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Prediction error image coding using a modified stochastic vector quantization scheme

Author
Torres, L.; Casas, J.
Type of activity
Presentation of work at congresses
Name of edition
3rd International Conference on Image Processing
Date of publication
1996
Presentation's date
1996-09
Book of congress proceedings
ICIP 1996: 3rd International Conference on Image Processing: Lausanne, Switzerland: September 16-19, 1996
First page
451
Last page
454
Publisher
IEEE
DOI
https://doi.org/10.1109/ICIP.1996.560528 Open in new window
Repository
http://hdl.handle.net/2117/102674 Open in new window
URL
http://ieeexplore.ieee.org/document/560528/ Open in new window
Abstract
The objective of this paper is to provide an efficient and yet simple method to encode the prediction error image of video sequences, based on a stochastic vector quantization (SVQ) approach that has been modified to cope with the intrinsic decorrelated nature of the prediction error image of video signals. In the SVQ scheme, the codewords are generated by stochastic techniques instead of being generated by a training set representative of the expected input image as is normal use in VQ. The per...
Citation
Torres, L., Casas, J. Prediction error image coding using a modified stochastic vector quantization scheme. A: "ICIP 1996: 3rd International Conference on Image Processing: Lausanne, Switzerland: September 16-19, 1996". Lausanne: IEEE, 1996, p. 451-454.
Keywords
Image segmentation, Image sequences, Prediction theory, Stochastic processes, Vector quantisation, Video coding
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
IMP - Information Modelling and Processing

Participants

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