LifeCLEF 2014: Multimedia Life Species Identification Challenges

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• 作者：Alexis Joly (22)
  Hervé Go?au (23)
  Hervé Glotin (24)
  Concetto Spampinato (25)
  Pierre Bonnet (26)
  Willem-Pier Vellinga (27)
  Robert Planque (27)
  Andreas Rauber (28)
  Robert Fisher (29)
  Henning Müller (30)
  
• 刊名：Lecture Notes in Computer Science
• 出版年：2014
• 出版时间：2014
• 年：2014
• 卷：8685
• 期：1
• 页码：229-249
• 全文大小：1,620 KB
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• 作者单位：Alexis Joly (22)
  Hervé Go?au (23)
  Hervé Glotin (24)
  Concetto Spampinato (25)
  Pierre Bonnet (26)
  Willem-Pier Vellinga (27)
  Robert Planque (27)
  Andreas Rauber (28)
  Robert Fisher (29)
  Henning Müller (30)
  
  22. Inria, LIRMM, Montpellier, France
  23. Inria, Saclay, France
  24. IUF & Univ. de Toulon, France
  25. University of Catania, Italy
  26. CIRAD, France
  27. Xeno-canto foundation, The Netherlands
  28. Vienna Univ. of Tech., Austria
  29. Edinburgh Univ., UK
  30. HES-SO, Switzerland
  
• ISSN：1611-3349

文摘

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.