It was developed by Kalpana Seshadrinathan and Alan Bovik in the Laboratory for Image and Video Engineering (LIVE) at The University of Texas at Austin.
It was described in print in the 2010 technical paper "Motion Tuned Spatio-Temporal Quality Assessment of Natural Videos".
At the same time, a prediction of the temporal (time-varying or inter-frame) motion picture quality is calculated by using the responses of the same Gabor space-time frequency decomposition of reference and test videos, but in a different manner.
These measurements on the reference and test videos are then differentially combined and divisively normalized to produce a prediction of temporal picture quality.
According to the original paper, MOVIE index delivers better perceptual motion picture quality predictions than do traditional methods such as the peak signal-to-noise ratio (PSNR) and mean squared error (MSE), which are inconsistent with human visual perception.