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dc.contributor.authorHoiem, Derek
dc.contributor.authorHays, James
dc.contributor.authorXiao, Jianxiong
dc.contributor.authorKhosla, Aditya
dc.date.accessioned2016-09-30T21:59:56Z
dc.date.available2016-09-30T21:59:56Z
dc.date.issued2015-03
dc.identifier.issn0920-5691
dc.identifier.issn1573-1405
dc.identifier.urihttp://hdl.handle.net/1721.1/104633
dc.description.abstractScene 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.en_US
dc.publisherSpringer USen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s11263-015-0807-zen_US
dc.rightsArticle 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.en_US
dc.sourceSpringer USen_US
dc.titleGuest Editorial: Scene Understandingen_US
dc.typeArticleen_US
dc.identifier.citationHoiem, Derek et al. “Guest Editorial: Scene Understanding.” International Journal of Computer Vision 112.2 (2015): 131–132.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorKhosla, Aditya
dc.relation.journalInternational Journal of Computer Visionen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2016-05-23T12:14:40Z
dc.language.rfc3066en
dc.rights.holderSpringer Science+Business Media New York
dspace.orderedauthorsHoiem, Derek; Hays, James; Xiao, Jianxiong; Khosla, Adityaen_US
dspace.embargo.termsNen
dc.identifier.orcidhttps://orcid.org/0000-0002-0007-3352
mit.licensePUBLISHER_POLICYen_US


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