LOGO: A Long-Form Video Dataset for Group Action Quality Assessment

arXiv:2404.05029v1 Announce Type: new
Abstract: Action quality assessment (AQA) has become an emerging topic since it can be extensively applied in numerous scenarios. However, most existing methods and datasets focus on single-person short-sequence scenes, hindering the application of AQA in more complex situations. To address this issue, we construct a new multi-person long-form video dataset for action quality assessment named LOGO. Distinguished in scenario complexity, our dataset contains 200 videos from 26 artistic swimming events with 8 athletes in each …

arxiv assessment cs.cv dataset form logo quality type video