Information-theoretic analysis of content based identification for correlated data

F. Farhadzadeh, S. Voloshynovskiy, O. Koval, F. Beekhof

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

4 Citations (Scopus)


A number of different multimedia fingerprinting algorithms and identification techniques were proposed and analyzed recently. This paper presents a content identification setup for a class of multimedia data that can be modeled by the Gauss-Markov process. We advocate a constrained order statistics decoding scheme based on digital fingerprints extracted from correlated data to identify contents. Finally, we investigate the fundamental limits of the proposed setup by deriving bounds on the miss and false acceptance probabilities.
Original languageEnglish
Title of host publication2011 IEEE Information Theory Workshop (ITW)
Place of PublicationParaty, Brazil
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Print)978-1-4577-0438-3
Publication statusPublished - 2011


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