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Video copy detection based on speeded up robust features and Locality Sensitive Hashing

  • Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

19 Scopus citations

Abstract

In this paper, a new method for content-based video copy detection is presented. This method includes fingerprint extracting and matching phases. In the fingerprint extracting phase, a video is represented by a set of Speeded Up Robust Features (SURF), which outperforms other local features. In the fingerprint matching phase, the Locality Sensitive Hashing (LSH) is applied to efficiently detect video copy. The experimental results show that the proposed method has excellent performance in accuracy and speed.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Automation and Logistics, ICAL 2010
Pages13-18
Number of pages6
DOIs
StatePublished - 2010
Event2010 IEEE International Conference on Automation and Logistics, ICAL 2010 - Shatin, Hong Kong
Duration: 16 Aug 201020 Aug 2010

Publication series

Name2010 IEEE International Conference on Automation and Logistics, ICAL 2010

Conference

Conference2010 IEEE International Conference on Automation and Logistics, ICAL 2010
Country/TerritoryHong Kong
CityShatin
Period16/08/1020/08/10

Keywords

  • LSH
  • SURF
  • Video copy detection

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