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Issue No.04 - July/August (2008 vol.28)
pp: 98-102
Erich Bruns , Bauhaus-University Weimar
Benjamin Brombach , Bauhaus-University Weimar
Oliver Bimber , Bauhaus-University Weimar
ABSTRACT
We present an overview of our adaptive museum guidance system called PhoneGuide. It uses camera-equipped mobile phones for on-device object recognition in ad-hoc sensor networks and provides location and object aware multimedia content to museum visitors.
INDEX TERMS
Mobile computing, adaptive classification, machine learning, image classification, museum guidance
CITATION
Erich Bruns, Benjamin Brombach, Oliver Bimber, "Mobile Phone-Enabled Museum Guidance with Adaptive Classification", IEEE Computer Graphics and Applications, vol.28, no. 4, pp. 98-102, July/August 2008, doi:10.1109/MCG.2008.77
REFERENCES
1. W-C. Chen et al., "Efficient Extraction of Robust Image Features on Mobile Devices," Proc. Int'l Symp. Mixed and Augmented Reality, 2007, IEEE Press, pp. 287–288.
2. G. Fritz, C. Seifert, and L. Paletta, "A Mobile Vision System for Urban Detection with Informative Local Descriptors," Proc. 4th IEEE Int'l Conf. Computer Vision Systems, IEEE Press, 2006, p. 30.
3. E. Bruns et al., "Enabling Mobile Phones to Support Large-Scale Museum Guidance," IEEE MultiMedia, vol. 14, no. 2, 2007, pp. 16–25.
4. E. Bruns and O. Bimber, "Adaptive Training of Video Sets for Image Recognition on Mobile Phones," to appear in J. Personal and Ubiquitous Computing, 2008; www.springerlink.com/contentx166871351767265 /.
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