Implementation of the Highly Secured H.264/AVC Bit-Streams Using Correlated Motion (Cm) Estimation for High Video Quality of Service (Qos)

Quality of Service (QoS) is the important criteria in the video processing in H.264/AVC Bit-streams. In this paper, the encryption based bit streams transmitted to improve the security of the bit streams. So the proposed system mainly considered reduction of the de-blocking filter effect in the Mean Square Estimation (MSE). The Correlation Motion (CM) based MSE estimation method derives elaborate distribution models for the transform coefficients in H.264/AVC bit-streams. The MSE between the input and decrypted frames split into two terms. They are quantization error and deblocking effect in H.264/AVC. The quantization parameters and the deblocking effect in MPEG-2 I-frames are estimated with an overall accuracy of 99.9 % and the MSE is estimated with an overall average error of 0.3 dB. The MATLAB simulation results confirms the effectiveness of proposed method over the existing PSNR estimation. Keywords— Correlation Motion (CM), Deblocking, Discrete Cosine Transform (DCT), Mean Square Estimation (MSE), Motion Estimation, Peak Signal to Noise Ratio (PSNR), Quality of Service (QoS).