DETECTING DOUBLY COMPRESSED H.264/AVC VIDEOS USING MARKOV STATISTICS SCHEME

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 signal- to- noise ratio (PSNR), mean squared error (MSE) and structural similarity index (SSIM) are calculated.