压缩问题的新背景和解决方法:文献综述

IF 0.6 Q3 Engineering
M. Jha, Sumantra Dutta Roy, B. Lall
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引用次数: 0

摘要

新一代多媒体应用,如超高清电视、3D视频和云存储,使压缩研究与最先进的标准HEVC(高效视频编码)编解码器的出现息息相关。对人类视觉系统的持续研究表明,对于各种视频和图形应用,减少带宽要求的感知上可接受的重建可能比稍微精确的重建更可接受和商业上可行的解决方案。实现比HEVC等高级编解码器所能达到的更高的压缩的一种方法是以低于奈奎斯特率的速率对输入数据进行采样,利用先进的信号处理和计算机视觉工具利用内容中的稀疏性和感知冗余,并使用时空模型表示它。本文详尽地回顾了视频压缩方法的新背景以及它们的局限性和开放性问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New context of compression problem and approach to solution: a survey of the literature
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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CiteScore
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