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Comparing approaches to interactive lifelog search at the Lifelog Search Challenge (LSC2018)

Gurrin, Cathal orcid logoORCID: 0000-0003-2903-3968, Schoeffmann, Klaus, Joho, Hideo, Leibetseder, Andreas, Zhou, Liting orcid logoORCID: 0000-0002-7778-8743, Duane, Aaron orcid logoORCID: 0000-0002-9825-1654, Dang-Nguyen, Duc-Tien orcid logoORCID: 0000-0002-2761-2213, Riegler, Michael, Piras, Luca, Tran, Minh-Triet orcid logoORCID: 0000-0003-3046-3041, Lokoč, Jakub and Hurst, Wolfgang (2019) Comparing approaches to interactive lifelog search at the Lifelog Search Challenge (LSC2018). ITE Transactions on Media Technology and Applications, 7 (2). pp. 46-59. ISSN 2186-7364

The Lifelog Search Challenge (LSC) is an international content retrieval competition that evaluates search for personal lifelog data. At the LSC, content-based search is performed over a multi-modal dataset, continuously recorded by a lifelogger over 27 days, consisting of multimedia content, biometric data, human activity data, and information activities data. In this work, we report on the first LSC that took place in Yokohama, Japan in 2018 as a special workshop at ACM International Conference on Multimedia Retrieval 2018 (ICMR 2018). We describe the general idea of this challenge, summarise the participating search systems as well as the evaluation procedure, and analyse the search performance of the teams in various aspects. We try to identify reasons why some systems performed better than others and provide an outlook as well as open issues for upcoming iterations of the challenge.
Item Type:Article (Published)
Uncontrolled Keywords:collaborative benchmarking; interactive retrieval; evaluation
Subjects:Computer Science > Information retrieval
Computer Science > Interactive computer systems
Computer Science > Lifelog
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > INSIGHT Centre for Data Analytics
Publisher:The Institute of Image Information and Television Engineers
Official URL:https://doi.org/10.3169/mta.7.46
Copyright Information:© 2019 The Institute of Image Information and Television Engineers
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:23096
Deposited On:10 Apr 2019 12:26 by Cathal Gurrin . Last Modified 15 Dec 2021 15:54

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