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Proceedings Paper

Organising a daily visual diary using multifeature clustering
Author(s): Ciarán Ó Conaire; Noel E. O'Connor; Alan F. Smeaton; Gareth J. F. Jones
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Paper Abstract

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.

Paper Details

Date Published: 29 January 2007
PDF: 11 pages
Proc. SPIE 6506, Multimedia Content Access: Algorithms and Systems, 65060C (29 January 2007); doi: 10.1117/12.704209
Show Author Affiliations
Ciarán Ó Conaire, Dublin City Univ. (Ireland)
Noel E. O'Connor, Dublin City Univ. (Ireland)
Alan F. Smeaton, Dublin City Univ. (Ireland)
Gareth J. F. Jones, Dublin City Univ. (Ireland)


Published in SPIE Proceedings Vol. 6506:
Multimedia Content Access: Algorithms and Systems
Alan Hanjalic; Raimondo Schettini; Nicu Sebe, Editor(s)

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