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Are Species Identification Tools Biodiversity-friendly?

Published: 07 November 2014 Publication History

Abstract

This paper discusses the results of the LifeCLEF 2014 multimedia identification challenges with regards to the requirements of real-world ecological surveillance systems. In particular, we study the identification performances of the evaluated systems as a function of the ordinariness or rarity of the species in the dataset. This allows us to assess the ability of the underlying methods to be robust to heavily tailed distributions such as the ones encountered in real-world collections of life observations. Results show that all methods are more or less affected by the long-tail curse but that the best methods making use of classifiers with good discrimi- nation capacities do resist the phenomenon pretty well.

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  • (2015)Towards Automatic Large-Scale Identification of Birds in Audio RecordingsProceedings of the 6th International Conference on Experimental IR Meets Multilinguality, Multimodality, and Interaction - Volume 928310.1007/978-3-319-24027-5_39(364-375)Online publication date: 8-Sep-2015
  • (2014)Summary Abstract for the 3rd ACM International Workshop on Multimedia Analysis for Ecological DataProceedings of the 22nd ACM international conference on Multimedia10.1145/2647868.2647878(1261-1262)Online publication date: 3-Nov-2014

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cover image ACM Conferences
MAED '14: Proceedings of the 3rd ACM International Workshop on Multimedia Analysis for Ecological Data
November 2014
46 pages
ISBN:9781450331234
DOI:10.1145/2661821
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 07 November 2014

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Author Tags

  1. audio
  2. bird
  3. fish
  4. identification
  5. image
  6. life
  7. multimedia
  8. plant
  9. species
  10. video

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MM '14
Sponsor:
MM '14: 2014 ACM Multimedia Conference
November 7, 2014
Florida, Orlando, USA

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MAED '14 Paper Acceptance Rate 6 of 11 submissions, 55%;
Overall Acceptance Rate 13 of 23 submissions, 57%

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Cited By

View all
  • (2015)Towards Automatic Large-Scale Identification of Birds in Audio RecordingsProceedings of the 6th International Conference on Experimental IR Meets Multilinguality, Multimodality, and Interaction - Volume 928310.1007/978-3-319-24027-5_39(364-375)Online publication date: 8-Sep-2015
  • (2014)Summary Abstract for the 3rd ACM International Workshop on Multimedia Analysis for Ecological DataProceedings of the 22nd ACM international conference on Multimedia10.1145/2647868.2647878(1261-1262)Online publication date: 3-Nov-2014

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