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DWT-based robust video fingerprinting

  • Telecom Sudparis
  • Université Paris Descartes
  • Mines ParisTech

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

Abstract

Video fingerprints are short features extracted from a video sequence in order to uniquely identify that visual content and its replicas. The present paper introduces a new DWT-based robust video fingerprinting method. In this respect, a characteristic set of wavelet coefficients is used as fingerprint. Due to the inner DWT properties with respect to content preserving attacks (such as linear filtering, sharpening, geometric, conversion to grayscale, small rotations, contrast changes), good results in terms of probability of missed detection and probability of false alarm are obtained. The video corpus consists of 3 hours of heterogeneous original content and of its attacked versions (a total of 21 hours of video content).

Original languageEnglish
Title of host publication3rd European Workshop on Visual Information Processing, EUVIP 2011 - Final Program
Pages216-221
Number of pages6
DOIs
Publication statusPublished - 11 Nov 2011
Event3rd European Workshop on Visual Information Processing, EUVIP 2011 - Paris, France
Duration: 4 Jul 20116 Jul 2011

Publication series

Name3rd European Workshop on Visual Information Processing, EUVIP 2011 - Final Program

Conference

Conference3rd European Workshop on Visual Information Processing, EUVIP 2011
Country/TerritoryFrance
CityParis
Period4/07/116/07/11

Keywords

  • DWT
  • robust video fingerprinting
  • robustness
  • uniqueness

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