LifeCLEF 2016: Multimedia Life Species Identification Challenges

Alexis Joly (1) , Hervé Goëau (1) , Hervé Glotin (2) , Concetto Spampinato (3) , Pierre Bonnet (4, 5) , Willem-Pier Vellinga (6) , Julien Champ (7) , Robert Planqué (8) , Simone Palazzo (3) , Henning Müller (9)

1 ZENITH - Scientific Data Management
2 UTLN - Université de Toulon
3 DIIT - Dipartimento di Ingegneria Informatica e delle Telecomunicazioni [University of Catania]
4 Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement
5 UMR AMAP - Botanique et Modélisation de l'Architecture des Plantes et des Végétations
6 Xeno-canto foundation
7 INRA - Institut National de la Recherche Agronomique
8 Department of Mathematics [Amsterdam]
9 HES-SO - Haute Ecole Spécialisée de Suisse Occidentale

Using multimedia identification tools is considered as one of the most promising solutions to help bridge the taxonomic gap and build accurate knowledge of the identity, the geographic distribution and the evolution of living species. Large and structured communities of nature observers (e.g., iSpot, Xeno-canto, Tela Botanica, etc.) 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 is 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 outcome

Domaines: Informatique [cs]

Alexis Joly, Hervé Goëau, Hervé Glotin, Concetto Spampinato, Pierre Bonnet, et al.. LifeCLEF 2016: Multimedia Life Species Identification Challenges. CLEF: Cross-Language Evaluation Forum, Sep 2016, Évora, Portugal. pp.286-310, ⟨10.1007/978-3-319-44564-9_26⟩. ⟨hal-01373781⟩