This paper summarized the significant methods and techniques for video abstraction and systematically presented all aspects of this technology to properly evaluate the research progress of video abstraction and to provide a correct orientation for deep research in this field. This paper introduced the main research techniques in detail and discussed the typical algorithms based on two main abstraction generation steps

namely

video content analysis and abstraction generation. Specifically

this paper analyzed the progress of video abstraction in the past five years and described the new demand in this field

that is

real-time and multi-view video abstraction. The evaluation benchmark of video abstraction was also analyzed. This paper summarized the video abstraction techniques and described the current research situation in this field. Two solutions to address the difficulty in obtaining video semantics were also proposed. Finally

the paper discussed the future development direction of video summary technology. As an important part of understanding video content

video abstraction has great research value. To date

video abstraction still has defects that need to be addressed

particularly in the areas of video semantic presentation and abstraction evaluation benchmark.