1. A method comprising: receiving or generating, by a processing unit implemented in circuitry, image segmentation data for a plurality of pixels, wherein the image segmentation data includes a plurality of Gaussian Mixture Model (GMM) parameter values for one or more GMM models for each pixel of the plurality of pixels, and wherein the plurality of GMM parameter values includes a mean value, a variance value, and a weight value for each pixel of the plurality of pixels; converting, by the processing unit, the plurality of GMM parameter values into a plurality of image component values, wherein converting the plurality of GMM parameter values comprises converting the mean value of the plurality of GMM parameter values into a first image component value of the plurality of image component values using one or more look up tables (LUTs), converting the variance value of the plurality of GMM parameter values into a second image component value of the plurality of image component values using the one or more LUTs, and converting the weight value of the plurality of GMM parameter values into a third image component value of the plurality of image component values using the one or more LUTs; and encoding, by a video encoder, the plurality of image component values.