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dc.contributor.authorNinh, Van-Tu
dc.contributor.authorLe, Tu-Khiem
dc.contributor.authorZhou, Liting
dc.contributor.authorPiras, Luca
dc.contributor.authorRiegler, Michael Alexander
dc.contributor.authorHalvorsen, Pål
dc.contributor.authorLux, Mathias
dc.contributor.authorTran, Minh-Triet
dc.contributor.authorGurrin, Cathal
dc.contributor.authorDang Nguyen, Duc Tien
dc.date.accessioned2021-06-22T11:03:08Z
dc.date.available2021-06-22T11:03:08Z
dc.date.created2021-01-28T14:19:12Z
dc.date.issued2020
dc.identifier.issn1613-0073
dc.identifier.urihttps://hdl.handle.net/11250/2760603
dc.description.abstractThis paper describes the fourth edition of Lifelog challenges in ImageCLEF 2020. In this edition, the Lifelog challenges consist of two tasks which are Lifelog Moments Retrieval (LMRT) and Sport Performance Lifelog (SPLL). While the Lifelog Moments Retrieval challenge follows the same format of the previous edition, its data is a larger multimodal dataset based on the merger of three previous NTCIR Lifelog datasets, which contain approximately 191,439 images with corresponding visual concepts and other related metadata. The Sport Performance Lifelog, which is a brand new challenge, is composed of three subtasks that focus on predicting the expected performance of athletes who trained for a sport event. In summary, the ImageCLEF Lifelog 2020 receives 50 runs from six teams in total with competitive results.en_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleOverview of ImageCLEF Lifelog 2020: Lifelog Moment Retrieval and Sport Performance Lifelogen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2020 The Authorsen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin1881331
dc.source.journalCEUR Workshop Proceedings, 2020, 2696en_US


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