Wearable Video Retrieval and Navigation System using GPS Data

We have investigated a wearable video system to capture our experiences by a wearable camera, microphone and some sensors including GPS receiver, etc. GPS receiver was used to record the user's tracks and identify the location of user's experiences by latitude and longitude coordinates. GPS receiver can also extract time, speed and direction that are benefit contexts for wearable video navigation. Thus, we attempt to use available data from GPS to extract the key events from wearable video. In this paper, we propose a wearable video retrieval and navigation by using GPS data. Our system provides two types of navigation functions including key frame based navigation and location based navigation. Key frame based navigation is used to extract the key frames from wearable video to summarize the video contents. Location based navigation can be used to retrieve the wearable video based on user's tracks by using a map. Both of them have the relationship and interfaces to present each other. We demonstrate the key frame extraction techniques based on moving speed detection, directional change detection and the comparison between time and distance sampling. The key frame extraction techniques were evaluated based on the performance to detect landmarks and desired events. The results showed that the navigation system using GPS data is helpful to retrieve and extract the key events during traveling scenes in daily life.