The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Le codage vidéo distribué (DVC) est une approche émergente de codage vidéo, particulièrement intéressante en raison de sa flexibilité pour mettre en œuvre des encodeurs peu complexes. Cette fonctionnalité pourrait être utilisée très efficacement dans un certain nombre de scénarios d’application basés sur des capteurs vidéo. Cependant, DVC est encore en cours de développement et les implémentations de codecs actuellement disponibles sont basées sur un certain nombre de modèles et d'hypothèses hypothétiques. En DVC, les effets du bruit et de l'évanouissement sur la charge utile compressée (flux binaire de parité) dans les communications vidéo réelles et le scénario de modèle de canal modifié qui en résulte n'ont pas été abordés dans la littérature. Dans cet article, une solution au problème ci-dessus dans le DVC basé sur le turbocodage est discutée, incorporant un nouveau modèle à double canal pour l'algorithme maximum a posteriori (MAP) pour le turbodécodage. Les simulations pour les canaux AWGN et sans fil à différentes tailles de groupe d'images (GOP) montrent que l'algorithme proposé améliore les performances de distorsion de débit par rapport à l'algorithme de décodage existant. Il surpasse également le codec IPIP H.264/AVC (v10.1/profil de base) ; en particulier aux faibles niveaux de rapport signal/bruit (SNR) du canal, faisant ainsi du DVC une option viable et efficace pour les communications vidéo.
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Rajitha WEERAKKODY, Anil FERNANDO, Ahmet M. KONDOZ, "Modifying the Turbo Decoder for DVC over Wireless Channels" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 8, pp. 2009-2016, August 2009, doi: 10.1587/transfun.E92.A.2009.
Abstract: Distributed Video Coding (DVC) is an emerging video coding approach, particularly attractive due to its flexibility to implement low complex encoders. This feature could be very effectively utilized in a number of video sensor based application scenarios. However, DVC is still in the process of development and currently available codec implementations are based on a number of hypothetical models and assumptions. In DVC, the effects of noise and fading on the compressed payload (parity bit stream) in real video communications and the resultant modified channel model scenario have not been discussed in literature. In this paper, a solution to the above problem in turbo coding based DVC is discussed incorporating a novel dual channel model for the maximum a-posteriori (MAP) algorithm for turbo decoding. The simulations for AWGN and wireless channels at different group of picture (GOP) sizes show that the proposed algorithm improves the rate distortion performance compared to the existing decoding algorithm. It also outperforms the H.264/AVC I-P-I-P codec (v10.1/baseline profile); particularly at low Signal to Noise Ratio (SNR) levels of the channel, thus enabling DVC as a viable and efficient option for video communications.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.2009/_p
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@ARTICLE{e92-a_8_2009,
author={Rajitha WEERAKKODY, Anil FERNANDO, Ahmet M. KONDOZ, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Modifying the Turbo Decoder for DVC over Wireless Channels},
year={2009},
volume={E92-A},
number={8},
pages={2009-2016},
abstract={Distributed Video Coding (DVC) is an emerging video coding approach, particularly attractive due to its flexibility to implement low complex encoders. This feature could be very effectively utilized in a number of video sensor based application scenarios. However, DVC is still in the process of development and currently available codec implementations are based on a number of hypothetical models and assumptions. In DVC, the effects of noise and fading on the compressed payload (parity bit stream) in real video communications and the resultant modified channel model scenario have not been discussed in literature. In this paper, a solution to the above problem in turbo coding based DVC is discussed incorporating a novel dual channel model for the maximum a-posteriori (MAP) algorithm for turbo decoding. The simulations for AWGN and wireless channels at different group of picture (GOP) sizes show that the proposed algorithm improves the rate distortion performance compared to the existing decoding algorithm. It also outperforms the H.264/AVC I-P-I-P codec (v10.1/baseline profile); particularly at low Signal to Noise Ratio (SNR) levels of the channel, thus enabling DVC as a viable and efficient option for video communications.},
keywords={},
doi={10.1587/transfun.E92.A.2009},
ISSN={1745-1337},
month={August},}
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TY - JOUR
TI - Modifying the Turbo Decoder for DVC over Wireless Channels
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2009
EP - 2016
AU - Rajitha WEERAKKODY
AU - Anil FERNANDO
AU - Ahmet M. KONDOZ
PY - 2009
DO - 10.1587/transfun.E92.A.2009
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2009
AB - Distributed Video Coding (DVC) is an emerging video coding approach, particularly attractive due to its flexibility to implement low complex encoders. This feature could be very effectively utilized in a number of video sensor based application scenarios. However, DVC is still in the process of development and currently available codec implementations are based on a number of hypothetical models and assumptions. In DVC, the effects of noise and fading on the compressed payload (parity bit stream) in real video communications and the resultant modified channel model scenario have not been discussed in literature. In this paper, a solution to the above problem in turbo coding based DVC is discussed incorporating a novel dual channel model for the maximum a-posteriori (MAP) algorithm for turbo decoding. The simulations for AWGN and wireless channels at different group of picture (GOP) sizes show that the proposed algorithm improves the rate distortion performance compared to the existing decoding algorithm. It also outperforms the H.264/AVC I-P-I-P codec (v10.1/baseline profile); particularly at low Signal to Noise Ratio (SNR) levels of the channel, thus enabling DVC as a viable and efficient option for video communications.
ER -