Compression of Video Data Using Parametric Line and Natural Cubic Spline Block Level Approximation(Image Processing and Video Processing)

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概要

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• This paper presents a method for lossy compression of digital video data by parametric line and Natural cubic spline approximation. The method estimates the variation of pixel values in the temporal dimension by taking group of pixels together as keyblocks and interpolating them in Euclidean space. Break and fit criterion is used to minimize the number of keyblocks required for encoding and decoding of approximated data. Each group of pixels at fixed spatial location is encoded/decoded independently. The proposed method can easily be incorporated in the existing video data compression techniques based on Discrete Cosine Transform or Wavelet Transform.

• 社団法人電子情報通信学会の論文
• 2007-05-01

著者

• Ohno Yoshio

  Graduate School Of Science And Technology Keio University

• KHAN Murtaza

  Graduate School of Science and Technology, Keio University

• Khan Murtaza

  Graduate School Of Science And Technology Keio University

関連論文

• Compression of Video Data Using Parametric Line and Natural Cubic Spline Block Level Approximation(Image Processing and Video Processing)

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