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
@article{arxiv.2304.11964,
title = {3rd Place Solution to Meta AI Video Similarity Challenge},
author = {Shuhei Yokoo and Peifei Zhu and Junki Ishikawa and Rintaro Hasegawa},
journal= {arXiv preprint arXiv:2304.11964},
year = {2023}
}