Analysis of Modern Methods Used to Assess the Quality of Video Sequences During Signal Streaming

videos are going to occupy 82% of Internet traffic by 2022, as now we can observe a trend that video streaming is taking up more and more Internet bandwidth. With video traffic skyrocketing, improvements in video encoding technology are critical for video streaming companies. Assessing the quality of video compression in terms of human perception is an important area of research. Subjective evaluations of video quality require a lot of time for experiments and are not feasible in real-time applications. Therefore, interest in the development of models for the objective evaluation of video quality has a high growth trend in recent years. The main problem of modern objective quality assessments is unreliable information provided by developers, poor correlation with the visual perception of artefacts by the end user-human. In this paper, we present an analysis of modern video quality assessments used to assess the quality of video sequences during signal streaming. This work will be useful to video compression researchers, and will also be useful in creating additional test materials, planning future experiments, and improving adaptive codecs.