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Computer Science > Computer Vision and Pattern Recognition

arXiv:2207.02687 (cs)
[Submitted on 6 Jul 2022]

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

Authors:Minghang Zheng, Dejie Yang, Zhongjie Ye, Ting Lei, Yuxin Peng, Yang Liu
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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.
Comments: 2st Place in PIC Makeup Temporal Video Grounding (MTVG) Challenge in ACM-MM 2022
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2207.02687 [cs.CV]
  (or arXiv:2207.02687v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2207.02687

Submission history

From: Minghang Zheng [view email]
[v1] Wed, 6 Jul 2022 13:50:34 UTC (914 KB)
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