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        <identifier>oai:meral.edu.mm:recid/4260</identifier>
        <datestamp>2022-03-24T23:12:18Z</datestamp>
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          <dc:title>Video Steganalysis Based on Transform Domain</dc:title>
          <dc:creator>Htet, Thu Thu</dc:creator>
          <dc:creator>Mya, Khin Than</dc:creator>
          <dc:description>Steganalysis, the method to detectsteganographically embedded hidden messages indigital data, has received an increasing interest inrecent years. Although significant research efforts havebeen devoted to develop steganalysis techniques forstill-images, video steganalysis remains largely anexplored area. This paper proposes a video steganalysismethod to detect the presence of hidden messages.Features are extracted from the histograms of thewavelet subbands and the statistical moment of thewavelet characteristic functions Co-Occurrences,water-filling features. K-Nearest Neighbor (K-NN) isutilized as the classifier.</dc:description>
          <dc:date>2011-05-05</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000004260</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/4260</dc:identifier>
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