TY - GEN
T1 - Relevance feedback in biometric retrieval of animal photographs
AU - Finn, Chelsea
AU - Duyck, James
AU - Hutcheon, Andy
AU - Vera, Pablo
AU - Salas, Joaquin
AU - Ravela, Sai
PY - 2014
Y1 - 2014
N2 - The characterization of individual animal life history is crucial for conservation efforts. In this paper, Sloop, an operational pattern retrieval engine for animal identification, is extended by coupling crowdsourcing with image retrieval. The coupled system delivers scalable performance by using aggregated computational inference to effectively deliver precision and by using human feedback to efficiently improve recall. To the best of our knowledge, this is the first coupled human-machine animal biometrics system, and results on multiple species indicate that it is a promising approach for large-scale use.
AB - The characterization of individual animal life history is crucial for conservation efforts. In this paper, Sloop, an operational pattern retrieval engine for animal identification, is extended by coupling crowdsourcing with image retrieval. The coupled system delivers scalable performance by using aggregated computational inference to effectively deliver precision and by using human feedback to efficiently improve recall. To the best of our knowledge, this is the first coupled human-machine animal biometrics system, and results on multiple species indicate that it is a promising approach for large-scale use.
UR - http://www.scopus.com/inward/record.url?scp=84904880379&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-07491-7_29
DO - 10.1007/978-3-319-07491-7_29
M3 - Contribución a la conferencia
SN - 9783319074900
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 281
EP - 290
BT - Pattern Recognition - 6th Mexican Conference, MCPR 2014, Proceedings
PB - Springer Verlag
T2 - 6th Mexican Conference on Pattern Recognition, MCPR 2014
Y2 - 25 June 2014 through 28 June 2014
ER -