Scene Understanding by Labeling Pixels.
The article discusses the pixel-labeling or semantic-segmentation in programming computers to allow automatic interpretation of the image content. Topics discussed include the challenge in artificial intelligence and computer vision, hierarchical segmentation or scene parsing to produce refined view...
| Publicado en: | Communications of the ACM Vol. 57; no. 11; pp. 68 - 78 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Association for Computing Machinery
Nov2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=99078927&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 99078927 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Nov2014 vid: 57 iid: 11 pid: 68 pub: Association for Computing Machinery artinfo: ui: 99078927 10.1145/2629637 ppf: 68 ppct: 10 formats: tig: atl: Scene Understanding by Labeling Pixels. aug: au: GOULD, STEPHEN XUMING HE affil: Fellow (senior lecturer), Research School of Computer Science, College of Engineering and Computer Science, Australian National University, Canberra Visiting researcher, Machine Learning Research Group, National ICT Australia, Canberra Senior researcher, Computer Vision Research Group, National ICT Australia, Canberra Adjunct fellow (senior lecturer), Research School of Engineering, College of Engineering and Computer Science, Australian National University, Canberra su: Pixels Digital images Image processing Computer programming Artificial intelligence Computer vision Markov random fields sug: subj: Pixels Digital images Image processing Computer programming Artificial intelligence Computer vision Markov random fields ab: The article discusses the pixel-labeling or semantic-segmentation in programming computers to allow automatic interpretation of the image content. Topics discussed include the challenge in artificial intelligence and computer vision, hierarchical segmentation or scene parsing to produce refined view of the scene, the process in pixel labeling, probabilistic model known as conditional Markov random field (CRF) use in most methods for pixel labeling and partition function that ensures the probability distribution. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2014 holdings: @attributes: islocal: N |
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