Markov random fields for vision and image processing /:
State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study.
Gespeichert in:
Weitere Verfasser: | , , |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge, Mass. :
MIT Press,
©2011.
|
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study. |
Beschreibung: | 1 online resource (vii, 463 pages) : illustrations |
Bibliographie: | Includes bibliographical references and index. |
ISBN: | 9780262298353 026229835X 128325865X 9781283258654 |
Internformat
MARC
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245 | 0 | 0 | |a Markov random fields for vision and image processing / |c edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother. |
260 | |a Cambridge, Mass. : |b MIT Press, |c ©2011. | ||
300 | |a 1 online resource (vii, 463 pages) : |b illustrations | ||
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504 | |a Includes bibliographical references and index. | ||
588 | 0 | |a Print version record. | |
520 | |a State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study. | ||
505 | 0 | 0 | |g Machine generated contents note: |g 1. |t Introduction to Markov Random Fields / |r Pushmeet Kohli -- |g I. |t Algorithms for Inference of MAP Estimates for MRFs -- |g 2. |t Basic Graph Cut Algorithms / |r Vladimir Kolmogorov -- |g 3. |t Optimizing Multilabel MRFs Using Move-Making Algorithms / |r Ramin Zabih -- |g 4. |t Optimizing Multilabel MRFs with Convex and Truncated Convex Priors / |r Olga Veksler -- |g 5. |t Loopy Belief Propagation, Mean Field Theory, and Bethe Approxlmations / |r Alan Yuille -- |g 6. |t Linear Programming and Variants of Belief Propagation / |r Talya Meltzer -- |g II. |t Applications of MRFs, Including Segmentation -- |g 7. |t Interactive Foreground Extraction: Using Graph Cut / |r Andrew Blake -- |g 8. |t Continuous-Valued MRF for Image Segmentation / |r Rene Vidal -- |g 9. |t Bilayer Segmentation of Video / |r Vladimir Kolmogorov -- |g 10. |t MRFs for Superresolution and Texture Synthesis / |r Ce Liu -- |g 11. |t Comparative Study of Energy Minimization Methods for MRFs. |
650 | 0 | |a Image processing |x Mathematics. | |
650 | 0 | |a Computer graphics |x Mathematics. | |
650 | 0 | |a Computer vision |x Mathematics. | |
650 | 0 | |a Markov random fields. |0 http://id.loc.gov/authorities/subjects/sh91004240 | |
650 | 6 | |a Traitement d'images |x Mathématiques. | |
650 | 6 | |a Infographie |x Mathématiques. | |
650 | 6 | |a Vision par ordinateur |x Mathématiques. | |
650 | 6 | |a Champs aléatoires de Markov. | |
650 | 7 | |a COMPUTERS |x Computer Vision & Pattern Recognition. |2 bisacsh | |
650 | 7 | |a Computer graphics |x Mathematics |2 fast | |
650 | 7 | |a Image processing |x Mathematics |2 fast | |
650 | 7 | |a Markov random fields |2 fast | |
653 | |a NEUROSCIENCE/Visual Neuroscience | ||
653 | |a COMPUTER SCIENCE/General | ||
700 | 1 | |a Blake, Andrew, |d 1956- |1 https://id.oclc.org/worldcat/entity/E39PBJwmTMfVhPwJPyPxTbkbh3 |0 http://id.loc.gov/authorities/names/n86010465 | |
700 | 1 | |a Kohli, Pushmeet. | |
700 | 1 | |a Rother, Carsten. | |
758 | |i has work: |a Markov random fields for vision and image processing (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGFpm9JVXY9fBmCxtW3cGd |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
776 | 0 | 8 | |i Print version: |t Markov random fields for vision and image processing. |d Cambridge, Mass. : MIT Press, ©2011 |z 9780262015776 |w (DLC) 2010046702 |w (OCoLC)689858497 |
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Datensatz im Suchindex
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adam_text | |
any_adam_object | |
author2 | Blake, Andrew, 1956- Kohli, Pushmeet Rother, Carsten |
author2_role | |
author2_variant | a b ab p k pk c r cr |
author_GND | http://id.loc.gov/authorities/names/n86010465 |
author_additional | Pushmeet Kohli -- Vladimir Kolmogorov -- Ramin Zabih -- Olga Veksler -- Alan Yuille -- Talya Meltzer -- Andrew Blake -- Rene Vidal -- Ce Liu -- |
author_facet | Blake, Andrew, 1956- Kohli, Pushmeet Rother, Carsten |
author_sort | Blake, Andrew, 1956- |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | T - Technology |
callnumber-label | TA1637 |
callnumber-raw | TA1637 .M337 2011eb |
callnumber-search | TA1637 .M337 2011eb |
callnumber-sort | TA 41637 M337 42011EB |
callnumber-subject | TA - General and Civil Engineering |
collection | ZDB-4-EBA |
contents | Introduction to Markov Random Fields / Algorithms for Inference of MAP Estimates for MRFs -- Basic Graph Cut Algorithms / Optimizing Multilabel MRFs Using Move-Making Algorithms / Optimizing Multilabel MRFs with Convex and Truncated Convex Priors / Loopy Belief Propagation, Mean Field Theory, and Bethe Approxlmations / Linear Programming and Variants of Belief Propagation / Applications of MRFs, Including Segmentation -- Interactive Foreground Extraction: Using Graph Cut / Continuous-Valued MRF for Image Segmentation / Bilayer Segmentation of Video / MRFs for Superresolution and Texture Synthesis / Comparative Study of Energy Minimization Methods for MRFs. |
ctrlnum | (OCoLC)750172643 |
dewey-full | 006.3/70151 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3/70151 |
dewey-search | 006.3/70151 |
dewey-sort | 16.3 570151 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
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id | ZDB-4-EBA-ocn750172643 |
illustrated | Illustrated |
indexdate | 2024-11-27T13:17:58Z |
institution | BVB |
isbn | 9780262298353 026229835X 128325865X 9781283258654 |
language | English |
lccn | 2010046702 |
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physical | 1 online resource (vii, 463 pages) : illustrations |
psigel | ZDB-4-EBA |
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publishDateSort | 2011 |
publisher | MIT Press, |
record_format | marc |
spelling | Markov random fields for vision and image processing / edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother. Cambridge, Mass. : MIT Press, ©2011. 1 online resource (vii, 463 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Print version record. State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study. Machine generated contents note: 1. Introduction to Markov Random Fields / Pushmeet Kohli -- I. Algorithms for Inference of MAP Estimates for MRFs -- 2. Basic Graph Cut Algorithms / 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 -- 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 / 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. Image processing Mathematics. Computer graphics Mathematics. Computer vision Mathematics. Markov random fields. http://id.loc.gov/authorities/subjects/sh91004240 Traitement d'images Mathématiques. Infographie Mathématiques. Vision par ordinateur Mathématiques. Champs aléatoires de Markov. COMPUTERS Computer Vision & Pattern Recognition. bisacsh Computer graphics Mathematics fast Image processing Mathematics fast Markov random fields fast NEUROSCIENCE/Visual Neuroscience COMPUTER SCIENCE/General Blake, Andrew, 1956- https://id.oclc.org/worldcat/entity/E39PBJwmTMfVhPwJPyPxTbkbh3 http://id.loc.gov/authorities/names/n86010465 Kohli, Pushmeet. Rother, Carsten. has work: Markov random fields for vision and image processing (Text) https://id.oclc.org/worldcat/entity/E39PCGFpm9JVXY9fBmCxtW3cGd https://id.oclc.org/worldcat/ontology/hasWork Print version: Markov random fields for vision and image processing. Cambridge, Mass. : MIT Press, ©2011 9780262015776 (DLC) 2010046702 (OCoLC)689858497 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=386846 Volltext |
spellingShingle | Markov random fields for vision and image processing / Introduction to Markov Random Fields / Algorithms for Inference of MAP Estimates for MRFs -- Basic Graph Cut Algorithms / Optimizing Multilabel MRFs Using Move-Making Algorithms / Optimizing Multilabel MRFs with Convex and Truncated Convex Priors / Loopy Belief Propagation, Mean Field Theory, and Bethe Approxlmations / Linear Programming and Variants of Belief Propagation / Applications of MRFs, Including Segmentation -- Interactive Foreground Extraction: Using Graph Cut / Continuous-Valued MRF for Image Segmentation / Bilayer Segmentation of Video / MRFs for Superresolution and Texture Synthesis / Comparative Study of Energy Minimization Methods for MRFs. Image processing Mathematics. Computer graphics Mathematics. Computer vision Mathematics. Markov random fields. http://id.loc.gov/authorities/subjects/sh91004240 Traitement d'images Mathématiques. Infographie Mathématiques. Vision par ordinateur Mathématiques. Champs aléatoires de Markov. COMPUTERS Computer Vision & Pattern Recognition. bisacsh Computer graphics Mathematics fast Image processing Mathematics fast Markov random fields fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh91004240 |
title | Markov random fields for vision and image processing / |
title_alt | Introduction to Markov Random Fields / Algorithms for Inference of MAP Estimates for MRFs -- Basic Graph Cut Algorithms / Optimizing Multilabel MRFs Using Move-Making Algorithms / Optimizing Multilabel MRFs with Convex and Truncated Convex Priors / Loopy Belief Propagation, Mean Field Theory, and Bethe Approxlmations / Linear Programming and Variants of Belief Propagation / Applications of MRFs, Including Segmentation -- Interactive Foreground Extraction: Using Graph Cut / Continuous-Valued MRF for Image Segmentation / Bilayer Segmentation of Video / MRFs for Superresolution and Texture Synthesis / Comparative Study of Energy Minimization Methods for MRFs. |
title_auth | Markov random fields for vision and image processing / |
title_exact_search | Markov random fields for vision and image processing / |
title_full | Markov random fields for vision and image processing / edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother. |
title_fullStr | Markov random fields for vision and image processing / edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother. |
title_full_unstemmed | Markov random fields for vision and image processing / edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother. |
title_short | Markov random fields for vision and image processing / |
title_sort | markov random fields for vision and image processing |
topic | Image processing Mathematics. Computer graphics Mathematics. Computer vision Mathematics. Markov random fields. http://id.loc.gov/authorities/subjects/sh91004240 Traitement d'images Mathématiques. Infographie Mathématiques. Vision par ordinateur Mathématiques. Champs aléatoires de Markov. COMPUTERS Computer Vision & Pattern Recognition. bisacsh Computer graphics Mathematics fast Image processing Mathematics fast Markov random fields fast |
topic_facet | Image processing Mathematics. Computer graphics Mathematics. Computer vision Mathematics. Markov random fields. Traitement d'images Mathématiques. Infographie Mathématiques. Vision par ordinateur Mathématiques. Champs aléatoires de Markov. COMPUTERS Computer Vision & Pattern Recognition. Computer graphics Mathematics Image processing Mathematics Markov random fields |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=386846 |
work_keys_str_mv | AT blakeandrew markovrandomfieldsforvisionandimageprocessing AT kohlipushmeet markovrandomfieldsforvisionandimageprocessing AT rothercarsten markovrandomfieldsforvisionandimageprocessing |