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Optimal Encoding of Vector Data with Polygonal Approximation and Vertex Quantization

  • Alexander Kolesnikov
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3540)

Abstract

Problem of lossy compression of vector data is considered. We attack the problem by jointly considering data reduction by polygonal approximation and quantization of the prediction errors for approximation nodes. Optimal algorithms proposed for vector data encoding with minimal distortion for given target bit-rate, and with minimal bit-rate for given maximum deviation.

Keywords

Prediction Error Vector Data Curve Segment Quantization Step Lossy Compression 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Alexander Kolesnikov
    • 1
  1. 1.Speech and Image Processing Unit Department of Computer ScienceUniversity of JoensuuJoensuuFinland

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