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...
Główni autorzy: | , , , |
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Format: | Artykuł |
Język: | English |
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Springer US
2016
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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. |
first_indexed | 2024-09-23T14:22:19Z |
format | Article |
id | mit-1721.1/104633 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T14:22:19Z |
publishDate | 2016 |
publisher | Springer US |
record_format | dspace |
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 |
work_keys_str_mv | AT hoiemderek guesteditorialsceneunderstanding AT haysjames guesteditorialsceneunderstanding AT xiaojianxiong guesteditorialsceneunderstanding AT khoslaaditya guesteditorialsceneunderstanding |