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Comparing approaches to interactive lifelog search at the lifelog search challenge (LSC2018)

Gurrin, Cathal; Schoeffmann, Klaus; Joho, Hideo; Leibetseder, Andreas; Zhou, Liting; Duane, Aaron; Dang Nguyen, Duc Tien; Riegler, Michael; Piras, Luca; Tran, Minh-Triet; Lokoc, Jakub; Hurst, Wolfgang
Peer reviewed, Journal article
Published version
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URI
http://hdl.handle.net/1956/23844
Date
2019
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  • Department of Information Science and Media Studies [601]
Original version
https://doi.org/10.3169/mta.7.46
Abstract
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.
Publisher
The Institute of Image Information and Television Engineers
Journal
ITE Transactions on Media Technology and Applications
Copyright
Copyright 2019 by ITE Transactions on Media Technology and Applications (MTA)

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