Temporal and inter-view interpolation for the improvement of the side information in distributed video coding

Abstract : Distributed source coding is a paradigm that consists in encoding two correlated sources independently, provided that they are decoded jointly.Wyner and Ziv proved that distributed source coding can attain the same rate distortion performance of joint coding, under some constraints.This feature makes distributed source coding very attractive for applications that require a low-complexity encoder or for avoiding communication between the sources. In distributed video coding, correlated frames are encoded separately but decoded jointly. In the Stanford Architecture, the video is split into Key Frames and Wyner-Ziv Frames. The Key Frames are INTRA coded. The Wyner-Ziv Frames are fed into a systematic channel coder and only the parity bits are sent to the decoder. At the decoder side, an estimation of the Wyner-Ziv Frame, called side information, is produced by interpolating the available frames. The side information, that can be considered as a noisy version of the real Wyner-Ziv Frame, is corrected by the parity bits sent by the encoder. In this thesis, we propose several algorithms for side information generation both for the temporal and inter-view interpolation. We also propose a Bayesian fusion of the two estimations. All our algorithms outperform the state-of-the-art in terms of rate distortion performance. We also propose several algorithms for Wyner-Ziv estimation in the context of multiview video plus depth.
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Giovanni Petrazzuoli. Temporal and inter-view interpolation for the improvement of the side information in distributed video coding. Signal and Image processing. Télécom ParisTech, 2013. English. ⟨NNT : 2013ENST0004⟩. ⟨tel-01060836v2⟩

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