A novel objective no-reference metric for digital video quality assessment

被引：50

作者：

Yang, FZ ^{[1
]}

Wan, SA

Chang, YL

Wu, HR

机构：

[1] Xidian Univ, Natl Key Lab ISN, Xian 710071, Peoples R China

[2] RMIT Univ, Sch Elect & Comp Engn, Melbourne, Vic 3001, Australia

来源：

IEEE SIGNAL PROCESSING LETTERS | 2005年 / 12卷 / 10期

关键词：

digital video quality assessment (VQA); human visual system (HVS); no-reference (NR) metrics;

D O I：

10.1109/LSP.2005.855553

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A novel objective no-reference metric is proposed for video quality assessment of digitally coded videos containing natural scenes. Taking account of the temporal dependency between adjacent images of the videos and characteristics of the human visual system, the spatial distortion of an image is predicted using the differences between the corresponding translational regions of high spatial complexity in two adjacent images, which are weighted according to temporal activities of the video. The overall video quality is measured by pooling the spatial distortions of all images in the video. Experiments using reconstructed video sequences indicate that the objective scores obtained by the proposed metric agree well with the subjective assessment scores.

引用

页码：685 / 688

页数：4

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