Organising a daily visual diary using multifeature clustering

Ciarán Ó Conaire; Noel E. O'Connor; Alan F. Smeaton; Gareth J. F. Jones

doi:10.1117/12.704209

29 January 2007 Organising a daily visual diary using multifeature clustering

Ciarán Ó Conaire, Noel E. O'Connor, Alan F. Smeaton, Gareth J. F. Jones

Proceedings Volume 6506, Multimedia Content Access: Algorithms and Systems; 65060C (2007) https://doi.org/10.1117/12.704209
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

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.

Citation Download Citation

Ciarán Ó Conaire, Noel E. O'Connor, Alan F. Smeaton, and Gareth J. F. Jones "Organising a daily visual diary using multifeature clustering", Proc. SPIE 6506, Multimedia Content Access: Algorithms and Systems, 65060C (29 January 2007); https://doi.org/10.1117/12.704209

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