1. An apparatus, comprising: a processor; and a storage device having instructions stored thereon that are executable by the processor to cause the apparatus to perform operations including: 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, wherein the plurality of image feature scores for the first one or more image frames are derived from a natural scene statistics model; and determining a quality of the first one or more image frames based on the predicted one or more distortion categories, wherein the 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 predicted one or more distortion categories, and wherein the determining includes a comparison of one or more 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.
1. An apparatus, comprising: a processor; and a storage device having instructions stored thereon that are executable by the processor to cause the apparatus to perform operations including: 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, wherein the plurality of image feature scores for the first one or more image frames are derived from a natural scene statistics model; and determining a quality of the first one or more image frames based on the predicted one or more distortion categories, wherein the 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 predicted one or more distortion categories, and wherein the determining includes a comparison of one or more 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. 2. The apparatus of claim 1 , wherein the predicting includes, for a particular distortion category of the plurality of distortion categories, assessing a probability of the particular distortion category being applicable to the first one or more image frames.