Passive capture and ensuing issues for a personal lifetime store

TLDR

Passive capture allows people to record experiences automatically without operating equipment or conscious effort, increasing capture and participation but creating challenges in managing the large volume of media. The paper introduces the SenseCam device, a wearable camera integrated with multiple sensors. SenseCam data is uploaded to a MyLifeBits repository where feature extraction, particularly correlation and relationship analysis, is applied to organize the media. The correlation‑based feature management enables efficient retrieval and browsing of the captured content.

Abstract

Passive capture lets people record their experiences without having to operate recording equipment, and without even having to give recording conscious thought. The advantages are increased capture, and improved participation in the event itself. However, passive capture also presents many new challenges. One key challenge is how to deal with the increased volume of media for retrieval, browsing, and organizing. This paper describes the SenseCam device, which combines a camera with a number of sensors in a pendant worn around the neck. Data from SenseCam is uploaded into a MyLifeBits repository, where a number of features, but especially correlation and relationships, are used to manage the data.