Automatic annotation of video quality impairment training data for generating machine learning models of video quality prediction

Abstract

Exemplary embodiments are directed to methods and systems for annotating generating training data for video quality impairment detection. A video stream recorder extracts one or more image frames from a reference video stream as it is played. A video image labeler embeds a unique label into each of the one or more extracted image frames. The video stream recorder records the one or more labeled image frames as a labeled video stream. The video stream player then plays the labeled video stream through an impaired communication channel to generate a degraded video stream. A video image comparator compares one or more corresponding frames of the labeled video stream and the degraded video stream to generate one or more difference frames. An impaired image recorder annotates at least one of the one or more difference frames according to a corrupted region of the at least one difference frame.