Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

Aggregating concepts for event representation in lifelogging

Wang, Peng and Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 (2011) Aggregating concepts for event representation in lifelogging. In: Third International Workshop on Semantic Web Information Management (SWIM 2011), 12-16 June 2011, Athens, Greece. ISBN 978-1-4503-0651-5

The performance of automatic detection of concepts in im- age and video data has been improved to a satisfactory level for some generic concepts like indoor, outdoor, faces, etc. on high quality data from broadcast TV or movies. How- ever it remains a challenge to apply this to interpreting the high-level semantics of events as they occur in visual lifelogs from wearable cameras. This is because poorer quality im- age data and the activities of the wearer make it difficult to automatically categorise them. In this paper, we propose an interestingness-based semantic aggregation and representa- tion algorithm, to tackle the problem of event management and representation in visual lifelogging. Semantic concept interestingness is calculated by fusing image-level concepts which are then exploited to select a representation for the semantic event correlated to various event topics. Experi- mental results show the efficacy of our algorithm in fusing semantics at the event level, and in selecting representations for event management in visual lifelogging.
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Uncontrolled Keywords:Semantics; interestingness
Subjects:Computer Science > Lifelog
Computer Science > Visualization
Computer Science > Algorithms
Computer Science > Information retrieval
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: Proceedings of the International Workshop on Semantic Web Information Management. . Association for Computing Machinery. ISBN 978-1-4503-0651-5
Publisher:Association for Computing Machinery
Official URL:http://portal.acm.org/citation.cfm?id=1999307
Copyright Information:© 2011 ACM. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the International Workshop on Semantic Web Information Management, (June 2011) http://doi.acm.org/10.1145/1999299.1999307
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16370
Deposited On:21 Jul 2011 14:32 by Peng Wang . Last Modified 31 Oct 2018 13:02

Full text available as:

[thumbnail of peng_SWIM2011.pdf]
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


Downloads per month over past year

Archive Staff Only: edit this record