Abstract: ‍ ‍In recent years， immersive media technology has developed rapidly and gotten initial implementation in many fields with the computer vision research and the continuous emergence of virtual reality devices. Considering that the quality loss generated by distorted immersive video is reflected in the user's intuitive perception， quality assessment research based on immersive video has become the study focus in the field of immersive video processing and has gradually attracted the attention of researchers. How to quantify the quality loss of immersive video and to evaluate the quality， and design algorithms that match the visual perception of human eyes for accurate and efficient assessment of video quality are of academic research significance and practical application value for the development of the research field of immersive video processing. This paper reviews recent research on immersive video subjective quality assessment databases and objective quality assessment methods. In addition， this paper analyzes the latest techniques related to immersive video quality assessment， such as depth information and virtual view synthesis. Finally， the research work on immersive video quality assessment is summarized and prospected.