Overview of ImageCLEF 2017: Information Extraction from Images - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

Overview of ImageCLEF 2017: Information Extraction from Images

Bogdan Ionescu
  • Fonction : Auteur
Henning Muller
  • Fonction : Auteur
Mauricio Villegas
  • Fonction : Auteur
Giulia Boato
  • Fonction : Auteur
Duc-Tien Dang-Nguyen
  • Fonction : Auteur
Yashin Dicente Cid
  • Fonction : Auteur
Carsten Eickhoff
  • Fonction : Auteur
Alba G. Seco de Herrera
  • Fonction : Auteur
Cathal Gurrin
  • Fonction : Auteur
Bayzidul Islam
  • Fonction : Auteur
Vassili Kovalev
  • Fonction : Auteur
Vitali Liauchuk
  • Fonction : Auteur
Luca Piras
  • Fonction : Auteur
Michael Riegler
  • Fonction : Auteur
Immanuel Schwall
  • Fonction : Auteur

Résumé

This paper presents an overview of the ImageCLEF 2017 evaluation campaign, an event that was organized as part of the CLEF (Conference and Labs of the Evaluation Forum) labs 2017. ImageCLEF is an ongoing initiative (started in 2003) 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 2017, the 15th edition of ImageCLEF, three main tasks were proposed and one pilot task: 1) a LifeLog task about searching in LifeLog data, so videos, images and other sources; 2) a caption prediction task that aims at predicting the caption of a figure from the biomedical literature based on the figure alone; 3) a tuberculosis task that aims at detecting the tuberculosis type from CT (Computed Tomography) volumes of the lung and also the drug resistance of the tuberculosis; and 4) a remote sensing pilot task that aims at predicting population density based on satellite images. The strong participation of over 150 research groups registering for the four tasks and 27 groups submitting results shows the interest in this benchmarking campaign despite the fact that all four tasks were new and had to create their own community

Mots clés

Fichier principal
Vignette du fichier
ionescu_19084.pdf (394.78 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01913658 , version 1 (06-11-2018)

Identifiants

  • HAL Id : hal-01913658 , version 1
  • OATAO : 19084

Citer

Bogdan Ionescu, Henning Muller, Mauricio Villegas, Helbert Arenas, Giulia Boato, et al.. Overview of ImageCLEF 2017: Information Extraction from Images. International Conference of the Cross-Language Evaluation Forum for European Languages (CLEF 2017), Sep 2017, Dublin, Ireland. pp. 315-337. ⟨hal-01913658⟩
50 Consultations
155 Téléchargements

Partager

Gmail Facebook X LinkedIn More