FULL REFERENCE VIDEO QUALITY ESTIMATION FOR VIDEOS WITH DIFFERENT SPATIAL RESOLUTIONS

被引：0

作者：

Demirtas, A. Murat ^{[1
]}

Reibman, Amy R. ^{[2
]}

Jafarkhani, Hamid ^{[1
]}

机构：

[1] Univ Calif Irvine, Ctr Pervas Commun & Comp, Irvine, CA USA

[2] AT&T Labs Res, Florham Pk, NJ USA

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2014年

关键词：

video quality estimation; human visual system; motion; spatial resolution; subjective tests; IMAGES;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Full reference video quality estimators (QEs) either resize the input video or the reference video to compute the quality when these videos have different spatial resolutions. This resizing operation causes several limitations. Multiscale Image Quality Estimator (MIQE) [1] overcomes those limitations for images but it does not consider the temporal characteristics of video. In this work, we develop a video quality estimator that integrates MIQE with the motion information to estimate the quality. We also perform subjective tests to compare the proposed algorithm with the existing QEs. Test results show that the proposed algorithm outperforms other QEs.

引用

页码：1997 / 2001

页数：5

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