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Considering documents in lifelog information retrieval

Gupta, Rashmi (2018) Considering documents in lifelog information retrieval. In: 2018 International Conference on Multimedia Retrieval (ICMR’18), 11–14 June 2018, Yokohama, Japan. ISBN 978-1-4503-5046-4

Abstract
Lifelogging is a research topic that is receiving increasing attention and although lifelog research has progressed in recent years, the concept of what represents a document in lifelog retrieval has not yet been sufficiently explored. Hence, the generation of multimodal lifelog documents is a fundamental concept that must be addressed. In this paper, I introduce my general perspective on generating documents in lifelogging and reflect on learnings from collecting multimodal lifelog data from a number of participants in a study on lifelog data organization. In addition, the main motivation behind document generation is proposed and the challenges faced while collecting data and generating documents are discussed in detail. Finally, a process for organizing the documents in lifelog data retrieval is proposed, which I intend to follow in my PhD research.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Lifelogging; Lifelog Documents; Moment; Activity; Event
Subjects:Computer Science > Lifelog
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: ICMR '18 Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval. . ACM. ISBN 978-1-4503-5046-4
Publisher:ACM
Official URL:https://doi.org/10.1145/3206025.3206081
Copyright Information:© 2018 ACM
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland (SFI) grant number SFI/12/RC/2289.
ID Code:22441
Deposited On:26 Jun 2018 11:49 by Thomas Murtagh . Last Modified 19 Jul 2018 15:13
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