DocumentCode
1507772
Title
Vision of a Visipedia
Author
Perona, Pietro
Author_Institution
California Inst. of Technol., Pasadena, CA, USA
Volume
98
Issue
8
fYear
2010
Firstpage
1526
Lastpage
1534
Abstract
The web is not perfect: while text is easily searched and organized, pictures (the vast majority of the bits that one can find online) are not. In order to see how one could improve the web and make pictures first-class citizens of the web, I explore the idea of Visipedia, a visual interface for Wikipedia that is able to answer visual queries and enables experts to contribute and organize visual knowledge. Five distinct groups of humans would interact through Visipedia: users, experts, editors, visual workers, and machine vision scientists. The latter would gradually build automata able to interpret images. I explore some of the technical challenges involved in making Visipedia happen. I argue that Visipedia will likely grow organically, combining state-of-the-art machine vision with human labor.
Keywords
Internet; Web sites; computer vision; human computer interaction; image retrieval; Visipedia Vision; Wikipedia; World Wide Web; first-class citizens; human labor; human-computer interaction; image interpretation; machine vision scientists; state-of-the-art machine vision; visual interface; visual knowledge; visual queries; visual workers; Computer vision; Engineering in medicine and biology; Humans; Image recognition; Learning automata; Machine learning; Machine vision; Marine vehicles; Videos; Web sites; Wikipedia; Crowdsourcing; Visipedia; Wikipedia; image understanding; machine learning; machine vision; visual recognition;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/JPROC.2010.2049621
Filename
5477158
Link To Document