TY - GEN
T1 - LifeCLEF 2016
T2 - 7th International Conference of the CLEF Association, CLEF 2016
AU - Joly, Alexis
AU - Goëau, Hervè
AU - Glotin, Hervè
AU - Spampinato, Concetto
AU - Bonnet, Pierre
AU - Vellinga, Willem Pier
AU - Champ, Julien
AU - Planquè, Robert
AU - Palazzo, Simone
AU - Müller, Henning
PY - 2016/1/1
Y1 - 2016/1/1
N2 - 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 outcomes.
AB - 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 outcomes.
UR - https://www.scopus.com/pages/publications/84984824058
UR - https://www.scopus.com/pages/publications/84984824058#tab=citedBy
U2 - 10.1007/978-3-319-44564-9_26
DO - 10.1007/978-3-319-44564-9_26
M3 - Conference contribution
AN - SCOPUS:84984824058
SN - 9783319445632
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 286
EP - 310
BT - Experimental IR Meets Multilinguality, Multimodality, and Interaction - 7th International Conference of the CLEF Association, CLEF 2016, Proceedings
A2 - Larsen, Birger
A2 - Cappellato, Linda
A2 - Ferro, Nicola
A2 - Fuhr, Norbert
A2 - Balog, Krisztian
A2 - Macdonald, Craig
A2 - Quaresma, Paulo
A2 - Gonçalves, Teresa
PB - Springer Verlag
Y2 - 5 September 2016 through 8 September 2016
ER -