Visipedia circa 2015
Research output: Contribution to journal › Journal article › Research › peer-review
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.
Original language | English |
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Journal | Pattern Recognition Letters |
Volume | 72 |
Pages (from-to) | 15-24 |
Number of pages | 10 |
ISSN | 0167-8655 |
DOIs | |
Publication status | Published - 1 Mar 2016 |
Externally published | Yes |
Bibliographical note
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.
- Active learning, Computer Vision, Crowdsourcing, Human-machine interaction, Machine learning, Visipedia, Visual psychology, Visual recognition, Wikipedia
Research areas
ID: 301828745