Guest Editorial: Scene Understanding

Scene understanding is the ability to visually analyze a scene to answer questions such as: What is happening? Why is it happening? What will happen next? What should I do? For example, in the context of driving safety, the vision system would need to recognize nearby people and vehicles, anticipate...

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Opis bibliograficzny
Główni autorzy: Hoiem, Derek, Hays, James, Xiao, Jianxiong, Khosla, Aditya
Kolejni autorzy: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Artykuł
Język:English
Wydane: Springer US 2016
Dostęp online:http://hdl.handle.net/1721.1/104633
https://orcid.org/0000-0002-0007-3352
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author Hoiem, Derek
Hays, James
Xiao, Jianxiong
Khosla, Aditya
author2 Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
author_facet Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Hoiem, Derek
Hays, James
Xiao, Jianxiong
Khosla, Aditya
author_sort Hoiem, Derek
collection MIT
description Scene understanding is the ability to visually analyze a scene to answer questions such as: What is happening? Why is it happening? What will happen next? What should I do? For example, in the context of driving safety, the vision system would need to recognize nearby people and vehicles, anticipate their motions, infer traffic patterns, and detect road conditions. So far, research has focused on providing complete (e.g., every pixel labeled) or holistic (reasoning about several different scene elements) interpretations, often taking into account scene geometry or 3D spatial relationships.
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spelling mit-1721.1/1046332022-10-01T20:53:26Z Guest Editorial: Scene Understanding Hoiem, Derek Hays, James Xiao, Jianxiong Khosla, Aditya Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Khosla, Aditya Scene understanding is the ability to visually analyze a scene to answer questions such as: What is happening? Why is it happening? What will happen next? What should I do? For example, in the context of driving safety, the vision system would need to recognize nearby people and vehicles, anticipate their motions, infer traffic patterns, and detect road conditions. So far, research has focused on providing complete (e.g., every pixel labeled) or holistic (reasoning about several different scene elements) interpretations, often taking into account scene geometry or 3D spatial relationships. 2016-09-30T21:59:56Z 2016-09-30T21:59:56Z 2015-03 2016-05-23T12:14:40Z Article http://purl.org/eprint/type/JournalArticle 0920-5691 1573-1405 http://hdl.handle.net/1721.1/104633 Hoiem, Derek et al. “Guest Editorial: Scene Understanding.” International Journal of Computer Vision 112.2 (2015): 131–132. https://orcid.org/0000-0002-0007-3352 en http://dx.doi.org/10.1007/s11263-015-0807-z International Journal of Computer Vision 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. Springer Science+Business Media New York application/pdf Springer US Springer US
spellingShingle Hoiem, Derek
Hays, James
Xiao, Jianxiong
Khosla, Aditya
Guest Editorial: Scene Understanding
title Guest Editorial: Scene Understanding
title_full Guest Editorial: Scene Understanding
title_fullStr Guest Editorial: Scene Understanding
title_full_unstemmed Guest Editorial: Scene Understanding
title_short Guest Editorial: Scene Understanding
title_sort guest editorial scene understanding
url http://hdl.handle.net/1721.1/104633
https://orcid.org/0000-0002-0007-3352
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