Novel VQ with constraints on the quantization error distribution

Authors:
Joachim Schenk;Frank Wallhoff;Gerhard Rigoll
Affiliations:
Institute for Human-Machine Communication, Department of Electrical Engeneering and Information Technology, Technische Universität München, München;Institute for Human-Machine Communication, Department of Electrical Engeneering and Information Technology, Technische Universität München, München;Institute for Human-Machine Communication, Department of Electrical Engeneering and Information Technology, Technische Universität München, München
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

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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.