Visipedia circa 2015
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Visipedia circa 2015. / Belongie, Serge; Perona, Pietro.
In: Pattern Recognition Letters, Vol. 72, 01.03.2016, p. 15-24.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Visipedia circa 2015
AU - Belongie, Serge
AU - Perona, Pietro
N1 - Funding Information: We gratefully acknowledge funding from Google, from an ARO/JPL-NASA Stennis Grant NAS7.03001 and the ONR MURI Grant N00014-10-1-0933. Publisher Copyright: © 2015 Elsevier B.V. All rights reserved.
PY - 2016/3/1
Y1 - 2016/3/1
N2 - Visipedia is a network of people and machines designed to harvest and organize visual information and make it accessible to anyone who has a visual query. We discuss technical challenges arising from Visipedia and discuss their implications for pattern recognition, computer vision, machine learning and visual psychology. Amongst these are discovering visual information that is implicit in experts' brains and in crowds of people and estimating its accuracy. To motivate our thinking we explore a case study, an automated field guide to the birds of North America. We conclude by discussing research directions that are necessary to make progress on Visipedia. An important realisation is that the study of 'computer vision' and 'machine learning' has to be broadened to include the process of information discovery and the dynamic interaction of people and machines in this context. Human-machine systems with no oracle are now within the scope of pattern recognition, machine learning and computer vision.
AB - Visipedia is a network of people and machines designed to harvest and organize visual information and make it accessible to anyone who has a visual query. We discuss technical challenges arising from Visipedia and discuss their implications for pattern recognition, computer vision, machine learning and visual psychology. Amongst these are discovering visual information that is implicit in experts' brains and in crowds of people and estimating its accuracy. To motivate our thinking we explore a case study, an automated field guide to the birds of North America. We conclude by discussing research directions that are necessary to make progress on Visipedia. An important realisation is that the study of 'computer vision' and 'machine learning' has to be broadened to include the process of information discovery and the dynamic interaction of people and machines in this context. Human-machine systems with no oracle are now within the scope of pattern recognition, machine learning and computer vision.
KW - Active learning
KW - Computer Vision
KW - Crowdsourcing
KW - Human-machine interaction
KW - Machine learning
KW - Visipedia
KW - Visual psychology
KW - Visual recognition
KW - Wikipedia
UR - http://www.scopus.com/inward/record.url?scp=84961635328&partnerID=8YFLogxK
U2 - 10.1016/j.patrec.2015.11.023
DO - 10.1016/j.patrec.2015.11.023
M3 - Journal article
AN - SCOPUS:84961635328
VL - 72
SP - 15
EP - 24
JO - Pattern Recognition Letters
JF - Pattern Recognition Letters
SN - 0167-8655
ER -
ID: 301828745