Developments in digital data capture and storage make it possible to archive much of our life experiences in personal digital lifelogs. Personal lifelog archives can contain everything from items read, written, or downloaded; to footage from life experiences, e.g. photographs taken, videos seen, music heard, details of places visited, details of people met, etc. Information can be captured from a myriad of personal information devices including desktop computers, PDAs, digital cameras, video and audio recorders, and various sensors, including GPS, Bluetooth, and biometric devices.

Finding important relevant items from within these archives in response to user queries, or presenting interesting data to a subject browsing through their archive, poses significant challenges. Any additional information which can assist in identifying important items is thus potentially very useful. This project is concerned with the automated annotation and linking of multimedia items within lifelog archives to facilitate more effective browsing and searching.

Our work on lifelogging primarily focuses on: lifelog creation; item linking; annotating items with rich sources of automatically derived context data; the role of biometrics in lifelog item retrieval; retrieval algorithm development; and user (lifelogger) memory oriented suggestive interface development.