Abstract: In an example method, one or more processing devices receive encoded image data, and cause visual content to be presented on a display device according to the encoded image data. Further, the one or more processing devices receive measurement data regarding the visual content presented on the display device, and determine, based on the measurement data, one or more first perceptual quantizer (PQ) codes corresponding to the visual content presented on the display device. Further, the one or more processing devices determine, based on the encoded image data, one or more second PQ codes, and determine one or more metrics indicative of a performance characteristic the display device based on the first PQ codes and the second PQ codes. The one or more processing devices store a data item including the one or more metrics.

Abstract: In an example method, one or more processing devices receive encoded image data, and cause visual content to be presented on a display device according to the encoded image data. Further, the one or more processing devices receive measurement data regarding the visual content presented on the display device, and determine, based on the measurement data, one or more first perceptual quantizer (PQ) codes corresponding to the visual content presented on the display device. Further, the one or more processing devices determine, based on the encoded image data, one or more second PQ codes, and determine one or more metrics indicative of a performance characteristic the display device based on the first PQ codes and the second PQ codes. The one or more processing devices store a data item including the one or more metrics.

Abstract: Systems and Methods disclosed for measuring a similarity between the input and the output of computing systems and communications channels. Techniques disclosed provide for low complexity prediction method of a perceptual video quality (PVQ) score, which may be used to design and tune performance of the computing systems and communications channels.