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Time-space weighting for image sequence quantization

  • Session CG2b — Simulation & Animation
  • Conference paper
  • First Online:
Image Analysis Applications and Computer Graphics (ICSC 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1024))

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Abstract

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.

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Author information

Authors and Affiliations

  1. Dept. of Psychology, Stanford University, 94305, Stanford, CA

    Hagit Zabrodsky Hel-Or

Authors
  1. Hagit Zabrodsky Hel-Or
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Editor information

Roland T. Chin Horace H. S. Ip Avi C. Naiman Ting-Chuen Pong

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© 1995 Springer-Verlag Berlin Heidelberg

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Hel-Or, H.Z. (1995). Time-space weighting for image sequence quantization. In: Chin, R.T., Ip, H.H.S., Naiman, A.C., Pong, TC. (eds) Image Analysis Applications and Computer Graphics. ICSC 1995. Lecture Notes in Computer Science, vol 1024. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60697-1_126

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  • DOI: https://doi.org/10.1007/3-540-60697-1_126

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60697-0

  • Online ISBN: 978-3-540-49298-6

  • eBook Packages: Springer Book Archive

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