Skip to main content

Guest Editorial: Scene Understanding

Author(s): Hoiem, Derek; Hays, James; Xiao, Jianxiong; Khosla, Aditya

Download
To refer to this page use: http://arks.princeton.edu/ark:/88435/pr1bk11
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHoiem, Derek-
dc.contributor.authorHays, James-
dc.contributor.authorXiao, Jianxiong-
dc.contributor.authorKhosla, Aditya-
dc.date.accessioned2021-10-08T19:49:13Z-
dc.date.available2021-10-08T19:49:13Z-
dc.date.issued2015en_US
dc.identifier.citationHoiem, Derek, James Hays, Jianxiong Xiao, and Aditya Khosla. "Guest Editorial: Scene Understanding." International Journal of Computer Vision 112, no. 2 (2015): pp. 131-132. doi:10.1007/s11263-015-0807-zen_US
dc.identifier.issn0920-5691-
dc.identifier.urihttps://dspace.mit.edu/bitstream/handle/1721.1/104633/11263_2015_807_ReferencePDF.pdf?sequence=2&isAllowed=y-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1bk11-
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.format.extent131 - 132en_US
dc.language.isoen_USen_US
dc.relation.ispartofInternational Journal of Computer Visionen_US
dc.rightsAuthor's manuscripten_US
dc.titleGuest Editorial: Scene Understandingen_US
dc.typeJournal Articleen_US
dc.identifier.doi10.1007/s11263-015-0807-z-
dc.identifier.eissn1573-1405-
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

Files in This Item:
File Description SizeFormat 
GuestEditorialSceneUnderstanding.pdf154.35 kBAdobe PDFView/Download


Items in OAR@Princeton are protected by copyright, with all rights reserved, unless otherwise indicated.