Novel VQ with constraints on the quantization error distribution

Joachim Schenk, Frank Wallhoff, Gerhard Rigoll

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we motivate and introduce a novel vector quantization (VQ) scheme for distributing the quantization error among the quantized features of a continuous feature vector in a predefined manner. This is done by defining ratios between the individual quantization errors of the features and shaping the Voronoi cells accordingly. In a series of experiments we show that the novel approach is capable of either distributing the quantization error equally among the dimensions or realize an arbitrary distribution.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009
Pages169-172
Number of pages4
DOIs
StatePublished - 2009
Event2009 IEEE International Conference on Multimedia and Expo, ICME 2009 - New York, NY, United States
Duration: 28 Jun 20093 Jul 2009

Publication series

NameProceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009

Conference

Conference2009 IEEE International Conference on Multimedia and Expo, ICME 2009
Country/TerritoryUnited States
CityNew York, NY
Period28/06/093/07/09

Keywords

  • Error shaping
  • Quantization error
  • Vector quantization
  • Voronoi cells

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