Detecting Doubly Compressed H.264/avc Videos Using Markov Statistics Scheme

نویسندگان

  • A. Kowsalya
  • M. Anto Bennet
چکیده

MPEG-4 is a method of defining compression of audio and video digital data. MPEG-4 videos double compression method is used to decompress video from spatial domain to the frequency domain and then resaved with a different quantization matrix. Markov feature is a second order statistics which was adopted to detect double compression artifacts in the original video. In proposed system, double compression artifacts in H.264/AVC was detected by Markov statistics and by comparing two videos the ratios such as peak signaltonoise ratio (PSNR), mean squared error (MSE) and structural similarity index (SSIM) are calculated.

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تاریخ انتشار 2014