An adaptive quantization algorithm in distributed video coding

DOI

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/ifmca-16.2017.91
ID  - Cai2017/03
ER  -