Abstract: Surveillance video is an important part of security systems. In today’s all walks of life, surveillance video is inseparable when it comes to security. However, the video content is still analyzed largely manually, which costs much manpower and time. With the increasing amount of surveillance video data, it is important to figure out how to improve the analysis efficiency of surveillance video content and reduce user’s cognitive load in order to make higher use of the videos. Aiming at the problems of redundant information in surveillance video and inefficient manual acquisition of key video content, a visual analysis system for surveillance video content was developed by applying SpiralTape summarization and corresponding interactive technologies. Combined with the detection data of moving objects, the object statistical information of visual videos was obtained from multiple angles based on the display advantages of the SpiralTape summarization. Finally, fast and efficient access to surveillance video content was achieved with auxiliary methods such as navigation, positioning and sketch interaction for the SpiralTape summarization.

Key words: surveillance video, SpiralTape summarization, sketch interaction, object detection, moving object detection