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Deep regional feature pooling for video matching

  • Yan Bai
  • , Jie Lin
  • , Vijay Chandrasekhar
  • , Yihang Lou
  • , Shiqi Wang
  • , Ling Yu Duan*
  • , Tiejun Huang
  • , Alex Kot
  • *此作品的通讯作者
  • Peking University
  • Agency for Science, Technology and Research, Singapore
  • Nanyang Technological University
  • City University of Hong Kong

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this work, we study the problem of deep global descriptors for video matching with regional feature pooling. We aim to analyze the joint effect of ROI (Region of Interest) size and pooling moment on video matching performance. To this end, we propose to mathematically model the distribution of video matching function with a pooling function nested in. Matching performance can be estimated by the separability of these class-conditional distributions between matching and non-matching pairs. Empirical studies on the challenging MPEG CDVA dataset demonstrate that performance trends are consistent with the estimation and experimental results, though the theoretical model is largely simplified compared to video matching and retrieval in practice.

源语言英语
主期刊名2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
出版商IEEE Computer Society
380-384
页数5
ISBN(电子版)9781509021758
DOI
出版状态已出版 - 2 7月 2017
已对外发布
活动24th IEEE International Conference on Image Processing, ICIP 2017 - Beijing, 中国
期限: 17 9月 201720 9月 2017

出版系列

姓名Proceedings - International Conference on Image Processing, ICIP
2017-September
ISSN(印刷版)1522-4880

会议

会议24th IEEE International Conference on Image Processing, ICIP 2017
国家/地区中国
Beijing
时期17/09/1720/09/17

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