AuthorsD. Dang-Nguyen, M. Riegler, L. Zhou and C. Gurrin
EditorsK. Aizawa, M. Lew and S. Satoh
TitleChallenges and Opportunities within Personal Life Archives
AfilliationCommunication Systems, Machine Learning
Project(s)No Simula project
Publication TypeProceedings, refereed
Year of Publication2018
Conference NameProceedings of the 2018 ACM on International Conference on Multimedia Retrieval
Date Published07/2018
PublisherACM Press
Place PublishedNew York, NY, USA
ISBN Number9781450350464

Nowadays, almost everyone holds some form or other of a personal life archive. Automatically maintaining such an archive is an activity that is becoming increasingly common, however without automatic support the users will quickly be overwhelmed by the volume of data and will miss out on the potential benefits that lifelogs provide. In this paper we give an overview of the current status of lifelog research and propose a concept for exploring these archives. We motivate the need for new methodologies for indexing data, organizing content and supporting information access. Finally we will describe challenges to be addressed and give an overview of initial steps that have to be taken, to address the challenges of organising and searching personal life archives.

Citation Key26172