New context of compression problem and approach to solution: a survey of the literature Online publication date: Mon, 04-Sep-2017
by Mithilesh Kumar Jha; Sumantra Dutta Roy; Brejesh Lall
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 10, No. 4, 2017
Abstract: The new generation multimedia applications such as ultra-high definition TV, 3D video and cloud storage keeps the compression research relevant even post to the advent of the state-of-art standard HEVC (High Efficiency Video Coding) codec. The continued studies on human visual system suggest that a perceptually acceptable reconstruction with reduced bandwidth requirements may be more acceptable and commercially viable solution rather than a bit accurate reconstruction for a variety of video and graphics applications. One way to achieve compression beyond that achieved by the advanced codec like HEVC is to sample the input data at a lower rate than the Nyquist rate, exploit the sparsity and perceptual redundancy in the content using advanced signal processing and computer vision tools and represents it using a spatio-temporal model. This paper contains an exhaustive review of the new context of video compression methods along with their limitations and open issues.
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