A near-duplicate video detection method based on invariant moments and feature point matching

Tang You Chang, Min Yuan Guo, Shen-Chuan Tai, Guo Shiang Lin

研究成果: Conference contribution

摘要

In this paper, a two-level near-duplicate video detection method based on invariant moment was proposed. To reduce the computational complexity of near-duplicate video detection, a coarse-to-fine approach was adopted in the proposed method. The proposed method is composed of key-frame selection, invariant moment calculation, feature point extraction and matching, similarity measurement, and near-duplicate classifier. After key-frame selection, the proposed method coarsely finds the corresponding frame pairs based on invariant moments. For each chosen frame pair, SURF is used to find the corresponding point pairs between the query frame and the test one. After feature-level, spatial-level, and temporal-level similarity measurement, we can decide whether the query video clip and the test one are near-duplicate. The experimental results show that the proposed method can effectively detect near-duplicate videos. In addition, the proposed method has good performance against possible operations, re-scaling, and frame-rate change.

原文English
主出版物標題Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014
發行者IOS Press
頁面1195-1204
頁數10
274
ISBN(電子)9781614994831
DOIs
出版狀態Published - 2015
事件International Computer Symposium, ICS 2014 - Taichung, Taiwan
持續時間: 2014 十二月 122014 十二月 14

出版系列

名字Frontiers in Artificial Intelligence and Applications
274
ISSN(列印)0922-6389

Other

OtherInternational Computer Symposium, ICS 2014
國家Taiwan
城市Taichung
期間14-12-1214-12-14

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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