Paper Info
Title
LifeCLEF 2015: Multimedia Life Species Identification Challenges.
Abstract
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 three tasks related to multimedia information retrieval and fine-grained classification problems in three 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 2014 edition of LifeCLEF, i.e. the pilot one. For each of the three tasks, we report the methodology and the datasets as well as the official results and the main outcomes.
Year
DOI
Venue
2015
10.1007/978-3-319-24027-5_46
CLEF
Field
DocType
Volume
Geographic distribution,Data set,Fisher vector,Query expansion,Information retrieval,Computer science,Convolutional neural network,Multimedia information retrieval,Species identification,Multimedia
Conference
9283
ISSN
Citations 
PageRank 
0302-9743
15
0.86
References 
Authors
29
11
Name
Order
Citations
PageRank
Alexis Joly170664.19
Hervé Goëau220124.82
Hervé Glotin330945.05
Concetto Spampinato452158.13
Pierre Bonnet5299.32
Willem-Pier Vellinga6386.76
Robert Planquè7151.20
Andreas Rauber81925216.21
Simone Palazzo918321.22
Bob Fisher10191.67
Henning Müller111058.35