. | Haopeng Li, Andong Deng, Qiuhong Ke, Jun Liu, Hossein Rahmani, Yulan Guo, Bernt Schiele, Chen Chen
cs.CV updates on arXiv.org arxiv.org
Abstract: Reasoning over sports videos for question answering is an important task with numerous applications, such as player training and information retrieval. However, this task has not been explored due to the lack of relevant datasets and the challenging nature it presents. Most datasets for video question answering (VideoQA) focus mainly on general and coarse-grained understanding of daily-life videos, which is not applicable to sports scenarios requiring professional action understanding and fine-grained motion analysis. In this …
abstract applications arxiv benchmark cs.cv datasets information nature professional question question answering reasoning retrieval scale sports training type video videos
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