Features for Automated Quality Assessment of Digitally Transmitted Video
Stephen Wolf · 1990
This report describes an automated method of video quality assessment based on extraction and classification of features from sampled input and output video. The first subsystem of the automated video quality measurement system is the feature extraction subsystem. Features are extracted from the sampled video that quantify many of the distortions present in modern digital compression and transmission systems. The feature measurements may then be injected into a quality classification subsystem which will determine the overall quality rating of the video. This report discusses the first subsystem of the automated video quality assessment system, namely the feature extraction subsystem. The measurement techniques used to extract a number of useful features are discussed in detail. Results are presented using sampled video teleconferencing data that contained common video compression artifacts.