Single view distributed video coding (DVC) is a coding method that allows for the computational complexity of the system to be shifted from the encoder to the decoder. This property promotes the use of DVC in systems where processing power or energy use at the encoder is constrained. Examples include wireless devices and surveillance. This paper proposes a multi-hypothesis transform domain single-view DVC system that performs symbol level coding with a non-binary low-density parity-check code. The main contributions of the system relate to the methods used for combining multiple side information hypotheses at the decoder. The system also combines interpolation and extrapolation in the side information creation process to improve the performance of the system over larger group-of-picture sizes.
Daniel Johannes LOUW
Tokyo Institute of Technology
Haruhiko KANEKO
Tokyo Institute of Technology
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Daniel Johannes LOUW, Haruhiko KANEKO, "A Symbol Based Distributed Video Coding System Using Multiple Hypotheses" in IEICE TRANSACTIONS on Fundamentals,
vol. E97-A, no. 2, pp. 632-641, February 2014, doi: 10.1587/transfun.E97.A.632.
Abstract: Single view distributed video coding (DVC) is a coding method that allows for the computational complexity of the system to be shifted from the encoder to the decoder. This property promotes the use of DVC in systems where processing power or energy use at the encoder is constrained. Examples include wireless devices and surveillance. This paper proposes a multi-hypothesis transform domain single-view DVC system that performs symbol level coding with a non-binary low-density parity-check code. The main contributions of the system relate to the methods used for combining multiple side information hypotheses at the decoder. The system also combines interpolation and extrapolation in the side information creation process to improve the performance of the system over larger group-of-picture sizes.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E97.A.632/_p
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@ARTICLE{e97-a_2_632,
author={Daniel Johannes LOUW, Haruhiko KANEKO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Symbol Based Distributed Video Coding System Using Multiple Hypotheses},
year={2014},
volume={E97-A},
number={2},
pages={632-641},
abstract={Single view distributed video coding (DVC) is a coding method that allows for the computational complexity of the system to be shifted from the encoder to the decoder. This property promotes the use of DVC in systems where processing power or energy use at the encoder is constrained. Examples include wireless devices and surveillance. This paper proposes a multi-hypothesis transform domain single-view DVC system that performs symbol level coding with a non-binary low-density parity-check code. The main contributions of the system relate to the methods used for combining multiple side information hypotheses at the decoder. The system also combines interpolation and extrapolation in the side information creation process to improve the performance of the system over larger group-of-picture sizes.},
keywords={},
doi={10.1587/transfun.E97.A.632},
ISSN={1745-1337},
month={February},}
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TY - JOUR
TI - A Symbol Based Distributed Video Coding System Using Multiple Hypotheses
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 632
EP - 641
AU - Daniel Johannes LOUW
AU - Haruhiko KANEKO
PY - 2014
DO - 10.1587/transfun.E97.A.632
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E97-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2014
AB - Single view distributed video coding (DVC) is a coding method that allows for the computational complexity of the system to be shifted from the encoder to the decoder. This property promotes the use of DVC in systems where processing power or energy use at the encoder is constrained. Examples include wireless devices and surveillance. This paper proposes a multi-hypothesis transform domain single-view DVC system that performs symbol level coding with a non-binary low-density parity-check code. The main contributions of the system relate to the methods used for combining multiple side information hypotheses at the decoder. The system also combines interpolation and extrapolation in the side information creation process to improve the performance of the system over larger group-of-picture sizes.
ER -