A novel blind compressed video stream steganalysis algorithm employing the inter-frame correlation (IFCS) is proposed. The steganalysis process is executed wholly in the compressed domain for the real time requirement. Statistical features of inter-frame correlation, AC coefficients and DC coefficients in DCT domain of compressed video are extracted out as the classifier features using an inter-frame collusion principle. The collusion window is adjusted according to the inter-frame correlation. And one three layers feedforward neural network capable of nonlinear feature mapping is employed as the blind classifier. Experimental results verify the availability of the proposed scheme.


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    Title :

    Inter-frame Correlation Based Compressed Video Steganalysis


    Contributors:
    Liu, Bin (author) / Liu, Fenlin (author) / Wang, Ping (author)


    Publication date :

    2008-05-01


    Size :

    363688 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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