Drive video summarization based on double articulation structure of driving behavior

This paper provides a novel summarization method for drive videos using driving behavior, such as driver maneuvers and vehicle reaction, recorded simultaneously alongside video. We segmented the driving behavior into chunks via an unsupervised manner and summarized the drive videos using the chunks, i.e., the switching points of the chunks were emphasized and the middle of the chunks were compressed. As the result of subjective evaluation, we found that the chunks were more consistent with human-recognized driving context than the image-based method and that the summarized video was more suitable for reviewing entire driving scenes, i.e., our method achieved an efficient summarization.