Decoder side Wyner–Ziv frame estimation using Chebyshev polynomial-based FLANN technique for distributed video coding

Decoder side Wyner–Ziv frame estimation using Chebyshev polynomial-based FLANN technique for... 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 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Multidimensional Systems and Signal Processing Springer Journals

Decoder side Wyner–Ziv frame estimation using Chebyshev polynomial-based FLANN technique for distributed video coding

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Engineering; Circuits and Systems; Electrical Engineering; Signal,Image and Speech Processing; Artificial Intelligence (incl. Robotics)
ISSN
0923-6082
eISSN
1573-0824
D.O.I.
10.1007/s11045-018-0594-0
Publisher site
See Article on Publisher Site

Abstract

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

Journal

Multidimensional Systems and Signal ProcessingSpringer Journals

Published: Jun 4, 2018

References

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