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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationIntelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014
PublisherIOS Press
Pages1195-1204
Number of pages10
Volume274
ISBN (Electronic)9781614994831
DOIs
Publication statusPublished - 2015
EventInternational Computer Symposium, ICS 2014 - Taichung, Taiwan
Duration: 2014 Dec 122014 Dec 14

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume274
ISSN (Print)0922-6389

Other

OtherInternational Computer Symposium, ICS 2014
CountryTaiwan
CityTaichung
Period14-12-1214-12-14

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

Fingerprint Dive into the research topics of 'A near-duplicate video detection method based on invariant moments and feature point matching'. Together they form a unique fingerprint.

  • Cite this

    Chang, T. Y., Guo, M. Y., Tai, S-C., & Lin, G. S. (2015). A near-duplicate video detection method based on invariant moments and feature point matching. In Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014 (Vol. 274, pp. 1195-1204). (Frontiers in Artificial Intelligence and Applications; Vol. 274). IOS Press. https://doi.org/10.3233/978-1-61499-484-8-1195