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
A Codificação de Vídeo Distribuída (DVC) é uma abordagem emergente de codificação de vídeo, particularmente atraente devido à sua flexibilidade para implementar codificadores de baixa complexidade. Esse recurso pode ser utilizado de maneira muito eficaz em vários cenários de aplicação baseados em sensores de vídeo. No entanto, o DVC ainda está em processo de desenvolvimento e as implementações de codec atualmente disponíveis baseiam-se em vários modelos e suposições hipotéticas. Em DVC, os efeitos do ruído e do desvanecimento na carga útil comprimida (fluxo de bits de paridade) em comunicações de vídeo reais e o cenário resultante do modelo de canal modificado não foram discutidos na literatura. Neste artigo, uma solução para o problema acima em DVC baseado em turbo codificação é discutida incorporando um novo modelo de canal duplo para o algoritmo máximo a posteriori (MAP) para decodificação turbo. As simulações para AWGN e canais sem fio em diferentes tamanhos de grupo de imagens (GOP) mostram que o algoritmo proposto melhora o desempenho de distorção de taxa em comparação com o algoritmo de decodificação existente. Ele também supera o codec IPIP H.264/AVC (perfil v10.1/baseline); particularmente em níveis baixos de relação sinal-ruído (SNR) do canal, permitindo assim que o DVC seja uma opção viável e eficiente para comunicações de vídeo.
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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 -