Identification of Sparse Audio Tampering Using Distributed Source Coding and Compressive Sensing Techniques.

EURASIP J. Image and Video Processing 01/2009; 2009.
Source: DBLP
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    ABSTRACT: This paper surveys recent trends and perspectives in distributed video coding. More specifically, the status and potential benefits of distributed video coding in terms of coding efficiency, complexity, error resilience, and scalability are reviewed. Multiview video and applications beyond coding are also considered. In addition, recent contributions in these areas, more thoroughly explored in the papers of the present special issue, are also described.
    EURASIP Journal on Image and Video Processing 01/2009; · 0.66 Impact Factor
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    ABSTRACT: We present a novel approach using distributed source coding for image authentication. The key idea is to provide a Slepian-Wolf encoded quantized image projection as authentication data. This version can be correctly decoded with the help of an authentic image as side information. Distributed source coding provides the desired robustness against legitimate variations while detecting illegitimate modification. The decoder incorporating expectation maximization algorithms can authenticate images which have undergone contrast, brightness, and affine warping adjustments. Our authentication system also offers tampering localization by using the sum-product algorithm.
    IEEE Transactions on Image Processing 02/2012; · 3.11 Impact Factor

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