Simplified video coding for digital mobile devices

Jin Li, M. Gabbouj, J. Takala, Hexin Chen
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引用次数: 8

Abstract

Most mobile devices are currently suffering from the lack of computational power and energy-consumption constraints, there is significant interest and research in reducing the computational complexity for fast video coding. This paper proposes a statistical model to predict the zero-quantized DCT (ZQDCT) coefficients for 3-D DCT video coding and thus to speech up the encoding process. First, each 8times8times8 pixel cube at the input of DCT is decomposed into a mean value and a residual 8times8times8 pixel cube. Subsequently, a statistical Laplacian model is mathematically developed to predict the ZQDCT coefficients. Finally, the redundant calculations for these ZQDCT coefficients are skipped. Compared to the baseline encoding method, the proposed model can significantly simplify the complexity and achieve better real-time performance at the expense of negligible visual degradation. Computational reduction also implies longer battery lifetime and energy economy for portable devices.
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简化数字移动设备的视频编码
大多数移动设备目前都受到计算能力不足和能耗限制的困扰,因此人们对降低快速视频编码的计算复杂度有很大的兴趣和研究。本文提出了一种预测零量化DCT (ZQDCT)系数的统计模型,用于三维DCT视频编码,从而提高编码过程。首先,将DCT输入端的每个8times8times8像素立方体分解为均值和残差8times8times8像素立方体。随后,在数学上建立了一个统计拉普拉斯模型来预测ZQDCT系数。最后,跳过这些ZQDCT系数的冗余计算。与基线编码方法相比,该模型可以显著简化编码复杂度,在忽略视觉退化的前提下获得更好的实时性。计算量的减少也意味着更长的电池寿命和便携式设备的能源经济性。
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