Relevance feedback in biometric retrieval of animal photographs

Chelsea Finn, James Duyck, Andy Hutcheon, Pablo Vera, Joaquin Salas, Sai Ravela

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationPattern Recognition - 6th Mexican Conference, MCPR 2014, Proceedings
PublisherSpringer Verlag
Pages281-290
Number of pages10
ISBN (Print)9783319074900
DOIs
StatePublished - 2014
Event6th Mexican Conference on Pattern Recognition, MCPR 2014 - Cancun, Mexico
Duration: 25 Jun 201428 Jun 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8495 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th Mexican Conference on Pattern Recognition, MCPR 2014
Country/TerritoryMexico
CityCancun
Period25/06/1428/06/14

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