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...

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Publicado en:Communications of the ACM Vol. 57; no. 11; pp. 68 - 78
Autores principales: GOULD, STEPHEN, XUMING HE
Formato: Artículo
Publicado: Association for Computing Machinery Nov2014
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        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
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          year: 2014
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