• DocumentCode
    3226719
  • Title

    A Theoretical Analysis of Data Reduction Using the Weber Quantizer

  • Author

    Kammerl, Julius ; Hinterseer, Peter ; Chaudhuri, Subhasis ; Steinb, Eckehard

  • Author_Institution
    Tech. Univ. Munchen, Munich
  • fYear
    2008
  • fDate
    25-27 March 2008
  • Firstpage
    524
  • Lastpage
    524
  • Abstract
    We present a theoretical analysis of a perceptual coding approach, the so called Weber quantizer. Extensive studies performed by experimental psychologists and physiologists have unveiled one major conclusion: human perception often follows Weber´s law. Ernst Weber was an experimental physiologist who in 1834 first discovered the following implication DeltaI = kl, where DeltaI is the so called difference threshold or the just noticeable difference (JND). It describes the smallest amount of change of an (arbitrary) stimulus I which can be detected just as often as it cannot be detected and defines the Weber bound at [(1 - k)I, (1 + k)I].
  • Keywords
    data compression; data reduction; encoding; quantisation (signal); Weber quantizer; data reduction; difference threshold; human perception; perceptual coding approach; theoretical analysis; Binary trees; Data analysis; Data communication; Data compression; Gaussian distribution; Haptic interfaces; Humans; Probability; Psychology; Signal analysis; data reduction; data transmission; perceptual coding; quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 2008. DCC 2008
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    978-0-7695-3121-2
  • Type

    conf

  • DOI
    10.1109/DCC.2008.71
  • Filename
    4483351