A perceptual blurring metric for compressed video

Jun Xia, Yue Shi, Y. Ling, C. Teunissen, I.E.J. Heynderickx

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

A perceptual blurring metric, based on the variance difference between the original and compressed video sequence, is proposed. The human contrast sensitivity function is used to define different spatial frequency bands in which the variance is measured. The region of interest area is used for masking video content to further improve the accuracy of the metric. The proposed metric is evaluated on subjective blurring scores, and yields a high correlation coefficient of 0.934. Robustness of the metric is tested and revealed correlations higher than 0.78, when all video fragments were used. ©2009 IEEE.
Original languageEnglish
Title of host publication1st International Conference on Information Science and Engineering (ICISE), 26-28 December 2009, Nanjing
Place of PublicationNanjing
Pages461-464
DOIs
Publication statusPublished - 2009

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