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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Pengekodan Video Teragih (DVC) ialah pendekatan pengekodan video yang muncul, terutamanya menarik kerana fleksibilitinya untuk melaksanakan pengekod kompleks rendah. Ciri ini boleh digunakan dengan sangat berkesan dalam beberapa senario aplikasi berasaskan sensor video. Walau bagaimanapun, DVC masih dalam proses pembangunan dan pelaksanaan codec yang tersedia pada masa ini adalah berdasarkan beberapa model dan andaian hipotesis. Dalam DVC, kesan hingar dan pudar pada muatan termampat (strim bit pariti) dalam komunikasi video sebenar dan senario model saluran diubah suai yang terhasil belum dibincangkan dalam literatur. Dalam makalah ini, penyelesaian kepada masalah di atas dalam DVC berasaskan pengekodan turbo dibincangkan dengan menggabungkan model saluran dwi novel untuk algoritma a-posteriori (MAP) maksimum untuk penyahkodan turbo. Simulasi untuk AWGN dan saluran wayarles pada saiz kumpulan gambar (GOP) yang berbeza menunjukkan bahawa algoritma yang dicadangkan meningkatkan prestasi herotan kadar berbanding dengan algoritma penyahkodan sedia ada. Ia juga mengatasi prestasi codec IPIP H.264/AVC (v10.1/profil garis dasar); terutamanya pada tahap Nisbah Isyarat kepada Bunyi (SNR) saluran yang rendah, sekali gus membolehkan DVC sebagai pilihan yang berdaya maju dan cekap untuk komunikasi video.
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Salinan
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
Salinan
@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},}
Salinan
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 -