Vis enkel innførsel

dc.contributor.authorIonescu, Bogdan
dc.contributor.authorMüller, Henning
dc.contributor.authorPeteri, Renaud
dc.contributor.authorDang Nguyen, Duc Tien
dc.contributor.authorPiras, Luca
dc.contributor.authorRiegler, Michael
dc.contributor.authorTran, Minh Triet
dc.contributor.authorLux, Mathias
dc.contributor.authorGurrin, Cathal
dc.contributor.authorCid, Yashin Dicente
dc.contributor.authorLiauchuk, Vitali
dc.contributor.authorKovalev, Vassili
dc.contributor.authorBen Abacha, Asma
dc.contributor.authorHasan, Sadid A.
dc.contributor.authorDatla, Vivek
dc.contributor.authorLiu, Joey
dc.contributor.authorDemner-Fushman, Dina
dc.contributor.authorPelka, Obioma
dc.contributor.authorFriedrich, C.
dc.contributor.authorChamberlain, Jon
dc.contributor.authorClark, Adrian
dc.contributor.authorde Herrera, Alba Garcia Seco
dc.contributor.authorGarcia, Narciso
dc.contributor.authorKavallieratou, Ergina
dc.contributor.authordel Blanco, Carlos Roberto
dc.contributor.authorRodriguez, Carlos Cuevas
dc.contributor.authorVasillopoulos, Nikos
dc.contributor.authorKarampidis, Konstantinos
dc.contributor.editorAzzopardi, Leif
dc.contributor.editorStein, Benno
dc.contributor.editorFuhr, Norbert
dc.contributor.editorMayr, Philipp
dc.contributor.editorHauff, Claudia
dc.contributor.editorHiemstra, Djoerd
dc.date.accessioned2020-07-03T08:55:17Z
dc.date.available2020-07-03T08:55:17Z
dc.date.issued2019
dc.PublishedIonescu B. et al. (2019) ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications. In: Azzopardi L., Stein B., Fuhr N., Mayr P., Hauff C., Hiemstra D. (eds) Advances in Information Retrieval. ECIR 2019. Lecture Notes in Computer Science, vol 11438. Springer, Chameng
dc.identifier.issn1611-3349
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/1956/23300
dc.description.abstractThis paper presents an overview of the foreseen ImageCLEF 2019 lab that will be organized as part of the Conference and Labs of the Evaluation Forum - CLEF Labs 2019. ImageCLEF is an ongoing evaluation initiative (started in 2003) that promotes the evaluation of technologies for annotation, indexing and retrieval of visual data with the aim of providing information access to large collections of images in various usage scenarios and domains. In 2019, the 17th edition of ImageCLEF will run four main tasks: (i) a Lifelog task (videos, images and other sources) about daily activities understanding, retrieval and summarization, (ii) a Medical task that groups three previous tasks (caption analysis, tuberculosis prediction, and medical visual question answering) with newer data, (iii) a new Coral task about segmenting and labeling collections of coral images for 3D modeling, and (iv) a new Security task addressing the problems of automatically identifying forged content and retrieve hidden information. The strong participation, with over 100 research groups registering and 31 submitting results for the tasks in 2018 shows an important interest in this benchmarking campaign and we expect the new tasks to attract at least as many researchers for 2019.en_US
dc.language.isoengeng
dc.publisherSpringereng
dc.relation.ispartofseriesLecture Notes in Computer Scienceen_US
dc.titleImageCLEF 2019: Multimedia retrieval in lifelogging, medical, nature, and security applicationseng
dc.typeChapteren_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.date.updated2020-01-23T07:55:11Z
dc.description.versionacceptedVersion
dc.rights.holderCopyright Springer Nature Switzerland AG 2019en_US
dc.identifier.doihttps://doi.org/10.1007/978-3-030-15719-7_40
dc.identifier.cristin1708232
dc.source.journalLecture Notes in Computer Science (LNCS)


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel