Wyner-Ziv spatial scalable video coding using compressive sensing in ubiquitous networks

GAN Zong-liang; QI Li-na; TANG Gui-jin; ZHU Xiu-chang

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Wyner-Ziv spatial scalable video coding using compressive sensing in ubiquitous networks

更新时间：2024-10-14

- Wyner-Ziv spatial scalable video coding using compressive sensing in ubiquitous networks
- Vol. 31, Issue 11, Pages: 41-48(2010)
- 作者机构：
  
  南京邮电大学江苏省图像处理与图像通信重点实验室
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN919.81
- Published：2010
- 稿件说明：
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GAN Zong-liang, QI Li-na, TANG Gui-jin, et al. Wyner-Ziv spatial scalable video coding using compressive sensing in ubiquitous networks[J]. 2010, 31(11): 41-48.
DOI：

GAN Zong-liang, QI Li-na, TANG Gui-jin, et al. Wyner-Ziv spatial scalable video coding using compressive sensing in ubiquitous networks[J]. 2010, 31(11): 41-48. DOI：

摘要

提出一种适用于泛在网络中的基于压缩感知的Wyner-Ziv空域可分级视频编码。在编码端

基本层和增强层之间独立编码

基本层编码器将视频信号下采样

然后进行H.264视频编码

增强层编码器采用自适应的压缩感知测量、量化和熵编码。在解码端

利用时域稀疏模型

基本层和增强层联合进行压缩感知重建。理论分析和实验结果表明

所提编码算法能够灵活地调整输出码流

具有较好的率失真性能和传输的顽健性。

Abstract

A novel Wyner-Ziv spatial scalable video coding using compressive sensing was proposed for the ubiquitous networks.At the encoder

both the base layer and enhancement layer encode the video signal independent

in which down-sampling video was coded by H.264 in the based layer and original video was coded with adaptive compressive sensing measurement

quantization and entropy coding in the enhancement layer.At the decoder

the base layer and enhancement layer jointly recovered the video signal using compressive sensing approach based on joint sparse model of inter frames.Theoretical analysis and experimental results show that the proposed video coding method can flexibly adjust the bit stream

and has better rate-distortion performance and the robustness of transmission.

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