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Visipedia circa 2015

Belongie, Serge and Perona, Pietro (2016) Visipedia circa 2015. Pattern Recognition Letters, 72 . pp. 15-24. ISSN 0167-8655.

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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.

Item Type:Article
Related URLs:
URLURL TypeDescription
Belongie, Serge0000-0002-0388-5217
Perona, Pietro0000-0002-7583-5809
Additional Information:© 2015 Elsevier B.V. Received 29 June 2015, Accepted 21 November 2015, Available online 10 December 2015. Special Issue on ICPR 2014 Awarded Papers.
Subject Keywords:Visipedia; Visual recognition; Human-machine interaction; Machine learning; Active learning; Wikipedia; Visual psychology; Crowdsourcing; Computer Vision
Record Number:CaltechAUTHORS:20160415-075316392
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Official Citation:Serge Belongie, Pietro Perona, Visipedia circa 2015, Pattern Recognition Letters, Volume 72, 1 March 2016, Pages 15-24, ISSN 0167-8655, (
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:66202
Deposited By: Tony Diaz
Deposited On:16 Apr 2016 17:43
Last Modified:09 Mar 2020 13:18

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