Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)

An adaptive quantization algorithm in distributed video coding

Authors
Liang Cai, Dengyin Zhang
Corresponding Author
Liang Cai
Available Online March 2017.
DOI
https://doi.org/10.2991/ifmca-16.2017.91How to use a DOI?
Keywords
distributed video coding;quantization; correlation noise model
Abstract
Quantizaion is the first step in converting the analog signal into digital signal. In the distributed video coding, a 4x4 quantization matrix is used to quantize each coefficient. However, such a scheme is a fixed quantization matrix and can not be adaptively adjusted according to the characteristics of the video stream. This paper proposes an adaptive quantization scheme(AQ). Under the premise of guaranteeing video quality, the algorithm adjusts the threshold quantitatively by estimating a correlation noise model on the encoding side. It can also improve the rate-distortion performance of video decoding and ensure the requirements of distributed video coding on the encoding side as simple as possible.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
978-94-6252-307-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/ifmca-16.2017.91How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Liang Cai
AU  - Dengyin Zhang
PY  - 2017/03
DA  - 2017/03
TI  - An adaptive quantization algorithm in distributed video coding
BT  - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
PB  - Atlantis Press
SP  - 589
EP  - 594
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifmca-16.2017.91
DO  - https://doi.org/10.2991/ifmca-16.2017.91
ID  - Cai2017/03
ER  -