An Iterative Fusion Technique for Dynamic Side Information Refinement in Pixel Domain Distributed Video Coding
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E92-A No.6 pp.1417-1423
- Publication Date
- 2009/06/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E92.A.1417
- Type of Manuscript
- PAPER
- Category
- Digital Signal Processing
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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},}
Copy
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 -
English
