Flower classification for a citizen science mobile app

ICMR 2014 - Proceedings of the ACM International Conference on Multimedia Retrieval 2014

Volumn , Issue , 2014, Pages 532-533

  Mattos, Andréa Britto ^a   Herrmann, Ricardo Guimarães ^a   Shigeno, Kelly Kiyumi ^a   Feris, Rogerio Schmidt ^b  

^a IBM RESEARCH   (United States)

^b IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIODIVERSITY;

BIODIVERSITY MONITORING; CITIZEN SCIENCE; CLASSIFICATION METHODS; FEATURE WEIGHTING; GEO-LOCATED IMAGES; METRIC LEARNING; MOBILE APP; SHAPE AND TEXTURES;

MOBILE DEVICES;

EID: 84899715121     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2578726.2582620     Document Type: Conference Paper

References (10)

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