Modifying the Turbo Decoder for DVC over Wireless Channels

Rajitha WEERAKKODY; Anil FERNANDO; Ahmet M. KONDOZ

doi:10.1587/transfun.E92.A.2009

Modifying the Turbo Decoder for DVC over Wireless Channels

Rajitha WEERAKKODY, Anil FERNANDO, Ahmet M. KONDOZ

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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.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E92-A No.8 pp.2009-2016

Publication Date: 2009/08/01

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Online ISSN: 1745-1337

DOI: 10.1587/transfun.E92.A.2009

Type of Manuscript: PAPER

Category: Digital Signal Processing

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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 -