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    Spatio-temporal rich model-based video steganalysis on cross sections of motion vector planes

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    IEEE Tr Image Processing July ...
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    Authors
    Tasdemir, Kasim cc
    Kurugollu, Fatih
    Sezer, Sakir
    Affiliation
    Queen's University, Belfast
    Issue Date
    2016-05-11
    
    Metadata
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    Abstract
    A rich model-based motion vector (MV) steganalysis benefiting from both temporal and spatial correlations of MVs is proposed in this paper. The proposed steganalysis method has a substantially superior detection accuracy than the previous methods, even the targeted ones. The improvement in detection accuracy lies in several novel approaches introduced in this paper. First, it is shown that there is a strong correlation, not only spatially but also temporally, among neighbouring MVs for longer distances. Therefore, temporal MV dependency alongside the spatial dependency is utilized for rigorous MV steganalysis. Second, unlike the filters previously used, which were heuristically designed against a specific MV steganography, a diverse set of many filters, which can capture aberrations introduced by various MV steganography methods is used. The variety and also the number of the filter kernels are substantially more than that of used in the previous ones. Besides that, filters up to fifth order are employed whereas the previous methods use at most second order filters. As a result of these, the proposed system captures various decorrelations in a wide spatio-temporal range and provides a better cover model. The proposed method is tested against the most prominent MV steganalysis and steganography methods. To the best knowledge of the authors, the experiments section has the most comprehensive tests in MV steganalysis field, including five stego and seven steganalysis methods. Test results show that the proposed method yields around 20% detection accuracy increase in low payloads and 5% in higher payloads.
    Citation
    Tasdemir, K., Kurugollu, F. and Sezer, S., (2016). 'Spatio-temporal rich model-based video steganalysis on cross sections of motion vector planes'. IEEE Transactions on image processing, 25(7), pp.3316-3328. DOI: 10.1109/TIP.2016.2567073.
    Publisher
    IEEE
    Journal
    IEEE Transactions on Image Processing
    URI
    http://hdl.handle.net/10545/623786
    DOI
    10.1109/TIP.2016.2567073
    Additional Links
    http://ieeexplore.ieee.org/document/7468453/
    Type
    Article
    Language
    en
    ISSN
    10577149
    EISSN
    19410042
    ae974a485f413a2113503eed53cd6c53
    10.1109/TIP.2016.2567073
    Scopus Count
    Collections
    Department of Electronics, Computing & Maths

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