Organising a daily visual diary using multifeature clustering
Ó Conaire, Ciarán, O'Connor, Noel E.ORCID: 0000-0002-4033-9135, Smeaton, Alan F.ORCID: 0000-0003-1028-8389 and Jones, Gareth J.F.ORCID: 0000-0003-2923-8365
(2007)
Organising a daily visual diary using multifeature clustering.
In: SPIE Electronic Imaging - Multimedia Content Access: Algorithms and Systems, 28 January - 1 February 2007, San Jose, California.
The SenseCam is a prototype device from Microsoft that facilitates automatic capture of images of a person's life by integrating a colour camera, storage media and multiple sensors into a small wearable device. However, efficient search methods are required to reduce the user's burden of sifting through the thousands of images that are captured per day. In this paper, we describe experiments using colour spatiogram and block-based cross-correlation image features in conjunction with accelerometer sensor readings to cluster a day's worth of data into meaningful events, allowing the user to quickly browse a day's captured images. Two different low-complexity algorithms are detailed and evaluated for SenseCam image clustering.
Copyright 2007 SPIE and IS&T.
This paper was published in Multimedia Content Access: Algorithms and Systems (Proceedings Volume) - Proceedings of SPIE Volume: 6506 and is made available as an
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Funders:
Science Foundation Ireland, SFI 03/IN.3/I361, Irish Research Council for Science Engineering and Technology
ID Code:
339
Deposited On:
13 Mar 2008 by DORAS Administrator. Last Modified 25 Oct 2018 12:14