Spatio-Temporal Rich Model For Motion Vector Steganalysis

Kasim Tasdemir, Fatih Kurugollu, Sakir Sezer

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

3 Citations (Scopus)

Abstract

We propose a spatio-temporal rich model of motion vector planes as a part of a full steganalytic system against motion vector based steganography. Superior detection accuracy of the rich model over the previous methods has been lately demonstrated for digital images in both spatial and DCT domain. It has not been heretofore used for detection of motion vector steganography. We also introduced a transformation so as to extend the feature set with temporal residuals. We carried out the tests along with most recent motion vector steganalysis and steganography methods. Test results show that the proposed model delivers an outstanding performance compared to the previous methods.
Original languageEnglish
Title of host publication 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Proceedings
Place of Publication978-1-4673-6997-8
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1717 - 1721
Number of pages5
DOIs
Publication statusPublished - Apr 2015
Event2015 International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Brisbane, Australia
Duration: 19 Apr 201524 Dec 2015

Conference

Conference2015 International Conference on Acoustics, Speech and Signal Processing (ICASSP)
CountryAustralia
CityBrisbane
Period19/04/201524/12/2015

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  • Cite this

    Tasdemir, K., Kurugollu, F., & Sezer, S. (2015). Spatio-Temporal Rich Model For Motion Vector Steganalysis. In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Proceedings (pp. 1717 - 1721). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICASSP.2015.7178264