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Comparing Approaches to Interactive Lifelog Search at the Lifelog Search Challenge (LSC2018)

Authors: 

Cathal Gurrin, Klaus Schoeffmann, Hideo Joho, Andreas Leibetseder, Liting Zhou, Aaron Duane, Duc-Tien Dang-Nguyen, Michael Riegler, Luca Piras, Minh-Triet Tran, Jakub Loko, Wolfgang Hurst

Publication Type: 
Refereed Original Article
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.
Digital Object Identifer (DOI): 
10.NA
Publication Status: 
Published
Date Accepted for Publication: 
Friday, 15 March, 2019
Publication Date: 
19/03/2019
Journal: 
ITE Transactions on Media Technology and Applications
Research Group: 
Institution: 
Dublin City University (DCU)
Open access repository: 
Yes