Agritrop
Accueil

LifeCLEF 2017 lab overview: Multimedia species identification challenges

Joly Alexis, Goeau Hervé, Glotin Hervé, Spampinato Concetto, Bonnet Pierre, Vellinga Willem-Pier, Lombardo Jean-Christophe, Planqué Robert, Palazzo Simone, Müller Henning. 2017. LifeCLEF 2017 lab overview: Multimedia species identification challenges. In : Experimental IR meets multilinguality, multimodality, and interaction. Jones Gareth.J.F. (ed.), Lawless Séamus (ed.), Gonzalo Julio (ed.), Kelly Liadh (ed.), Goeuriot Lorraine (ed.), Mandl Thomas (ed.), Cappellato Linda (ed.), Ferro Nicola (ed.). Cham : Springer International Publishing, 255-274. (Lecture Notes in Computer Science, 10456, 10456) ISBN 978-3-319-65813-1 International Conference of the CLEF Association. 8, Dublin, Irlande, 11 Septembre 2017/24 Septembre 2017.

Communication avec actes ; Article de synthèse
[img] Version post-print - Anglais
Accès réservé aux personnels Cirad
Utilisation soumise à autorisation de l'auteur ou du Cirad.
Lifeclef2017.pdf

Télécharger (694kB) | Demander une copie
[img] Version publiée - Anglais
Accès réservé aux personnels Cirad
Utilisation soumise à autorisation de l'auteur ou du Cirad.
ID585559.pdf

Télécharger (7MB) | Demander une copie

Résumé : Automated multimedia identification tools are an emerging solution towards building accurate knowledge of the identity, the geographic distribution and the evolution of living plants and animals. Large and structured communities of nature observers as well as big monitoring equipment have actually started to produce outstanding collections of multimedia records. Unfortunately, the performance of the state-of-the-art analysis techniques on such data is still not well understood and far from reaching real world requirements. The LifeCLEF lab proposes to evaluate these challenges around 3 tasks related to multimedia information retrieval and fine-grained classification problems in 3 domains. Each task is based on large volumes of real-world data and the measured challenges are defined in collaboration with biologists and environmental stakeholders to reflect realistic usage scenarios. For each task, we report the methodology, the data sets as well as the results and the main outcomes.

Classification Agris : U30 - Méthodes de recherche
C30 - Documentation et information
F70 - Taxonomie végétale et phytogéographie
L60 - Taxonomie et géographie animales

Auteurs et affiliations

  • Joly Alexis, INRIA (FRA)
  • Goeau Hervé, CIRAD-BIOS-UMR AMAP (FRA)
  • Glotin Hervé, Université de Toulon et du Var (FRA)
  • Spampinato Concetto, University of Catania (ITA)
  • Bonnet Pierre, CIRAD-BIOS-UMR AMAP (FRA) ORCID: 0000-0002-2828-4389
  • Vellinga Willem-Pier, HES (CHE)
  • Lombardo Jean-Christophe, INRIA (FRA)
  • Planqué Robert, Xeno-canto foundation (NLD)
  • Palazzo Simone, University of Catania (ITA)
  • Müller Henning, HES (CHE)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/585559/)

Voir la notice (accès réservé à Agritrop) Voir la notice (accès réservé à Agritrop)

[ Page générée et mise en cache le 2023-12-25 ]