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Mo Músaem Fíorúil: a web-based search and information service for museum visitors

Blighe, Michael, Sav, Sorin Vasile, Lee, Hyowon orcid logoORCID: 0000-0003-4395-7702 and O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 (2008) Mo Músaem Fíorúil: a web-based search and information service for museum visitors. In: ICIAR 2008 - International Conference on Image Analysis and Recognition, 25-27 June 2008, Povoa de Varzim, Portugal. ISBN 978-3-540-69811-1

Abstract
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 o cial 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.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Image processing
Computer Science > Information retrieval
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: Image Analysis and Recognition. Lecture Notes in Computer Science 5112. Springer Berlin / Heidelberg. ISBN 978-3-540-69811-1
Publisher:Springer Berlin / Heidelberg
Official URL:http://dx.doi.org/10.1007/978-3-540-69812-8_48
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:642
Deposited On:08 Oct 2008 17:21 by Noel Edward O'connor . Last Modified 03 Jan 2019 15:18
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