TY - GEN
T1 - LifeCLEF 2015: Multimedia Life Species Identification Challenges
AU - Joly, Alexis
AU - Goëau, Hervé
AU - Glotin, Hervé
AU - Spampinato, Concetto
AU - Bonnet, Pierre
AU - Vellinga, Willem-Pier
AU - Planqué, Robert
AU - Rauber, Andreas
AU - Palazzo, Simone
AU - Fisher, Bob
AU - Müller, Henning
PY - 2015
Y1 - 2015
N2 - Using multimedia identification tools is considered as one of the most promising solutions to help bridging 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. eBird, Xeno-canto, Tela Botanica, etc.) as well as big monitoring equipments 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 the real world’s requirements. The LifeCLEF lab proposes to evaluate these challenges around 3 tasks related to multimedia information retrieval and fine-grained classification problems in 3 living worlds. Each task is based on large and real-world data and the measured challenges are defined in collaboration with biologists and environmental stakeholders in order to reflect realistic usage scenarios. This paper presents more particularly the 2015 edition of LifeCLEF. For each of the three tasks, we report the methodology and the data sets as well as the raw results and the main outcomes.
AB - Using multimedia identification tools is considered as one of the most promising solutions to help bridging 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. eBird, Xeno-canto, Tela Botanica, etc.) as well as big monitoring equipments 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 the real world’s requirements. The LifeCLEF lab proposes to evaluate these challenges around 3 tasks related to multimedia information retrieval and fine-grained classification problems in 3 living worlds. Each task is based on large and real-world data and the measured challenges are defined in collaboration with biologists and environmental stakeholders in order to reflect realistic usage scenarios. This paper presents more particularly the 2015 edition of LifeCLEF. For each of the three tasks, we report the methodology and the data sets as well as the raw results and the main outcomes.
U2 - 10.1007/978-3-319-24027-5_46
DO - 10.1007/978-3-319-24027-5_46
M3 - Conference contribution
SN - 978-3-319-24026-8
T3 - Lecture Notes in Computer Science
SP - 462
EP - 483
BT - Experimental IR Meets Multilinguality, Multimodality, and Interaction
A2 - Mothe, Josiane
A2 - Savoy, Jacques
A2 - Kamps, Jaap
A2 - Pinel-Sauvagnat, Karen
A2 - Jones, J.F. Gareth
A2 - SanJuan, Eric
A2 - Cappellato, Linda
A2 - Ferro, Nicola
PB - Springer
CY - Cham
ER -