%0 Journal Article
%T Residual distributed compressive video sensing<br>残差分布式视频压缩感知*
%A DENG Shi-yang
%A WANG An-hong
%A <br>邓世洋
%A 王安红
%J 计算机应用研究
%D 2012
%I 
%X Compressive sensing (CS) is a new theory which states that the compression can be achieved in the process of data acquisition, gives strong supports for simplifying the acquisition algorithms. Meanwhile, DVC provides a basis for low-complexity video coding. Hence,this paper addressed the problem of low-complexity video coding by integrating the respective characteristic of DVC and CS.It proposed a new residual distributed compressive video sensing (RDCVS) using the residual coding technology. At the encoder,it just encoded each key frame by traditional intra-frame model and measured the other non-key frames randomly based on a residual joint sparse model. At the decoder,it implemented the efficient reconstruction using side information and the modified GPSR (gradient projection for sparse reconstruction). Some computation-consuming algorithms, such as motion estimation and transform coding, are moved to the decoder, the low-complexity encoding is therefore preserved in RDCVS. The experimental results show that RDCVS achieves 23 dB improvements in PSNR compared to the referenced scheme.
%K compressive video sensing
%K distributed video coding(DVC)
%K gradient projection
%K joint sparsity
%K residual<br>视频压缩感知
%K 分布式视频编码
%K 梯度投影
%K 联合稀疏
%K 残差
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=DD72437537278C17A3433D191549398D&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=E158A972A605785F&sid=C3BE0738C75042AD&eid=A7E55B1B50263111&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=13