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Introduction to the Sixth Annual Lifelog Search Challenge, LSC’23

Gurrin, Cathal orcid logoORCID: 0000-0003-2903-3968, Jonsson, Bjorn Þór orcid logoORCID: 0000-0003-0889-3491, Dang Nguyen, Duc Tien orcid logoORCID: 0000-0002-2761-2213, Healy, Graham orcid logoORCID: 0000-0001-6429-6339, Lokoc, Jakub orcid logoORCID: 0000-0002-3558-4144, Zhou, Liting orcid logoORCID: 0000-0002-7778-8743, Rossetto, Luca orcid logoORCID: 0000-0002-5389-9465, Tran, Minh-Triet orcid logoORCID: 0000-0003-3046-3041, Hürst, Wolfgang orcid logoORCID: 0000-0002-5112-9774, Bailer, Werner orcid logoORCID: 0000-0003-2442-4900 and Schoeffmann, Klaus orcid logoORCID: 0000-0002-9218-1704 (2023) Introduction to the Sixth Annual Lifelog Search Challenge, LSC’23. In: 2023 ACM International Conference on Multimedia Retrieval ICMT'23, 12-15 June 2023, Thessaloniki, Greece. ISBN 9798400701788

Abstract
For the sixth time since 2018, the Lifelog Search Challenge (LSC) was organized as a comparative benchmarking exercise for various interactive lifelog search systems. The goal of this international competition is to test system capabilities to access large multimodal lifelogs. LSC’23 attracted twelve participanting teams, each of whom had developed a competitive interactive lifelog retrieval system. The benchmark was organized in front of live audience at the LSC workshop at ACM ICMR’23. As in previous editions, this introductory paper presents the LSC workshop and introduces the participating lifelog search systems.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Benchmarking; Lifelog; Interactive Retrieval Systems
Subjects:Computer Science > Lifelog
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: Kompatsiaris, Ioannis (Yiannis), Luo, Jiebo, Sebe, Nicu, Yao, Angela, Mezaris, Vasileios and Papadopoulos, Symeon, (eds.) ICMR '23: Proceedings of the 2023 ACM International Conference on Multimedia Retrieval. . Association for Computing Machinery (ACM). ISBN 9798400701788
Publisher:Association for Computing Machinery (ACM)
Official URL:https://doi.org/10.1145/3591106.3592304
Copyright Information:© 2023 The Authors.
Funders:Science Foundation Ireland under grant numbers SFI/12/RC/2289- P2 and SFI/13/RC/2106-P2, and co-funded by the European Regional Development Fund
ID Code:29270
Deposited On:14 Dec 2023 19:16 by Cathal Gurrin . Last Modified 14 Dec 2023 19:16
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