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General Overview of ImageCLEF at the CLEF 2016 Labs

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General Overview of ImageCLEF at the CLEF 2016 Labs

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dc.contributor.author Villegas, Mauricio es_ES
dc.contributor.author Mueller, Henning es_ES
dc.contributor.author Seco de Herrera, Alba Garcia es_ES
dc.contributor.author Schaer, Roger es_ES
dc.contributor.author Bromuri, Stefano es_ES
dc.contributor.author Gilbert, Andrew es_ES
dc.contributor.author Piras, Luca es_ES
dc.contributor.author Wang, Josiah es_ES
dc.contributor.author Yan, Fei es_ES
dc.contributor.author Ramisa, Arnau es_ES
dc.contributor.author Dellandrea, Emmanuel es_ES
dc.contributor.author Gaizauskas, Robert es_ES
dc.contributor.author Mikolajczyk, Krystian es_ES
dc.contributor.author Puigcerver I Pérez, Joan es_ES
dc.contributor.author Toselli, Alejandro Héctor es_ES
dc.contributor.author Sánchez Peiró, Joan Andreu
dc.contributor.author Vidal Ruiz, Enrique
dc.date.accessioned 2017-06-07T09:09:46Z
dc.date.available 2017-06-07T09:09:46Z
dc.date.issued 2016
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10251/82499
dc.description The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-44564-9_25 es_ES
dc.description.abstract This paper presents an overview of the ImageCLEF 2016 evaluation campaign, an event that was organized as part of the CLEF (Conference and Labs of the Evaluation Forum) labs 2016. ImageCLEF is an ongoing initiative that promotes the evaluation of technologies for annotation, indexing and retrieval for providing information access to collections of images in various usage scenarios and domains. In 2016, the 14th edition of ImageCLEF, three main tasks were proposed: 1) identification, multi-label classification and separation of compound figures from biomedical literature; 2) automatic annotation of general web images; and 3) retrieval from collections of scanned handwritten documents. The handwritten retrieval task was the only completely novel task this year, although the other two tasks introduced several modifications to keep the proposed tasks challenging. es_ES
dc.description.sponsorship The general coordination and the handwritten retrieval task have been supported by the European Union (EU) Horizon 2020 grant READ (Recognition and Enrichment of Archival Documents) (Ref: 674943), EU project HIMANIS (JPICH programme, Spanish grant Ref: PCIN-2015-068) and MINECO/FEDER, UE under project TIN2015-70924-C2-1-R. The image annotation task is co-organized by the VisualSense (ViSen) consortium under the ERA-NET CHIST-ERA D2K 2011 Programme, jointly supported by UK EPSRC Grants EP/K01904X/1 and EP/K019082/1, French ANR Grant ANR-12-CHRI-0002-04 and Spanish MINECO Grant PCIN-2013-047. This research was supported in part by the Intramural Research Program of the National Institutes of Health (NIH), National Library of Medicine (NLM), and Lister Hill National Center for Biomedical Communications (LHNCBC). es_ES
dc.format.extent 19 es_ES
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Experimental IR Meets Multilinguality, Multimodality, and Interaction es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;9822
dc.rights Reserva de todos los derechos es_ES
dc.subject ImageCLEF es_ES
dc.subject CLEF labs es_ES
dc.subject Evaluation campaign es_ES
dc.subject Compound figures from biomedical literature es_ES
dc.subject Image annotation es_ES
dc.subject Handwritten retrieval es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title General Overview of ImageCLEF at the CLEF 2016 Labs es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.1007/978-3-319-44564-9_25
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/674943/EU/Recognition and Enrichment of Archival Documents/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//PCIN-2013-037/ES/RETHINKING THE ESSENCE, FLEXIBILITY AND REUSABILITY OF ADVANCED MODEL EXPLOITATION/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/ANR//ANR-12-CHRI-0002/FR/Annotation de données visuelles avec des descriptions sémantiques/ViSen/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UKRI//EP%2FK019082%2F1/GB/VisualSense/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UKRI//EP%2FK01904X%2F1/GB/Visual Sense. Tagging visual data with semantic descriptions/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2015-70924-C2-1-R/ES/CONTEXTO, MULTIMODALIDAD Y COLABORACION DEL USUARIO EN PROCESADO DE TEXTO MANUSCRITO/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//PCIN-2013-047/ES/VISUAL SENSE, ETIQUETADO DE INFORMACION VISUAL CON DESCRIPCIONES SEMANTICAS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Villegas, M.; Mueller, H.; Seco De Herrera, AG.; Schaer, R.; Bromuri, S.; Gilbert, A.; Piras, L.... (2016). General Overview of ImageCLEF at the CLEF 2016 Labs. En Experimental IR Meets Multilinguality, Multimodality, and Interaction. Springer Verlag (Germany). 267-285. https://doi.org/10.1007/978-3-319-44564-9_25 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencedate Sept 5-8, 2016 es_ES
dc.relation.conferenceplace 7th International Conference of the CLEF-Association (CLEF) es_ES
dc.relation.publisherversion https://link.springer.com/chapter/10.1007/978-3-319-44564-9_25 es_ES
dc.description.upvformatpinicio 267 es_ES
dc.description.upvformatpfin 285 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.senia 316678 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder UK Research and Innovation es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Engineering and Physical Sciences Research Council, Reino Unido es_ES
dc.contributor.funder Agence Nationale de la Recherche, Francia es_ES
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