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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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Published in:Communications of the ACM Vol. 57; no. 11; pp. 68 - 78
Main Authors: GOULD, STEPHEN, XUMING HE
Format: Article
Published: Association for Computing Machinery Nov2014
Subjects:
Pixels
Digital images
Image processing
Computer programming
Artificial intelligence
Computer vision
Markov random fields
Online Access:View this record in EBSCOhost
Summary: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.