Combining Face Detection and Novelty to Identify Important Events in a Visual Lifelog
CITWORKSHOPS '08 Proceedings of the 2008 IEEE 8th International Conference on Computer and Information Technology Workshops
Automatically Segmenting LifeLog Data into Events
WIAMIS '08 Proceedings of the 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services
Combining image descriptors to effectively retrieve events from visual lifelogs
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Video shot boundary detection: Seven years of TRECVid activity
Computer Vision and Image Understanding
SenseCam: a retrospective memory aid
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
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With the growth of digital lifelogging technologies there are challenges in terms of detecting and annotating real world events from this multimedia lifelog data. In this paper we use the SenseCam, a passively capturing wearable camera, worn around the neck, which captures about 3,000 photos per day, thereby creating a personal lifelog or visual recording of the wearer's life, which could be helpful as a human memory aid. For such a large amount of visual information to be of any value, it needs to be structured into semantic events. In this paper we are particularly interested in how a user's perceptions of real world events decays over time. In particular we investigate several questions including whether data owners have different perceptions of event boundaries to non-owners, whether the passage of time changes what we believe to be events and if so then do we forget about the weakly defined original events. We carry out these investigations using real visual lifelog data gathered and annotated, twice, by three users.