Content Based Copy Detection with Coarse Audio-Visual Fingerprints

  • Ahmet Saracoglu
  • , Ersin Esen
  • , Tugrul K. Ates
  • , Banu Oskay Acar
  • , Uenal Zubari
  • , Ezgi C. Ozan
  • , Egemen Ozalp
  • , A. Aydin Alatan
  • , Tolga Ciloglu

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

43 Citations (Scopus)

Abstract

Content Based Copy Detection (CBCD) emerges as a viable choice against active detection methodology of watermarking. The very first reason is that the media already under circulation cannot be marked and secondly, CBCD inherently can endure various severe attacks, which watermarking cannot. Although in general, media content is handled independently as visual and audio in this work both information sources are utilized in a unified framework, in which coarse representation of fundamental features are employed. From the copy detection perspective, number of attacks on audio content is limited with respect to visual case. Therefore audio, if present, is an indispensable part of a robust video copy detection system. In this study, the validity of this statement is presented through various experiments on a large data set.

Original languageEnglish
Title of host publicationCBMI: 2009 International Workshop on Content-based Multimedia Indexing
Place of PublicationNEW YORK
PublisherIEEE
Pages213-218
Number of pages6
ISBN (Print)978-1-4244-4265-2
DOIs
Publication statusPublished - 2009
Externally publishedYes
Publication typeA4 Article in conference proceedings
EventInternational Workshop on Content-Based Multimedia Indexing - Chania, Greece
Duration: 3 Jun 20095 Jun 2009

Conference

ConferenceInternational Workshop on Content-Based Multimedia Indexing
Country/TerritoryGreece
Period3/06/095/06/09

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