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Table 3 Mean absolute errors of linear regression between explanatory variables and the number of subjects reporting eye strain

From: Efficient estimation of disparity statistics and their use as a predictor for perceived 3D video scene quality

Independent regression parameters

MAE

max( d v E )

1.0725

μ( d v E )

2.6737

σ( d v E )

1.1415

SR( d v E )

3.3606

max( d v E ) andμ( d v E )

1.0742

max( d v E ) andσ( d v E )

0.9710

max( d v E ) andSR( d v E )

0.8032

μ( d v E ) andσ( d v E )

1.5752

μ( d v E ) andSR( d v E )

2.5470

σ( d v E ) andSR( d v E )

1.6919

max( d v E ),μ( d v E ) andσ( d v E )

0.9330

max( d v E ),μ( d v E ) andSR( d v E )

0.8099

max( d v E ),σ( d v E ) andSR( d v E )

0.8092

μ( d v E ),σ( d v E ) andSR( d v E )

1.5163

max( d v E ),μ( d v E ),σ( d v E ) andSR( d v E )

0.8097

  1. The variables are: maximum disparity ( max ( d v E ) ), mean disparity (μ( d v E )), standard deviation (σ( d v E )) and slew rate (SR( d v E )). MAE scores reflect the average prediction error over 12 scenes.