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Automatically segmenting lifelog data into events

Abstract:

A personal lifelog of visual information can be very helpful as a human memory aid. The SenseCam, a passively capturing wearable camera, captures an average of 1,785 images per day, which equates to over 600,000 images per year. So as not to overwhelm users it is necessary to deconstruct this substantial collection of images into digestable chunks of information, i.e. into distinct events or activities. This paper improves on previous work on automatic segmentation of Sense Cam images into ev...

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Publisher copy:
10.1109/WIAMIS.2008.32

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Language:
English
Pubs id:
pubs:384044
UUID:
uuid:a8d50287-5d8d-454e-b60e-96e103a60e1c
Local pid:
pubs:384044
Deposit date:
2013-11-16

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