Coverart for item
The Resource Markov random fields for vision and image processing, edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother

Markov random fields for vision and image processing, edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother

Label
Markov random fields for vision and image processing
Title
Markov random fields for vision and image processing
Statement of responsibility
edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother
Contributor
Subject
Genre
Language
eng
Summary
State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study
Member of
Cataloging source
N$T
Dewey number
006.3/70151
Illustrations
illustrations
Index
index present
LC call number
TA1637
LC item number
.M337 2011eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1956-
http://library.link/vocab/relatedWorkOrContributorName
  • Blake, Andrew
  • Kohli, Pushmeet
  • Rother, Carsten
http://library.link/vocab/subjectName
  • Image processing
  • Computer graphics
  • Computer vision
  • Markov random fields
  • COMPUTERS
  • Computer graphics
  • Image processing
  • Markov random fields
Label
Markov random fields for vision and image processing, edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Vladimir Kolmogorov
  • 3.
  • Optimizing Multilabel MRFs Using Move-Making Algorithms
  • Ramin Zabih
  • 4.
  • Optimizing Multilabel MRFs with Convex and Truncated Convex Priors
  • Olga Veksler
  • 5.
  • Loopy Belief Propagation, Mean Field Theory, and Bethe Approxlmations
  • Alan Yuille
  • Machine generated contents note:
  • 6.
  • Linear Programming and Variants of Belief Propagation
  • Talya Meltzer
  • II.
  • Applications of MRFs, Including Segmentation
  • 7.
  • Interactive Foreground Extraction: Using Graph Cut
  • Andrew Blake
  • 8.
  • Continuous-Valued MRF for Image Segmentation
  • 1.
  • Rene Vidal
  • 9.
  • Bilayer Segmentation of Video
  • Vladimir Kolmogorov
  • 10.
  • MRFs for Superresolution and Texture Synthesis
  • Ce Liu
  • 11.
  • Comparative Study of Energy Minimization Methods for MRFs
  • Introduction to Markov Random Fields
  • Pushmeet Kohli
  • I.
  • Algorithms for Inference of MAP Estimates for MRFs
  • 2.
  • Basic Graph Cut Algorithms
Control code
750172643
Dimensions
unknown
Extent
1 online resource (vii, 463 pages)
File format
unknown
Form of item
online
Isbn
9781283258654
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
3634472
Other physical details
illustrations
http://library.link/vocab/ext/overdrive/overdriveId
  • 8579
  • 9780262298353
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)750172643
Label
Markov random fields for vision and image processing, edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Vladimir Kolmogorov
  • 3.
  • Optimizing Multilabel MRFs Using Move-Making Algorithms
  • Ramin Zabih
  • 4.
  • Optimizing Multilabel MRFs with Convex and Truncated Convex Priors
  • Olga Veksler
  • 5.
  • Loopy Belief Propagation, Mean Field Theory, and Bethe Approxlmations
  • Alan Yuille
  • Machine generated contents note:
  • 6.
  • Linear Programming and Variants of Belief Propagation
  • Talya Meltzer
  • II.
  • Applications of MRFs, Including Segmentation
  • 7.
  • Interactive Foreground Extraction: Using Graph Cut
  • Andrew Blake
  • 8.
  • Continuous-Valued MRF for Image Segmentation
  • 1.
  • Rene Vidal
  • 9.
  • Bilayer Segmentation of Video
  • Vladimir Kolmogorov
  • 10.
  • MRFs for Superresolution and Texture Synthesis
  • Ce Liu
  • 11.
  • Comparative Study of Energy Minimization Methods for MRFs
  • Introduction to Markov Random Fields
  • Pushmeet Kohli
  • I.
  • Algorithms for Inference of MAP Estimates for MRFs
  • 2.
  • Basic Graph Cut Algorithms
Control code
750172643
Dimensions
unknown
Extent
1 online resource (vii, 463 pages)
File format
unknown
Form of item
online
Isbn
9781283258654
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
3634472
Other physical details
illustrations
http://library.link/vocab/ext/overdrive/overdriveId
  • 8579
  • 9780262298353
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)750172643

Library Locations

    • Thomas Jefferson LibraryBorrow it
      1 University Blvd, St. Louis, MO, 63121, US
      38.710138 -90.311107
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