MediaEval 2018: Predicting Media Memorability

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorCohendet, Romainen_US
dc.contributor.authorDemarty, Claire-Hélèneen_US
dc.contributor.authorDuong, Ngoc Q.K.en_US
dc.contributor.authorSjöberg, Matsen_US
dc.contributor.authorIonescu, Bogdanen_US
dc.contributor.authorDo, Thanh Toanen_US
dc.contributor.departmentDepartment of Computer Scienceen
dc.contributor.groupauthorProfessorship Kaski Samuelen
dc.contributor.organizationTechnicoloren_US
dc.contributor.organizationUniversity Politehnica of Bucharesten_US
dc.contributor.organizationUniversity of Adelaideen_US
dc.date.accessioned2019-01-14T09:22:24Z
dc.date.available2019-01-14T09:22:24Z
dc.date.issued2018en_US
dc.description| openaire: EC/H2020/780069/EU//MeMAD
dc.description.abstractIn this paper, we present the Predicting Media Memorability task, which is proposed as part of the MediaEval 2018 Benchmarking Initiative for Multimedia Evaluation. Participants are expected to design systems that automatically predict memorability scores for videos, which reflect the probability of a video being remembered. In contrast to previous work in image memorability prediction, where memorability was measured a few minutes after memorization, the proposed dataset comes with "short-term" and "long-term" memorability annotations. All task characteristics are described, namely: the task’s challenges and breakthrough, the released data set and ground truth, the required runs and the evaluation metrics.en
dc.description.versionPeer revieweden
dc.format.extent3
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationCohendet, R, Demarty, C-H, Duong, N Q K, Sjöberg, M, Ionescu, B & Do, T T 2018, MediaEval 2018: Predicting Media Memorability. in MediaEval 2018 - Multimedia Benchmark Workshop : Working Notes Proceedings of the MediaEval 2018 Workshop, Sophia, Antipolis, France, 29-31 October 2018. CEUR Workshop Proceedings, vol. 2283, CEUR, Multimedia Benchmark Workshop, Sophia Antipolis, France, 29/10/2018.en
dc.identifier.issn1613-0073
dc.identifier.otherPURE UUID: 742323b9-ae3c-46bb-8980-25438cbdb6c4en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/742323b9-ae3c-46bb-8980-25438cbdb6c4en_US
dc.identifier.otherPURE LINK: http://ceur-ws.org/Vol-2283/en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/31097116/MediaEval_18_paper_1.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/35980
dc.identifier.urnURN:NBN:fi:aalto-201901141163
dc.language.isoenen
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/780069/EU//MeMADen_US
dc.relation.ispartofMultimedia Benchmark Workshopen
dc.relation.ispartofseriesMediaEval 2018 - Multimedia Benchmark Workshop: Working Notes Proceedings of the MediaEval 2018 Workshop, Sophia, Antipolis, France, 29-31 October 2018en
dc.relation.ispartofseriesCEUR Workshop Proceedings ; Volume 2283en
dc.rightsopenAccessen
dc.titleMediaEval 2018: Predicting Media Memorabilityen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionpublishedVersion

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