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dc.contributor.authorVan, Tu-ninh
dc.contributor.authorLe, Tu-Khiem
dc.contributor.authorZhou, Liting
dc.contributor.authorPiras, Luca
dc.contributor.authorRiegler, Michael
dc.contributor.authorLux, Mathias
dc.contributor.authorTran, Minh-Triet
dc.contributor.authorGurrin, Cathal
dc.contributor.authorDang Nguyen, Duc Tien
dc.date.accessioned2020-08-12T11:12:08Z
dc.date.available2020-08-12T11:12:08Z
dc.date.issued2019
dc.identifier.issn1613-0073
dc.identifier.urihttp://hdl.handle.net/1956/23682
dc.description.abstractThis paper describes the participation of the Organiser Team in the ImageCLEFlifelog 2019 Solve My Life Puzzle (Puzzle) and Lifelog Moment Retrieval (LMRT) tasks. We proposed to use LIFER 2.0, an enhanced version of LIFER, which was an interactive retrieval system for personal lifelog data. We utilised LIFER 2.0 with some additional visual features, obtained by using traditional visual bag-of-words, to solve the Puzzle task, while with the LMRT, we applied LIFER 2.0 only with the provided information. The results on both tasks confirmed that by using faceted filter and context browsing, a user can gain insights from their personal lifelog by employing very simple interactions. These results also serve as baselines for other approaches in the ImageCLEFlifelog 2019 challenge to compare with.en_US
dc.language.isoengeng
dc.publisherCEUReng
dc.rightsAttribution CC BYeng
dc.rights.urihttp://creativecommons.org/licenses/by/4.0eng
dc.titleLIFER 2.0: Discovering Personal Lifelog Insights using an Interactive Lifelog Retrieval Systemeng
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.date.updated2020-01-23T09:43:40Z
dc.description.versionpublishedVersion
dc.rights.holderCopyright 2019 The Author(s)en_US
dc.source.articlenumber157
dc.identifier.cristin1780642
dc.source.journalCEUR Workshop Proceedings
dc.identifier.citationCEUR Workshop Proceedings. 2019;2380, 157.
dc.source.volume2380


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