Using multiple spatio-temporal features to estimate video quality

作者：

Highlights：

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• A full-reference video quality metric is proposed.

• The proposed metric has a high correlation with the subjective ratings.

• Multiple features that human visual system is interested in are captured.

摘要

•A full-reference video quality metric is proposed.•The proposed metric has a high correlation with the subjective ratings.•Multiple features that human visual system is interested in are captured.

论文关键词：Video quality assessment,Texture operator,Spatio-temporal texture analysis,Machine learning,Random forest regression

论文评审过程：Received 30 August 2017, Revised 20 January 2018, Accepted 19 February 2018, Available online 24 February 2018, Version of Record 7 March 2018.

论文官网地址：https://doi.org/10.1016/j.image.2018.02.010