%0 Journal Article
%T Video quality assessment based on content-partitioned approach and motion compensation<br>基于内容划分和运动补偿的视频质量评价
%A YAO Jie
%A TAN Jian-ming
%A CHEN Jing
%A <br>姚　杰
%A 谭建明
%A 陈　婧
%J 计算机应用研究
%D 2012
%I 
%X Current structural similarity based image quality assessment algorithm is generally the overall image quality analysis. However, for human visual system, different regions in image have different visual sensitivities, and the current method can not reflect these differences effectively. In this view, this paper proposed a content-partitioned image quality assessment algorithm, which partitioned an image into four regions according to their different gradient magnitudes and assessed their qualities respectively. Then, based on motion compensation, this paper proposed a frame-weighting approach, which extended the proposed algorithm to video quality assessment. The experiments show that the proposed algorithm is more accurate than several current popular algorithms.
%K video quality assessment
%K image quality assessment
%K structural similarity
%K motion compensation<br>视频质量评价
%K 图像质量评价
%K 结构相似性
%K 运动补偿
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=38AAB79AD8A56B53EEAFFDB649AE8714&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=F3090AE9B60B7ED1&sid=609E7FE397421A21&eid=C66A773167109543&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10