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ORCID: https://orcid.org/0000-0002-0397-894X, Kavallieratou, Ergina, Blanco Adán, Carlos Roberto del
ORCID: https://orcid.org/0000-0003-0618-3488, Cuevas Rodríguez, Carlos
ORCID: https://orcid.org/0000-0001-9873-8502, Vasillopoulos, Nikos and Karampidis, Konstantinos
(2019).
ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications.
En: "41st European Conference on Information Retrieval (ECIR 2019)", 14/04/2019 - 18/04/2019, Cologne, Germany. pp. 301-308.
https://doi.org/10.1007/978-3-030-15719-7_40.
| Título: | ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 41st European Conference on Information Retrieval (ECIR 2019) |
| Fechas del Evento: | 14/04/2019 - 18/04/2019 |
| Lugar del Evento: | Cologne, Germany |
| Título del Libro: | Lecture Notes in Computer Science |
| Fecha: | 2019 |
| Volumen: | 11438 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Lifelogging retrieval and summarization; Medical retrieval; Coral image segmentation and classification; File forgery detection; ImageCLEF benchmarking; Annotated datasets |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Señales, Sistemas y Radiocomunicaciones |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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This 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.
| ID de Registro: | 65256 |
|---|---|
| Identificador DC: | https://oa.upm.es/65256/ |
| Identificador OAI: | oai:oa.upm.es:65256 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/5658568 |
| Identificador DOI: | 10.1007/978-3-030-15719-7_40 |
| URL Oficial: | https://link.springer.com/chapter/10.1007/978-3-03... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 25 Abr 2021 06:49 |
| Ultima Modificación: | 12 Nov 2025 00:00 |
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