Side Information and Noise Learning for Distributed Video Coding Using Optical Flow and Clustering

van Luong H, Raket LL, Huang X, Forchhammer S (2012)

Publication Language: English

Publication Type: Journal article

Publication year: 2012

Journal

IEEE Transactions on Image Processing Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 21

Pages Range: 4782-4796

Journal Issue: 12

URI: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6287585

DOI: 10.1109/TIP.2012.2215621

Abstract

Distributed video coding (DVC) is a coding paradigm that exploits the source statistics at the decoder side to reduce the complexity at the encoder. The coding efficiency of DVC critically depends on the quality of side information generation and accuracy of noise modeling. This paper considers transform domain Wyner-Ziv (TDWZ) coding and proposes using optical flow to improve side information generation and clustering to improve the noise modeling. The optical flow technique is exploited at the decoder side to compensate for weaknesses of block-based methods, when using motion-compensation to generate side information frames. Clustering is introduced to capture cross band correlation and increase local adaptivity in the noise modeling. This paper also proposes techniques to learn from previously decoded WZ frames. Different techniques are combined by calculating a number of candidate soft side information for low density parity check accumulate decoding. The proposed decoder side techniques for side information and noise learning (SING) are integrated in a TDWZ scheme. On test sequences, the proposed SING codec robustly improves the coding efficiency of TDWZ DVC. For WZ frames using a GOP size of 2, up to 4-dB improvement or an average (Bjøntegaard) bit-rate savings of 37% is achieved compared with DISCOVER.

Authors with CRIS profile

Huynh van Luong Lehrstuhl für Multimediakommunikation und Signalverarbeitung

How to cite

APA:

van Luong, H., Raket, L.L., Huang, X., & Forchhammer, S. (2012). Side Information and Noise Learning for Distributed Video Coding Using Optical Flow and Clustering. IEEE Transactions on Image Processing, 21(12), 4782-4796. https://dx.doi.org/10.1109/TIP.2012.2215621

MLA:

van Luong, Huynh, et al. "Side Information and Noise Learning for Distributed Video Coding Using Optical Flow and Clustering." IEEE Transactions on Image Processing 21.12 (2012): 4782-4796.

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