Structuring personal experiences-analyzing views from a head-mounted camera

This paper introduces a novel method for analyzing video records which contain personal activities captured by a head-mounted camera. This aims to support the user in retrieving the most important or relevant portions from the videos. For this purpose, we use the user´s behaviors which appear when he/she pays attention to something. We define two types of behavior, one of which is “gaze at something in a short period” and the other is “staying and continuously seeing something”. These behaviors and the focused object can be detected by estimating camera and object motion. We describe the details of the method and experiments in which the method was applied to ordinary events