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Title:
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Prediction error image coding using a modified stochastic vector quantization scheme
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Author:
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Torres Urgell, Lluís; Casas Pla, Josep Ramon
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. DMAG - Grup d'Aplicacions Multimèdia Distribuïdes; Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
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Abstract:
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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 performance of the scheme is shown for the particular case of segmentation-based video coding although the technique can be also applied to motion-compensated hybrid coding schemes. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
-Telecommunication
-Prediction theory
-Video coding
-Image sequences
-Vector quantisation
-Image segmentation
-Stochastic processes
-Telecomunicació |
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Rights:
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Document type:
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Article - Published version
Conference Object |
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Published by:
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IEEE
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