IEICE TRANSACTIONS on Information
A New Scheme of Distributed Video Coding Based on Compressive Sensing and Intra-Predictive Coding
Summary :
Compressive sensing is attractive to distributed video coding with respect to two issues: low complexity in encoding and low data rate in transmission. In this paper, a novel compressive sensing-based distributed video coding system is presented based on a combination of predictive coding and Wyner-Ziv difference coding of compressively sampled frames. Experimental results show that the data volume in transmission in the proposed method is less than one tenth of the distributed compressive video sensing. The quality of decoded video was evaluated in terms of PSNR and structural similarity index as well as visual inspections.
- Publication
- IEICE TRANSACTIONS on Information Vol.E100-D No.9 pp.1944-1952
- Publication Date
- 2017/09/01
- Publicized
- 2017/06/14
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2016PCP0009
- Type of Manuscript
- Special Section PAPER (Special Section on Picture Coding and Image Media Processing)
- Category
Authors
Shin KURIHARA
Niigata University
Suguru HIROKAWA
Niigata University
Hisakazu KIKUCHI
Niigata University
Keyword
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Shin KURIHARA, Suguru HIROKAWA, Hisakazu KIKUCHI, "A New Scheme of Distributed Video Coding Based on Compressive Sensing and Intra-Predictive Coding" in IEICE TRANSACTIONS on Information,
vol. E100-D, no. 9, pp. 1944-1952, September 2017, doi: 10.1587/transinf.2016PCP0009.
Abstract: Compressive sensing is attractive to distributed video coding with respect to two issues: low complexity in encoding and low data rate in transmission. In this paper, a novel compressive sensing-based distributed video coding system is presented based on a combination of predictive coding and Wyner-Ziv difference coding of compressively sampled frames. Experimental results show that the data volume in transmission in the proposed method is less than one tenth of the distributed compressive video sensing. The quality of decoded video was evaluated in terms of PSNR and structural similarity index as well as visual inspections.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2016PCP0009/_p
Copy
@ARTICLE{e100-d_9_1944,
author={Shin KURIHARA, Suguru HIROKAWA, Hisakazu KIKUCHI, },
journal={IEICE TRANSACTIONS on Information},
title={A New Scheme of Distributed Video Coding Based on Compressive Sensing and Intra-Predictive Coding},
year={2017},
volume={E100-D},
number={9},
pages={1944-1952},
abstract={Compressive sensing is attractive to distributed video coding with respect to two issues: low complexity in encoding and low data rate in transmission. In this paper, a novel compressive sensing-based distributed video coding system is presented based on a combination of predictive coding and Wyner-Ziv difference coding of compressively sampled frames. Experimental results show that the data volume in transmission in the proposed method is less than one tenth of the distributed compressive video sensing. The quality of decoded video was evaluated in terms of PSNR and structural similarity index as well as visual inspections.},
keywords={},
doi={10.1587/transinf.2016PCP0009},
ISSN={1745-1361},
month={September},}
Copy
TY - JOUR
TI - A New Scheme of Distributed Video Coding Based on Compressive Sensing and Intra-Predictive Coding
T2 - IEICE TRANSACTIONS on Information
SP - 1944
EP - 1952
AU - Shin KURIHARA
AU - Suguru HIROKAWA
AU - Hisakazu KIKUCHI
PY - 2017
DO - 10.1587/transinf.2016PCP0009
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E100-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2017
AB - Compressive sensing is attractive to distributed video coding with respect to two issues: low complexity in encoding and low data rate in transmission. In this paper, a novel compressive sensing-based distributed video coding system is presented based on a combination of predictive coding and Wyner-Ziv difference coding of compressively sampled frames. Experimental results show that the data volume in transmission in the proposed method is less than one tenth of the distributed compressive video sensing. The quality of decoded video was evaluated in terms of PSNR and structural similarity index as well as visual inspections.
ER -
English
