1st International ICST Conference on Robot Communication and Coordination

Research Article

The Weber Quantizer: Perceptual Coding for Networked Telepresence and Teleaction

Download711 downloads
  • @INPROCEEDINGS{10.4108/ICST.ROBOCOMM2007.2144,
        author={P. Hinterseer and J. Kammerl and E. Steinbach and S. Chaudhuri},
        title={The Weber Quantizer: Perceptual Coding for Networked Telepresence and Teleaction},
        proceedings={1st International ICST Conference on Robot Communication and Coordination},
        proceedings_a={ROBOCOMM},
        year={2010},
        month={5},
        keywords={Quantization perceptual coding teleoperation},
        doi={10.4108/ICST.ROBOCOMM2007.2144}
    }
    
  • P. Hinterseer
    J. Kammerl
    E. Steinbach
    S. Chaudhuri
    Year: 2010
    The Weber Quantizer: Perceptual Coding for Networked Telepresence and Teleaction
    ROBOCOMM
    ICST
    DOI: 10.4108/ICST.ROBOCOMM2007.2144
P. Hinterseer1,*, J. Kammerl1,*, E. Steinbach1,*, S. Chaudhuri2,*
  • 1: Technische Universit¨at M¨unchen Technische Universit¨at M¨ Institute of Communication Networks Media Technology Group Munich, Germany
  • 2: Department of Electrical Engineering Indian Institute of Technology, Bombay Mumbai, India
*Contact email: ph@tum.de, kammerl@tum.de, steinbach@tum.de, sc@ee.iitb.ac.in

Abstract

We present a theoretical analysis of a perceptual coding approach for networked telepresence and teleaction. Our so called Weber quantizer is based on Weber’s Law and can be used in haptic data communication to eliminate changes which can not be perceived by the human operator. The main advantage of the Weber quantizer is that it minimizes the number of samples or packets to be transmitted. Basic properties like the resulting sample rate and the MSE of the proposedWeber quantizer are derived analytically and proven correct by simulation for the case of a uniformly distributed input sequence. The contributions in this paper provide the basis for the analysis of more realistic signal models and constitute a first step towards the understanding of the relationship between the Weber quantizer, statistical error measures and actual human distortion perception.