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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 tecnologia de codificação de vídeo distribuída (DVC) foi considerada capaz de reduzir imensamente a complexidade de processamento do codificador, enquanto a maioria das despesas gerais computacionais são assumidas pelo decodificador. Na estrutura DVC comum, as imagens são decodificadas usando o fluxo de bits codificado Wyner-Ziv recebido do codificador e as informações secundárias estimadas usando informações previamente decodificadas. Como resultado, a precisão da estimativa da informação secundária é muito crítica para melhorar a eficiência da codificação. Neste artigo propomos uma nova técnica de refinamento de informação lateral para DVC usando múltiplos fluxos de informação lateral e compensação de movimento sequencial com informações de luminância e crominância envolvendo fusão iterativa de fluxos de informação paralelos. Na arquitetura de codificação de plano de bits, planos de bits de ordem superior previamente decodificados são usados incrementalmente para realizar a estimativa de movimento conjuntamente em espaços de luminância e crominância para estimar múltiplos fluxos de bits redundantes para fusão iterativa para produzir informações laterais mais aprimoradas para planos de bits subsequentes. Os resultados da simulação mostram que um ganho significativo de qualidade objetiva pode ser alcançado na mesma taxa de bits, utilizando os algoritmos de refinamento propostos.
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Buddika ADIKARI, Anil FERNANDO, Rajitha WEERAKKODY, Ahmet M. KONDOZ, "An Iterative Fusion Technique for Dynamic Side Information Refinement in Pixel Domain Distributed Video Coding" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 6, pp. 1417-1423, June 2009, doi: 10.1587/transfun.E92.A.1417.
Abstract: Distributed video coding (DVC) technology has been considered to be capable of reducing the processing complexity of the encoder immensely, while majority of the computational overheads are taken over by the decoder. In the common DVC framework, the pictures are decoded using the Wyner-Ziv encoded bit stream received from the encoder and the side information estimated using previously decoded information. As a result, accuracy of the side information estimation is very critical in improving the coding efficiency. In this paper we propose a novel side information refinement technique for DVC using multiple side information streams and sequential motion compensation with luminance and chrominance information involving iterative fusion of parallel information streams. In the bit plane wise coding architecture, previously decoded higher order bit planes are incrementally used to perform the motion estimation jointly in luminance and chrominance spaces to estimate multiple redundant bit streams for iterative fusion to produce more improved side information for subsequent bit planes. Simulation results show significant objective quality gain can be achieved at the same bit rate by utilizing the proposed refinement algorithms.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.1417/_p
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@ARTICLE{e92-a_6_1417,
author={Buddika ADIKARI, Anil FERNANDO, Rajitha WEERAKKODY, Ahmet M. KONDOZ, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Iterative Fusion Technique for Dynamic Side Information Refinement in Pixel Domain Distributed Video Coding},
year={2009},
volume={E92-A},
number={6},
pages={1417-1423},
abstract={Distributed video coding (DVC) technology has been considered to be capable of reducing the processing complexity of the encoder immensely, while majority of the computational overheads are taken over by the decoder. In the common DVC framework, the pictures are decoded using the Wyner-Ziv encoded bit stream received from the encoder and the side information estimated using previously decoded information. As a result, accuracy of the side information estimation is very critical in improving the coding efficiency. In this paper we propose a novel side information refinement technique for DVC using multiple side information streams and sequential motion compensation with luminance and chrominance information involving iterative fusion of parallel information streams. In the bit plane wise coding architecture, previously decoded higher order bit planes are incrementally used to perform the motion estimation jointly in luminance and chrominance spaces to estimate multiple redundant bit streams for iterative fusion to produce more improved side information for subsequent bit planes. Simulation results show significant objective quality gain can be achieved at the same bit rate by utilizing the proposed refinement algorithms.},
keywords={},
doi={10.1587/transfun.E92.A.1417},
ISSN={1745-1337},
month={June},}
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TY - JOUR
TI - An Iterative Fusion Technique for Dynamic Side Information Refinement in Pixel Domain Distributed Video Coding
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1417
EP - 1423
AU - Buddika ADIKARI
AU - Anil FERNANDO
AU - Rajitha WEERAKKODY
AU - Ahmet M. KONDOZ
PY - 2009
DO - 10.1587/transfun.E92.A.1417
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2009
AB - Distributed video coding (DVC) technology has been considered to be capable of reducing the processing complexity of the encoder immensely, while majority of the computational overheads are taken over by the decoder. In the common DVC framework, the pictures are decoded using the Wyner-Ziv encoded bit stream received from the encoder and the side information estimated using previously decoded information. As a result, accuracy of the side information estimation is very critical in improving the coding efficiency. In this paper we propose a novel side information refinement technique for DVC using multiple side information streams and sequential motion compensation with luminance and chrominance information involving iterative fusion of parallel information streams. In the bit plane wise coding architecture, previously decoded higher order bit planes are incrementally used to perform the motion estimation jointly in luminance and chrominance spaces to estimate multiple redundant bit streams for iterative fusion to produce more improved side information for subsequent bit planes. Simulation results show significant objective quality gain can be achieved at the same bit rate by utilizing the proposed refinement algorithms.
ER -