Comparing approaches to interactive lifelog search at the Lifelog Search challenge (LSC2018)
Publication date
2019-01-01
Authors
Gurrin, Cathal
Schoeffmann, Klaus
Joho, Hideo
Leibetseder, Andreas
Zhou, Liting
Duane, Aaron
Dang-Nguyen, Duc Tien
Riegler, Michael
Piras, Luca
Lokoč, Jakub
Editors
Advisors
Supervisors
Document Type
Article
Metadata
Show full item recordCollections
License
taverne
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, sum-marise 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.
Keywords
Collaborative benchmarking, Evaluation, Interactive retrieval, Lifelog, Taverne, Signal Processing, Media Technology, Computer Graphics and Computer-Aided Design
Citation
Gurrin, C, Schoeffmann, K, Joho, H, Leibetseder, A, Zhou, L, Duane, A, Dang-Nguyen, D T, Riegler, M, Piras, L, Lokoč, J & Hürst, W 2019, 'Comparing approaches to interactive lifelog search at the Lifelog Search challenge (LSC2018)', ITE Transactions on Media Technology and Applications, vol. 7, no. 2, pp. 46-59. https://doi.org/10.3169/mta.7.46