Computer vision on tap

We demonstrate a concept of computer vision as a secure, live service on the Internet. We show a platform to distribute a real time vision algorithm using simple widely available Web technologies, such as Adobe Flash. We allow a user to access this service without downloading an executable or sharin...

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Main Authors: Chiu, Kevin Geeyoung, Raskar, Ramesh
Other Authors: Massachusetts Institute of Technology. Media Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2010
Online Access:http://hdl.handle.net/1721.1/58957
https://orcid.org/0000-0002-3254-3224
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author Chiu, Kevin Geeyoung
Raskar, Ramesh
author2 Massachusetts Institute of Technology. Media Laboratory
author_facet Massachusetts Institute of Technology. Media Laboratory
Chiu, Kevin Geeyoung
Raskar, Ramesh
author_sort Chiu, Kevin Geeyoung
collection MIT
description We demonstrate a concept of computer vision as a secure, live service on the Internet. We show a platform to distribute a real time vision algorithm using simple widely available Web technologies, such as Adobe Flash. We allow a user to access this service without downloading an executable or sharing the image stream with anyone. We support developers to publish without distribution complexity. Finally the platform supports user-permitted aggregation of data for computer vision research or analysis. We describe results for a simple distributed motion detection algorithm. We discuss future scenarios for organically extending the horizon of computer vision research.
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spelling mit-1721.1/589572022-10-01T08:50:14Z Computer vision on tap Chiu, Kevin Geeyoung Raskar, Ramesh Massachusetts Institute of Technology. Media Laboratory Raskar, Ramesh Chiu, Kevin Geeyoung Raskar, Ramesh We demonstrate a concept of computer vision as a secure, live service on the Internet. We show a platform to distribute a real time vision algorithm using simple widely available Web technologies, such as Adobe Flash. We allow a user to access this service without downloading an executable or sharing the image stream with anyone. We support developers to publish without distribution complexity. Finally the platform supports user-permitted aggregation of data for computer vision research or analysis. We describe results for a simple distributed motion detection algorithm. We discuss future scenarios for organically extending the horizon of computer vision research. 2010-10-07T20:57:09Z 2010-10-07T20:57:09Z 2009-08 2009-06 Article http://purl.org/eprint/type/JournalArticle 978-1-4244-3994-2 INSPEC Accession Number: 10836267 http://hdl.handle.net/1721.1/58957 Chiu, K., and R. Raskar. “Computer vision on tap.” Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on. 2009. 31-38. © Copyright 2009 IEEE https://orcid.org/0000-0002-3254-3224 en_US http://dx.doi.org/10.1109/CVPR.2009.5204229 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2009 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers IEEE
spellingShingle Chiu, Kevin Geeyoung
Raskar, Ramesh
Computer vision on tap
title Computer vision on tap
title_full Computer vision on tap
title_fullStr Computer vision on tap
title_full_unstemmed Computer vision on tap
title_short Computer vision on tap
title_sort computer vision on tap
url http://hdl.handle.net/1721.1/58957
https://orcid.org/0000-0002-3254-3224
work_keys_str_mv AT chiukevingeeyoung computervisionontap
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