Gupta, Rashmi (2018) Considering documents in lifelog information retrieval. In: International Conference on Multimedia Retrieval ACM ICMR 2018, 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 be- hind 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 Institutes and Centres > INSIGHT Centre for Data Analytics DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
Published in: | 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/12/RC/2289) |
ID Code: | 22440 |
Deposited On: | 03 Jul 2018 10:48 by Deirdre Mccabe . Last Modified 19 Jul 2018 15:13 |
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