Exploiting context information to aid landmark detection in SenseCam images
Blighe, Michael and Le Borgne, Hervé and O'Connor, Noel E. and Smeaton, Alan F. and Jones, Gareth J.F. (2006) Exploiting context information to aid landmark detection in SenseCam images. In: ECHISE 2006 - 2nd International Workshop on Exploiting Context Histories in Smart Environments - Infrastructures and Design, 17 September 2006, Orange County, CA, USA.
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In this paper, we describe an approach designed to exploit
context information in order to aid the detection of landmark images from a large collection of photographs. The
photographs were generated using Microsoft’s SenseCam, a
device designed to passively record a visual diary and cover
a typical day of the user wearing the camera. The proliferation of digital photos along with the associated problems of managing and organising these collections provide the background motivation for this work. We believe more ubiquitious cameras, such as SenseCam, will become the norm in the future and the management of the volume of data generated by such devices is a key issue. The goal of the work reported here is to use context information to assist in the detection of landmark images or sequences of images from the thousands of photos taken daily by SenseCam. We will achieve this by analysing the images using low-level MPEG-7 features along with metadata provided by SenseCam, followed by simple clustering to identify the landmark images.
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