Automatic structuring and augmentation of a lifelog of images
Doherty, Aiden R. and Smeaton, Alan F. (2007) Automatic structuring and augmentation of a lifelog of images. In: Seminar at the Informedia group in Carnegie Mellon University, 29 May 2007, Pittsburgh, PA, USA.
Full text available as:
The SenseCam is a passively capturing wearable camera that takes approximately 3,000 images on average per day. This provides a user with an extensive visual diary. Possible applications making use of this device include helping dementia sufferers recall events from short-term memory, and also this device can be used by tourists to maintain an extensive image collection of their trip. However a large image collection will quickly build up, with an average of 1 million images captured each year. This presents a considerable challenge in terms of managing such a large collection and to make it accessible for users. This proposal addresses the problem in 4 steps:
1) Identifying distinct events within the 3,000 images per day
2) Highlighting the most unique of those events
3) Finding similar events to a given event
4) Augmenting the low-quality images from the wearable camera with higher quality images from external sources.
Archive Staff Only: edit this record