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There is shortage of novel methodologies in obtaining a better quality compressed video. Diverse exploration resulted in Group of pictures aiming at Intra, Bi-directional &amp; Predicted frame identification for performing compression. The conventional GoP practices fixed frame pattern irrespective of the movement by the camera. This paper deals with the choice of adaptive frame identification by incorporating fixed and empirical values. The fixed values are chosen based on the various motion types. NSEW affine translation is incorporated to substitute B frames obtained from fixed and empirical threshold values with I or P frame. Motion Estimation &amp; warping using affine are preferred for compression and decompression to obtain the compressed data and the warped. Four metrics explicitly have been analyzed to demonstrate the superiority of the suggested procedure.

A Novel Adaptive Frame Determination Methodology with Fixed and Adaptive Thresholds Using Affine Motion Parameter for Video Quality Enhancement