An adaptive quantization algorithm in distributed video coding
Liang Cai, Dengyin Zhang
Available Online March 2017.
- https://doi.org/10.2991/ifmca-16.2017.91How to use a DOI?
- distributed video coding;quantization; correlation noise model
- 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.
- 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 -