Time-space weighting for image sequence quantization

  • Hagit Zabrodsky Hel-Or
Session CG2b — Simulation & Animation
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1024)


This paper introduces a method for quantization of image-sequences which takes into account the human sensitivities in both space and time. A weighted clustering approach is used for quantization which allows flexibility in the choice of weights. Assigning weights proportional to the space gradients and the time gradients is shown to produce better quantization of color image sequences.


Image Sequence Temporal Frequency Spatial Weight Pixel Location Quantization Process 
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 1995

Authors and Affiliations

  • Hagit Zabrodsky Hel-Or
    • 1
  1. 1.Dept. of PsychologyStanford UniversityStanford

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