12. A method, comprising: a computer system predicting one or more distortion categories from a plurality of distortion categories as having been previously applied to a first one or more image frames, wherein the predicting is based on a comparison of a plurality of image feature scores for the first one or more image frames with a plurality of image feature score ranges that correspond to one or more known distortion categories; and the computer system determining a quality of the first one or more image frames based on the predicted one or more distortion categories, wherein said determining is based on a plurality of human-measured quality scores for a plurality of second one or more image frames, wherein each of the plurality of second one or more image frames are classified as being in at least one of the identified one or more distortion categories, and wherein the determining includes a comparison of one or more of the plurality of image feature scores for the first one or more image frames with other feature scores for the plurality of second one or more image frames.
12. A method, comprising: a computer system predicting one or more distortion categories from a plurality of distortion categories as having been previously applied to a first one or more image frames, wherein the predicting is based on a comparison of a plurality of image feature scores for the first one or more image frames with a plurality of image feature score ranges that correspond to one or more known distortion categories; and the computer system determining a quality of the first one or more image frames based on the predicted one or more distortion categories, wherein said determining is based on a plurality of human-measured quality scores for a plurality of second one or more image frames, wherein each of the plurality of second one or more image frames are classified as being in at least one of the identified one or more distortion categories, and wherein the determining includes a comparison of one or more of the plurality of image feature scores for the first one or more image frames with other feature scores for the plurality of second one or more image frames. 13. The method of claim 12 , wherein the predicting one or more distortion categories is performed using a distortion classifier for natural scene statistics.