Paper Info
Title
Performance enhanced spatial video compression using global affine frame reconstruction.
Abstract
•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 2.52dB.
Year
DOI
Venue
2017
10.1016/j.jocs.2016.11.003
Journal of Computational Science
Keywords
Field
DocType
Video compression,Group of pictures (GoP),Adaptive frame determination,Affine motion parameters,Optimization,Affine warping
Affine transformation,Reference frame,Computer vision,Affine shape adaptation,Block-matching algorithm,Computer science,Group of pictures,Motion compensation,Artificial intelligence,Inter frame,Video compression picture types
Journal
Volume
ISSN
Citations 
18
1877-7503
1
PageRank 
References 
Authors
0.35
17
3
Name
Order
Citations
PageRank
D. Raveena Judie Dolly122.05
G. Josemin Bala2518.42
J. Dinesh Peter3318.13