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LifeSeeker: an interactive concept-based retrieval system for lifelog data

Nguyen, Thao-Nhu orcid logoORCID: 0000-0003-1356-9434, Le, Tu-Khiem orcid logoORCID: 0000-0003-3013-9380, Ninh, Van-Tu orcid logoORCID: 0000-0003-0641-8806, Caputo, Annalina orcid logoORCID: 0000-0002-7144-8545, Healy, Graham orcid logoORCID: 0000-0001-6429-6339, Smyth, Sinéad orcid logoORCID: 0000-0002-8736-0505, Tran, Minh-Triet orcid logoORCID: 0000-0003-3046-3041 and Nguyen, Thanh Binh orcid logoORCID: 0000-0001-5249-9702 (2023) LifeSeeker: an interactive concept-based retrieval system for lifelog data. In: 6th Annual ACM Lifelog Search Challenge (LSC '23), 12-15 June 2023, Thessaloniki, Greece. ISBN 979-8-4007-0188-7

Abstract
Lifelogging was introduced as the process of passively capturing personal daily events via wearable devices. It ultimately creates a visual diary encoding every aspect of one’s life with the aim of future sharing or recollecting. In this paper, we present LifeSeeker, a lifelog image retrieval system participating in the Lifelog Search Challenge (LSC) for 3 years, since 2019. Our objective is to support users to seek specific life moments using a combination of textual descriptions, spatial relationships, location information, and image similarities. In addition to the LSC challenge results, a further experiment was conducted in order to evaluate the power retrieval of our system on both expert and novice users. This experiment informed us about the effectiveness of the user’s interaction with the system when involving non-experts.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:No
Uncontrolled Keywords:lifelog; interactive retrieval; information system
Subjects:Computer Science > Information retrieval
Computer Science > Interactive computer systems
Computer Science > Multimedia systems
Computer Science > Information storage and retrieval systems
Computer Science > Lifelog
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > ADAPT
Published in: Gurrin, Cathal and Jónsson, Björn Þór, (eds.) LSC '23: Proceedings of the 6th Annual ACM Lifelog Search Challenge. . Association for Computer Machinery (ACM). ISBN 979-8-4007-0188-7
Publisher:Association for Computer Machinery (ACM)
Official URL:https://doi.org/10.1145/3592573.3593098
Copyright Information:© 2023 The Authors.
Funders:Irish Research Council under grant number GOIPG/2016/741, Science Foundation Ireland Centre for Research Training under grant number 18/CRT/6223, Insight SFI Research Centre for Data Analytics under grant number SFI/12/RC/2289 P2, ADAPT - Centre for Digital Content Technology under grant number SFI/13/RC/2106 P2, European Regional Development Fund.
ID Code:28446
Deposited On:08 Aug 2023 14:47 by Thao-Nhu Nguyen . Last Modified 08 Aug 2023 15:06
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