11. The method providing a natural language assessment of relative color quality between a series of reference images and a series of source images of claim 9 , wherein determining a color attribute change comprises determining a hue shift between the selected ones of the reference images and the corresponding source image.
9. A method for providing a natural language assessment of relative color quality between a series of reference images from video images and a series of source images from video images, the method comprising: determining, via a moving image color appearance model, a color comparison difference measurement between selected ones of the reference images and a corresponding source image of the series of source images, wherein the color comparison difference measurement is within a region of interest in space and/or time; accepting, at a processor and from the moving image color appearance model, an input of the color comparison difference measurement; converting, via the processor, the color comparison difference measurement to a two-dimensional color space difference; determining, via the processor, a color attribute change based on the two-dimensional color space difference; determining, via the processor, a magnitude of the color attribute change; mapping, via the processor, the magnitude of the color attribute change to one of a collection of natural language words; generating, via the processor, from the mapped magnitude, and from the two-dimensional color space difference, the natural language assessment; outputting, via the processor, the natural language assessment.