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
DVC(분산 비디오 코딩) 기술은 인코더의 처리 복잡성을 크게 줄이는 동시에 계산 오버헤드의 대부분을 디코더가 대신할 수 있는 것으로 간주되었습니다. 공통 DVC 프레임워크에서는 인코더로부터 수신된 Wyner-Ziv 인코딩된 비트스트림과 이전에 디코딩된 정보를 사용하여 추정된 부가 정보를 사용하여 영상을 디코딩합니다. 결과적으로, 부가정보 추정의 정확성은 코딩 효율성을 향상시키는데 매우 중요하다. 본 논문에서는 병렬 정보 스트림의 반복적 융합을 수반하는 휘도 및 색차 정보를 이용한 순차적 움직임 보상과 다중 부가 정보 스트림을 사용하는 DVC를 위한 새로운 부가 정보 개선 기술을 제안합니다. 비트 평면 방식 코딩 아키텍처에서, 이전에 디코딩된 고차 비트 평면은 휘도 및 색도 공간에서 공동으로 모션 추정을 수행하기 위해 증분적으로 사용되어 후속 비트 평면에 대해 더 개선된 부가 정보를 생성하기 위한 반복적 융합을 위한 다중 중복 비트 스트림을 추정합니다. 시뮬레이션 결과는 제안된 개선 알고리즘을 활용하여 동일한 비트 전송률에서 상당한 객관적 품질 향상을 달성할 수 있음을 보여줍니다.
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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},}
부
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 -