Performance enhanced spatial video compression using global affine frame reconstruction

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• 作者：D. Raveena Judie Dolly^a ; ^{dollydinesh@karunya.edu}Author Vitae ; G. Josemin Bala^a ; ^{josemin@karunya.edu}Author Vitae ; J. Dinesh Peter ; ^b ; ^{dineshpeter@karunya.edu}Author Vitae
• 关键词：Video compression ; Group of pictures (GoP) ; Adaptive frame determination ; Affine motion parameters ; Optimization ; Affine warping
• 刊名：Journal of Computational Science
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：18
• 期：Complete
• 页码：1-11
• 全文大小：1718 K
• 卷排序：18

文摘

An adaptive framework of determining frames based on a matching criteria rather than utilizing fixed GoP pattern. NSEW (North-South-East-West) affine translation (NAT) is proposed for replacement of B with either I or P frame. The framework involves VCAME (Video Compression using Affine Motion Estimation) & VDAW (Video Decompression using Affine Warping) methodologies for compressing and decompressing a video sequence, based on the resulted I & P frames. The methodology was investigated over four vital parameters, the file size, computational time, PSNR (Peak Signal to Noise ratio) & SSIM (Structural Similarity Index), which proved the superiority of the proposed technique. Further, the methodology was also investigated with optimizing the affine motion parameters (AMP) using nonlinear least squares, BFGS (Broyden–Fletcher–Goldfarb–Shanno) and Limited-memory BFGS which yet again proved to be far more superior than conventional techniques yielding an average PSNR gain of 2.52 dB.