A new compressive sensing video coding framework based on Gaussian mixture model

doi:10.1016/j.image.2017.03.009

OPT OpenIR > 光电跟踪与测量技术研究室

	A new compressive sensing video coding framework based on Gaussian mixture model
	Li, Xiangwei(李翔伟)1,2; Lan, Xuguang 1; Yang, Meng 1; Xue, Jianru 1; Zheng, Nanning 1; Lan, Xuguang (xglan@mail.xjtu.edu.cn)
作者部门	光电测量技术实验室
	2017-07-01
发表期刊	Signal Processing: Image Communication
ISSN	09235965
卷号	55
产权排序	1
摘要	In this paper, we specifically design an efficient compressive sensing video (CSV) coding framework for the CSV system, by considering the distribution characteristics of the CSV frame. To explore the spatial redundancy of the CSV, the CSV frame is first divided into blocks and each block is modeled by a Gaussian mixture model (GMM), and then it is compressed by a product vector quantization. We further explore the temporal redundancy of the CSV by encoding the adjacent CSV frames by the differential pulse code modulation technique and the arithmetic encoding technique. Experiment results show that the proposed CSV coding solution maintains low coding complexity, which is required by the CSV system. Meanwhile, it achieves significant BD-PSNR improvement by about 7.13–11.41 dB (or equivalently 51.23–66.96% bitrate savings) compared with four existing video coding solutions, which also have low computational complexity and suit for the CSV system. © 2017
DOI	10.1016/j.image.2017.03.009
收录类别	SCI ; EI
语种	英语
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.opt.ac.cn/handle/181661/28781
专题	光电跟踪与测量技术研究室
通讯作者	Lan, Xuguang (xglan@mail.xjtu.edu.cn)
作者单位	1.Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an; Shaanxi; 710049, China 2.Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; Shaanxi; 710049, China
推荐引用方式 GB/T 7714	Li, Xiangwei,Lan, Xuguang,Yang, Meng,et al. A new compressive sensing video coding framework based on Gaussian mixture model[J]. Signal Processing: Image Communication,2017,55.
APA	Li, Xiangwei,Lan, Xuguang,Yang, Meng,Xue, Jianru,Zheng, Nanning,&Lan, Xuguang .(2017).A new compressive sensing video coding framework based on Gaussian mixture model.Signal Processing: Image Communication,55.
MLA	Li, Xiangwei,et al."A new compressive sensing video coding framework based on Gaussian mixture model".Signal Processing: Image Communication 55(2017).

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
A new compressive se（2902KB）	期刊论文	作者接受稿	限制开放	CC BY-NC-SA	请求全文