Vsurv: A Visualization Scheme for UAV Reconnaissance Video

This paper proposes a visualization scheme for UAV reconnaissance video to describe the video content and structure in a user-friendly way. Firstly, the video content is analyzed efficiently by the feature of Image perceptual hashing moment proposed to measure the content importance of frame, secondly, the bag-of-words model is applied to extract keyframes´ semantic information from the entire video, finally, the video description is generated through visualization model. The experiment result shows that visualization scheme can display the video´s content, structure and highlight clearly to users.