Abstract
We describe the prototype of an interactive, web-based, museum artifact search and information service. Mo Músaem Fíorúil clusters and indexes images of museum artifacts taken by visitors to the museum where the images are captured using a passive capture device such as Microsoft’s SenseCam [1]. The system also matches clustered artifacts to images of the same artifact from the museums official photo collection and allows the user to view images of the same artifact taken by other visitors to the museum. This matching process potentially allows the system to provide more detailed information about a particular artifact to the user based on their inferred preferences, thereby greatly enhancing the user’s overall museum experience. In this work, we introduce the system and describe, in broad terms, it’s overall functionality and use. Using different image sets of artificial museum objects, we also describe experiments and results carried out in relation to the artifact matching component of the system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Gemmell, J., Williams, L., Wood, K., Lueder, R., Bell, G.: Passive capture and ensuing issues for a personal lifetime store (October 2004)
Proctor, N., Tellis, C.: The state of the art in museum handhelds in 2003. In: Museums and the Web (2003)
Aroyo, L., Wang, Y., Brussee, R., Gorgels, P., Rutledge, L., Stash, N.: Personalized museum experience - the rijksmuseum use case. In: Museums and The Web (April 2007)
Fockler, P., Zeidler, T., Brombach, B., Bruns, E., Bimber, O.: Phoneguide - museum guidance supported by on-device object recognition on mobile phones. 54 74, Bauhaus-University Weimar, Weimar, Germany (2005)
Bay, H., Fasel, B., Gool, L.V.: Interactive museum guide - fast and robust recognition of museum objects. In: First International Workshop on Mobile Vision (2006)
Oppermann, R., Sprecht, M.: Adaptive mobile museum guide for information and learning on demand. In: 8th International Conference on Human-Computer Interaction, vol. 2, pp. 642–646 (1999)
Thrun, S., Beetz, M., Bennewitz, M., Burgard, W., Cremers, A., Dellaert, F., Fox, D., Hahnel, D., Rosenberg, C., Roy, N., Schulte, J., Schulz, D.: Probabilistic algorithms and the interactive museum tour-guide robot minerva. International Journal of Robotics Research 19(11), 972–999 (2000)
Semper, R., Spasojevic, M.: The electronic guidebook - using portable devices and a wireless web-based network to extend the museum experience. In: Museums and the Web (April 2002)
Hsi, S.: The electronic guidebook - a study of user experiences using mobile web content in a museum setting. In: International Workshop on Wireless and Mobile Technologies in Education (August 2002)
Healey, J., Picard, R.: Startlecam: A cyberbetic wearable camera (October 1998)
Gemmell, J., Aris, A., Lueder, R.: Telling stories with mylifebits. In: ICME (July 2005)
Blighe, M., Borgne, H.L., O’Connor, N.: Exploiting context information to aid landmark detection in sensecam images. In: 2nd International Workshop on Exploiting Context Histories in Smart Environments - Infrastructures and Design (ECHISE) (September 2006)
Bush, V.: As we may think. The Atlantic Monthly (July 1945)
Joki, A., Burke, J., Estrin, D.: Campaignr - a framework for participatory data collection on mobile phones. Technical Report 770, Centre for Embedded Network Sensing, University of California, Los Angeles (October 2007)
Schmid, C., Mohr, R.: Local grayvalue invariants for image retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(5), 530–535 (1997)
Baumberg, A.: Reliable feature matching across widely separated views. In: IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 774–781 (2000)
Lowe, D.: Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60(2), 91–110 (2004)
Schmid, C., Mohr, R., Bauckhage, C.: Evaluation of interest point detectors. International Journal of Computer Vision 37(2), 151–172 (2000)
Mikolajczyk, K., Schmid, C.: A performance evaluation of local descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(10), 1615–1630 (2005)
Beis, J., Lowe, D.: Shape indexing using approximate nearest-neighbour search in high-dimensional spaces. In: Conference on Computer Vision and Pattern Recognition, pp. 1000–1006 (1997)
Ballard, D.: Generalizing the hough transform to detect arbitrary patterns. Pattern Recognition 13(2), 111–122 (1981)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Blighe, M., Sav, S., Lee, H., O’Connor, N.E. (2008). Mo Músaem Fíorúil: A Web-Based Search and Information Service for Museum Visitors. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2008. Lecture Notes in Computer Science, vol 5112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69812-8_48
Download citation
DOI: https://doi.org/10.1007/978-3-540-69812-8_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69811-1
Online ISBN: 978-3-540-69812-8
eBook Packages: Computer ScienceComputer Science (R0)