Multidim Syst Sign Process https://doi.org/10.1007/s11045-018-0594-0 Decoder side Wyner–Ziv frame estimation using Chebyshev polynomial-based FLANN technique for distributed video coding 1 1 1 2 Bodhisattva Dash · Suvendu Rup · Anjali Mohapatra · Banshidhar Majhi · M. N. S. Swamy Received: 14 September 2017 / Revised: 14 February 2018 / Accepted: 26 May 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract In this paper, a Chebyshev polynomial-based functional link artiﬁcial neural net- work (CFLANN) technique for Wyner–Ziv (WZ) frame estimation in a distributed video coding framework is proposed. The estimated WZ frame at the decoder is also referred to as the side information (SI). The proposed scheme (CFLANN-SI) works in two phases, namely, training and testing. The network is trained ofﬂine, and to achieve better generalization, the training (input, target) patterns are created across several video sequences constituting varied motion behavior. It estimates the SI frame using adjacent key frames as inputs. The training convergence characteristics of CFLANN-SI is observed to be faster with reduced mean square error as compared to a multi-layer perceptron-based prediction scheme. It is also observed that once the model is trained, it is capable of estimating SI for rest of the
Multidimensional Systems and Signal Processing – Springer Journals
Published: Jun 4, 2018
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