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Video, semantics and the sensor web

Smeaton, Alan F. (2009) Video, semantics and the sensor web. In: ESWC 2009 - 6th Annual European Semantic Web Conference, 31 May - 4 June 2009, Heraklion, Crete, Greece. ISBN 978-3-642-02120-6

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This talk will present a snapshot of some of the current projects underway in the CLARITY centre which contribute to the proposition of the sensor web. In particular we focus on lifelogging, tennis, cycling and environmental water quality monitoring as examples of sensor webs. The then present a summary of approaches taken to identifying the presence or absence of groups of semantic features, in video. The annual TRECVid activity has been benchmarking the effectiveness of various approaches since 2001 and we will examine what is the performance of these detectors, what are the trends in this area, and what is the state of the art. We will discover that the performance of individual detectors varies widely depending on the nature of the semantic feature, the quality of training data and its dependence on other detectors. There is a strong parallel between this and the way that sensors (environmental, physiological, etc.) which make up the sensor web, can also have poor accuracy levels when used in isolation but whose individual performances can be improved when used in combination.

Item Type:Conference or Workshop Item (Invited Talk)
Event Type:Conference
Additional Information:The original publication is available at
Uncontrolled Keywords:Sensor web; wireless sensor networks;
Subjects:Computer Science > Lifelog
Computer Science > Multimedia systems
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Published in:The Semantic Web: Research and Applications. Proceedings of the 6th European Semantic Web Conference, Crete, Greece. Lecture Notes in Computer Science 5554. Springer Berlin / Heidelberg. ISBN 978-3-642-02120-6
Publisher:Springer Berlin / Heidelberg
Official URL:
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:4583
Deposited On:05 Jun 2009 09:46 by Alan Smeaton. Last Modified 05 Jun 2009 09:46

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