Video copy detection based on source device characteristics: A complementary approach to content-based methods

Sevinc Bayram, Husrev Taha Sencar, Nasir Memon

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

Abstract

We introduce a new video copy detection scheme to complement existing content-based techniques. The idea of our scheme is based on the fact that visual media possess unique characteristics that can be used to link a media to its source. Proposed scheme attempts to detect duplicate and modified copies of a video primarily based on peculiarities of imaging sensors rather than content characteristics only. We demonstrate the viability of our scheme by both analyzing its robustness against common video processing operations and evaluating its performance on real world data. Results show that proposed scheme is very effective and suitable for video copy detection application.

Original languageEnglish (US)
Title of host publicationProceedings of the 1st International ACM Conference on Multimedia Information Retrieval, MIR2008, Co-located with the 2008 ACM International Conference on Multimedia, MM'08
Pages435-442
Number of pages8
DOIs
StatePublished - Dec 1 2008
Event1st International ACM Conference on Multimedia Information Retrieval, MIR2008, Co-located with the 2008 ACM International Conference on Multimedia, MM'08 - Vancouver, BC, Canada
Duration: Aug 30 2008Aug 31 2008

Publication series

NameProceedings of the 1st International ACM Conference on Multimedia Information Retrieval, MIR2008, Co-located with the 2008 ACM International Conference on Multimedia, MM'08

Other

Other1st International ACM Conference on Multimedia Information Retrieval, MIR2008, Co-located with the 2008 ACM International Conference on Multimedia, MM'08
CountryCanada
CityVancouver, BC
Period8/30/088/31/08

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Keywords

  • Imaging sensor
  • PRNU noise
  • Video copy detection
  • Video signature

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Software

Cite this

Bayram, S., Sencar, H. T., & Memon, N. (2008). Video copy detection based on source device characteristics: A complementary approach to content-based methods. In Proceedings of the 1st International ACM Conference on Multimedia Information Retrieval, MIR2008, Co-located with the 2008 ACM International Conference on Multimedia, MM'08 (pp. 435-442). (Proceedings of the 1st International ACM Conference on Multimedia Information Retrieval, MIR2008, Co-located with the 2008 ACM International Conference on Multimedia, MM'08). https://doi.org/10.1145/1460096.1460167