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Décompositions spatio-temporelles et allocation de débit utilisant les coupures des graphes pour le codage vidéo scalable

Abstract : The recent progress in wavelet-based video coding schemes led to the emergence of a new generation of scalable video codecs, whose performance is comparable to the best hybrid codecs. The t+2D wavelet-based schemes exploit the temporal interframe redundancy by applying an open-loop temporal wavelet transform over the frames of a video sequence. Temporally filtered subband frames are further spatially decomposed and can be encoded by different entropy-coding algorithms. Because of their inherent multiresolution signal representation, wavelet-based coding schemes have the potential to support temporal, spatial and SNR scalability. This is the reason for which we have chosen the scalable lifting-based wavelet-coding paradigm as the conceptual development framework for this thesis. The objective of this work consists of the analysis and design of a scalable video coding system. In a first time, we are interested in the construction and optimization of new motion-compensated temporal coding schemes, in order to increase the efficiency of objective and subjective video coding. Moreover, we describe a better representation of temporal subbands, by using anisotropic spatial decompositions, for a better capture of the orientation of spatial details. Finally, we propose a method for improving the entropy coding by designing a graph-based solution, in order to optimize the minimization of the Lagrangian rate-distortion functional.
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https://pastel.archives-ouvertes.fr/pastel-00004847
Contributor : Ecole Télécom Paristech <>
Submitted on : Wednesday, July 7, 2010 - 8:00:00 AM
Last modification on : Friday, July 31, 2020 - 10:44:05 AM
Long-term archiving on: : Thursday, December 1, 2016 - 4:21:16 AM

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  • HAL Id : pastel-00004847, version 1

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Maria Trocan. Décompositions spatio-temporelles et allocation de débit utilisant les coupures des graphes pour le codage vidéo scalable. domain_other. Télécom ParisTech, 2007. English. ⟨pastel-00004847⟩

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