A Similarity Alignment Model for Video Copy Segment Matching
Zhenhua Liu Feipeng Ma Tianyi Wang Fengyun Rao
With the development of multimedia technology, Video Copy Detection has been
a crucial problem for social media platforms. Meta AI hold Video Similarity
Challenge on CVPR 2023 to push the technology forward. In this report, we share
our winner solutions on Matching Track. We propose a Similarity Alignment
Model(SAM) for video copy segment matching. Our SAM exhibits superior
performance compared to other competitors, with a 0.108 / 0.144 absolute
improvement over the second-place competitor in Phase 1 / Phase 2. Code is
available at
https://github.com/FeipengMa6/VSC22-Submission/tree/main/VSC22-Matching-Track-1st.