This paper presents our 3rd place solution in both Descriptor Track and Matching Track of the Meta AI Video Similarity Challenge (VSC2022), a competition aimed at detecting video copies. Our approach builds upon existing image copy detection techniques and incorporates several strategies to exploit on the properties of video data, resulting in a simple yet powerful solution. By employing our proposed method, we achieved substantial improvements in accuracy compared to the baseline results (Descriptor Track: 38% improvement, Matching Track: 60% improvement). Our code is publicly available here: https://github.com/line/Meta-AI-Video-Similarity-Challenge-3rd-Place-Solution

翻译：本文介绍了我们在Meta AI视频相似度挑战赛(VSC2022)描述符赛道和匹配赛道中获得的第三名解决方案。该竞赛旨在检测视频副本。我们的方法基于现有图像副本检测技术，并结合多种策略以利用视频数据的特性，构建了一个简单而强大的解决方案。通过采用我们提出的方法，与基线结果相比，准确率得到了显著提升（描述符赛道提升38%，匹配赛道提升60%）。我们的代码已公开发布在：https://github.com/line/Meta-AI-Video-Similarity-Challenge-3rd-Place-Solution