English

Team PKU-WICT-MIPL PIC Makeup Temporal Video Grounding Challenge 2022 Technical Report

Computer Vision and Pattern Recognition 2022-07-07 v1

Abstract

In this technical report, we briefly introduce the solutions of our team `PKU-WICT-MIPL' for the PIC Makeup Temporal Video Grounding (MTVG) Challenge in ACM-MM 2022. Given an untrimmed makeup video and a step query, the MTVG aims to localize a temporal moment of the target makeup step in the video. To tackle this task, we propose a phrase relationship mining framework to exploit the temporal localization relationship relevant to the fine-grained phrase and the whole sentence. Besides, we propose to constrain the localization results of different step sentence queries to not overlap with each other through a dynamic programming algorithm. The experimental results demonstrate the effectiveness of our method. Our final submission ranked 2nd on the leaderboard, with only a 0.55\% gap from the first.

Keywords

Cite

@article{arxiv.2207.02687,
  title  = {Team PKU-WICT-MIPL PIC Makeup Temporal Video Grounding Challenge 2022 Technical Report},
  author = {Minghang Zheng and Dejie Yang and Zhongjie Ye and Ting Lei and Yuxin Peng and Yang Liu},
  journal= {arXiv preprint arXiv:2207.02687},
  year   = {2022}
}

Comments

2st Place in PIC Makeup Temporal Video Grounding (MTVG) Challenge in ACM-MM 2022