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Ondelettes et décompositions spatio-temporelles avancées; application au codage vidéo scalable

Abstract : Some of the most powerful schemes for scalable video coding are based on the recent t+2D paradigm, which has been shown to outperform the best hybrid video codecs. In these schemes, temporal redundancy is first exploited through a motion-compensated multiresolution decomposition and the resulting temporal subband frames are then spatially decomposed with a wavelet transform. My research works consist in designing wavelet-based and non-linear scalable decompositions, able to efficiently capture the spatio-temporal redundancy present in video sequences. The following main directions have been followed. First, we show how we can design highly efficient temporal lifted transforms, in order to improve the coding gain of the underlying video codec. We then investigate into M-band filters banks, used to spatially decompose the temporal subbands and show how their scalability features can be extended to non-dyadic factors. At last, we present some reversible and adaptive wavelet decompositions that can efficiently capture the directional nature of images without transmitting any side information.
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https://pastel.archives-ouvertes.fr/pastel-00002189
Contributor : Ecole Télécom Paristech <>
Submitted on : Tuesday, November 16, 2010 - 4:32:47 PM
Last modification on : Friday, July 31, 2020 - 10:44:05 AM
Long-term archiving on: : Friday, September 10, 2010 - 4:34:40 PM

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Grégoire Pau. Ondelettes et décompositions spatio-temporelles avancées; application au codage vidéo scalable. domain_other. Télécom ParisTech, 2006. Français. ⟨pastel-00002189⟩

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