Automatic generation of summarized driving video with music and captions

Abstract

This paper provides a novel summarization method for driving data, including a driving video captured by car-mounted camera, vehicle behavior such as velocity, steering angle, and other information. While a large amount of the driving data have been gathered recently, looking back method, however, has not been well-considered. In this paper, we integrate various information from the driving data as a summarized video with a time stretched video based on the driving behavior, text annotations describing salient events and geo-location, and background music adapted with the driving behavior. This representation is generated automatically from driving data with symbolization process of driving behavior based on nonparametric Bayesian approach. Through subjective evaluations, we evaluated the efficiency of proposed method for understanding the driving data appropriately in short time.