{"id":"https://openalex.org/W2202689367","doi":null,"title":"Markov Random Fields in Vision Perception: A Survey","display_name":"Markov Random Fields in Vision Perception: A Survey","publication_year":2012,"publication_date":"2012-09-24","ids":{"openalex":"https://openalex.org/W2202689367","mag":"2202689367"},"language":"en","primary_location":{"id":"pmh:oai:HAL:hal-00734983v1","doi":null,"is_oa":true,"landing_page_url":"https://inria.hal.science/hal-00734983","pdf_url":"https://inria.hal.science/hal-00734983/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"[Research Report] RR-7945, INRIA. 2012","raw_type":"info:eu-repo/semantics/report"},"volume":null,"type":"report","is_traditional":false,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-00734983/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100620659","display_name":"Chaohui Wang","orcid":"https://orcid.org/0000-0001-8592-4920","observed_orcids":["https://orcid.org/0000-0001-8592-4920","https://orcid.org/0000-0003-3501-0105"]},"institutions":[{"id":"https://openalex.org/I216852786","display_name":"\u00c9cole Centrale Paris","ror":"https://ror.org/00v0y5771","country_code":"FR","type":"education","lineage":["https://openalex.org/I216852786","https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Wang, Chaohui","raw_affiliation_strings":["GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content (Laboratoire MAS Ecole Centrale de Paris Grande Voie des Vignes 92295 Chatenay-Malabry Cedex - France)","MAS - Math\u00e9matiques Appliqu\u00e9es aux Syst\u00e8mes - EA 4037 (Grande Voie des Vignes 92295 Ch\u00e2tenay-Malabry - France)","Math\u00e9matiques Appliqu\u00e9es aux Syst\u00e8mes - EA 4037"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content (Laboratoire MAS Ecole Centrale de Paris Grande Voie des Vignes 92295 Chatenay-Malabry Cedex - France)","institution_ids":["https://openalex.org/I216852786"]},{"raw_affiliation_string":"MAS - Math\u00e9matiques Appliqu\u00e9es aux Syst\u00e8mes - EA 4037 (Grande Voie des Vignes 92295 Ch\u00e2tenay-Malabry - France)","institution_ids":["https://openalex.org/I216852786"]},{"raw_affiliation_string":"Math\u00e9matiques Appliqu\u00e9es aux Syst\u00e8mes - EA 4037","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077223134","display_name":"Nikos Paragios A","orcid":"https://orcid.org/0000-0002-9668-4763","observed_orcids":["https://orcid.org/0000-0002-9668-4763"]},"institutions":[{"id":"https://openalex.org/I216852786","display_name":"\u00c9cole Centrale Paris","ror":"https://ror.org/00v0y5771","country_code":"FR","type":"education","lineage":["https://openalex.org/I216852786","https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Paragios, Nikos","raw_affiliation_strings":["GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content (Laboratoire MAS Ecole Centrale de Paris Grande Voie des Vignes 92295 Chatenay-Malabry Cedex - France)","MAS - Math\u00e9matiques Appliqu\u00e9es aux Syst\u00e8mes - EA 4037 (Grande Voie des Vignes 92295 Ch\u00e2tenay-Malabry - France)","Math\u00e9matiques Appliqu\u00e9es aux Syst\u00e8mes - EA 4037"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content (Laboratoire MAS Ecole Centrale de Paris Grande Voie des Vignes 92295 Chatenay-Malabry Cedex - France)","institution_ids":["https://openalex.org/I216852786"]},{"raw_affiliation_string":"MAS - Math\u00e9matiques Appliqu\u00e9es aux Syst\u00e8mes - EA 4037 (Grande Voie des Vignes 92295 Ch\u00e2tenay-Malabry - France)","institution_ids":["https://openalex.org/I216852786"]},{"raw_affiliation_string":"Math\u00e9matiques Appliqu\u00e9es aux Syst\u00e8mes - EA 4037","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I216852786"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.447299987077713,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.447299987077713,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.1543000042438507,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.12729999423027039,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-random-fields","display_name":"Markov random fields","score":0.9990000128746033},{"id":"https://openalex.org/keywords/probabilistic-graphical-models","display_name":"probabilistic graphical models","score":0.7960000038146973},{"id":"https://openalex.org/keywords/discrete-optimization","display_name":"discrete optimization","score":0.7319999933242798},{"id":"https://openalex.org/keywords/graph-models","display_name":"graph-based modeling","score":0.6679999828338623},{"id":"https://openalex.org/keywords/computer-vision","display_name":"computer vision","score":0.7039999961853027}],"concepts":[{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5824026465415955},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.49094870686531067},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48236793279647827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47952011227607727},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.4667506515979767},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4456704258918762},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.35439249873161316},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3348676562309265},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3287743926048279},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1498301923274994},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09359806776046753},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.06799477338790894},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.05966663360595703}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:HAL:hal-00734983v1","doi":null,"is_oa":true,"landing_page_url":"https://inria.hal.science/hal-00734983","pdf_url":"https://inria.hal.science/hal-00734983/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"[Research Report] RR-7945, INRIA. 2012","raw_type":"info:eu-repo/semantics/report"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-00734983v1","doi":null,"is_oa":true,"landing_page_url":"https://inria.hal.science/hal-00734983","pdf_url":"https://inria.hal.science/hal-00734983/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"[Research Report] RR-7945, INRIA. 2012","raw_type":"info:eu-repo/semantics/report"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2202689367.pdf","grobid_xml":"https://content.openalex.org/works/W2202689367.grobid-xml"},"referenced_works_count":205,"referenced_works":["https://openalex.org/W10769007","https://openalex.org/W79315950","https://openalex.org/W87942418","https://openalex.org/W114565888","https://openalex.org/W143236119","https://openalex.org/W149871427","https://openalex.org/W185838248","https://openalex.org/W304861154","https://openalex.org/W1483240902","https://openalex.org/W1494598192","https://openalex.org/W1498611611","https://openalex.org/W1502653686","https://openalex.org/W1505043483","https://openalex.org/W1507039213","https://openalex.org/W1533665822","https://openalex.org/W1548953334","https://openalex.org/W1553814272","https://openalex.org/W1554544485","https://openalex.org/W1554663460","https://openalex.org/W1554965040","https://openalex.org/W1558686492","https://openalex.org/W1559345028","https://openalex.org/W1570089119","https://openalex.org/W1578982614","https://openalex.org/W1579101147","https://openalex.org/W1579559187","https://openalex.org/W1610707153","https://openalex.org/W1649464328","https://openalex.org/W1651266332","https://openalex.org/W1663973292","https://openalex.org/W1744214816","https://openalex.org/W1748750709","https://openalex.org/W1781337833","https://openalex.org/W1799913961","https://openalex.org/W1872205263","https://openalex.org/W1890779811","https://openalex.org/W1902387477","https://openalex.org/W1957358235","https://openalex.org/W1964119857","https://openalex.org/W1970279742","https://openalex.org/W1981238278","https://openalex.org/W1983289383","https://openalex.org/W1999029771","https://openalex.org/W2006293258","https://openalex.org/W2009647132","https://openalex.org/W2012433182","https://openalex.org/W2019599312","https://openalex.org/W2019661178","https://openalex.org/W2020999234","https://openalex.org/W2026129786","https://openalex.org/W2030536784","https://openalex.org/W2034009564","https://openalex.org/W2039684198","https://openalex.org/W2045798786","https://openalex.org/W2048026137","https://openalex.org/W2049457923","https://openalex.org/W2051925299","https://openalex.org/W2054279472","https://openalex.org/W2068674173","https://openalex.org/W2069537876","https://openalex.org/W2069702698","https://openalex.org/W2074078071","https://openalex.org/W2074392786","https://openalex.org/W2082165536","https://openalex.org/W2090359754","https://openalex.org/W2090518410","https://openalex.org/W2093313630","https://openalex.org/W2093993686","https://openalex.org/W2095844239","https://openalex.org/W2096139825","https://openalex.org/W2097074225","https://openalex.org/W2097514372","https://openalex.org/W2097798120","https://openalex.org/W2098152234","https://openalex.org/W2098387242","https://openalex.org/W2098731116","https://openalex.org/W2099939455","https://openalex.org/W2101309634","https://openalex.org/W2101914010","https://openalex.org/W2102691397","https://openalex.org/W2103498186","https://openalex.org/W2104095591","https://openalex.org/W2104276184","https://openalex.org/W2104960665","https://openalex.org/W2105044329","https://openalex.org/W2105365768","https://openalex.org/W2105934661","https://openalex.org/W2106723645","https://openalex.org/W2106813532","https://openalex.org/W2107723815","https://openalex.org/W2107884096","https://openalex.org/W2108190040","https://openalex.org/W2108619558","https://openalex.org/W2110306576","https://openalex.org/W2111067708","https://openalex.org/W2111098411","https://openalex.org/W2112421114","https://openalex.org/W2113016070","https://openalex.org/W2114220616","https://openalex.org/W2114741181","https://openalex.org/W2115789207","https://openalex.org/W2116877738","https://openalex.org/W2117872873","https://openalex.org/W2118961645","https://openalex.org/W2118997898","https://openalex.org/W2119213281","https://openalex.org/W2119300483","https://openalex.org/W2119867409","https://openalex.org/W2120294885","https://openalex.org/W2120340025","https://openalex.org/W2120804060","https://openalex.org/W2120938053","https://openalex.org/W2121845348","https://openalex.org/W2122768476","https://openalex.org/W2124351162","https://openalex.org/W2124558257","https://openalex.org/W2125162313","https://openalex.org/W2125186487","https://openalex.org/W2125838338","https://openalex.org/W2126789858","https://openalex.org/W2128221187","https://openalex.org/W2128262632","https://openalex.org/W2128680590","https://openalex.org/W2128988466","https://openalex.org/W2130184048","https://openalex.org/W2130517245","https://openalex.org/W2131263044","https://openalex.org/W2131538180","https://openalex.org/W2131686571","https://openalex.org/W2131910503","https://openalex.org/W2133374323","https://openalex.org/W2134002968","https://openalex.org/W2135165032","https://openalex.org/W2135414191","https://openalex.org/W2135968022","https://openalex.org/W2137117160","https://openalex.org/W2137813581","https://openalex.org/W2138086725","https://openalex.org/W2139762693","https://openalex.org/W2140153852","https://openalex.org/W2140502500","https://openalex.org/W2143158307","https://openalex.org/W2143516773","https://openalex.org/W2143524933","https://openalex.org/W2143891888","https://openalex.org/W2144414892","https://openalex.org/W2144572173","https://openalex.org/W2146293384","https://openalex.org/W2146369368","https://openalex.org/W2147880316","https://openalex.org/W2147899407","https://openalex.org/W2148018895","https://openalex.org/W2149203124","https://openalex.org/W2149474573","https://openalex.org/W2149615484","https://openalex.org/W2149760002","https://openalex.org/W2149846618","https://openalex.org/W2150040483","https://openalex.org/W2150218618","https://openalex.org/W2150675045","https://openalex.org/W2151322733","https://openalex.org/W2151646056","https://openalex.org/W2152001538","https://openalex.org/W2152280721","https://openalex.org/W2153396823","https://openalex.org/W2153487529","https://openalex.org/W2153980837","https://openalex.org/W2159080219","https://openalex.org/W2159565918","https://openalex.org/W2160461961","https://openalex.org/W2161236525","https://openalex.org/W2161663128","https://openalex.org/W2163621828","https://openalex.org/W2164556573","https://openalex.org/W2164918853","https://openalex.org/W2165183780","https://openalex.org/W2165949176","https://openalex.org/W2166051883","https://openalex.org/W2166822605","https://openalex.org/W2167094141","https://openalex.org/W2168311572","https://openalex.org/W2168356304","https://openalex.org/W2168766022","https://openalex.org/W2168796889","https://openalex.org/W2169066680","https://openalex.org/W2169135100","https://openalex.org/W2169282664","https://openalex.org/W2169551590","https://openalex.org/W2171675680","https://openalex.org/W2171675999","https://openalex.org/W2296319761","https://openalex.org/W2341171179","https://openalex.org/W2343741039","https://openalex.org/W2534859116","https://openalex.org/W2535516436","https://openalex.org/W2545985378","https://openalex.org/W2611804663","https://openalex.org/W2752885492","https://openalex.org/W2798766386","https://openalex.org/W2913192828","https://openalex.org/W2950342388","https://openalex.org/W2994982620","https://openalex.org/W3184458996","https://openalex.org/W4212863985","https://openalex.org/W6940886558"],"related_works":["https://openalex.org/W7095074610","https://openalex.org/W2114358147","https://openalex.org/W1878940107","https://openalex.org/W1507028917","https://openalex.org/W35586085","https://openalex.org/W4244875341","https://openalex.org/W2077888727","https://openalex.org/W84959274","https://openalex.org/W7101084975","https://openalex.org/W4383563363"],"abstract_inverted_index":{"In":[0],"this":[1,133,147],"paper,":[2],"we":[3,106],"present":[4],"a":[5,41,137],"comprehensive":[6],"survey":[7,134],"of":[8,51,57,89,97,120,127,142],"Markov":[9],"Random":[10],"Fields":[11],"(MRFs)":[12],"in":[13,73,146],"computer":[14,29],"vision,":[15],"with":[16],"respect":[17],"to":[18,39],"both":[19],"the":[20,23,49,52,55,61,98,118,125,143],"modeling":[21],"and":[22,92,123,139],"inference.":[24],"MRFs":[25],"were":[26],"introduced":[27],"intothe":[28],"vision":[30,87],"field":[31],"about":[32],"two":[33],"decades":[34],"ago,":[35],"while":[36],"they":[37],"started":[38],"become":[40],"ubiquitous":[42],"tool":[43],"forsolving":[44],"visual":[45],"perception":[46],"problems":[47,88],"at":[48],"turn":[50],"millennium":[53],"following":[54],"emergence":[56],"efficientinference":[58],"methods.":[59],"During":[60],"past":[62],"decade,":[63],"different":[64],"MRF":[65],"models":[66,122],"as":[67,69],"well":[68],"inference":[70],"methods":[71],"-":[72,80],"particular":[74],"those":[75],"based":[76],"on":[77,112],"discrete":[78],"optimization":[79],"have":[81,107],"been":[82],"developed":[83],"towards":[84],"addressing":[85],"numerous":[86],"low,":[90],"mid":[91],"high":[93],"level.":[94],"While":[95],"most":[96],"literature":[99,145],"concerns":[100],"pairwise":[101],"MRFs,":[102,114],"during":[103],"recent":[104],"years,":[105],"also":[108],"witnessed":[109],"significant":[110],"progress":[111],"higher-order":[113],"which":[115],"substantially":[116],"enhances":[117],"expressiveness":[119],"graph-based":[121],"enlarges":[124],"extent":[126],"solvable":[128],"problems.":[129],"We":[130],"hope":[131],"that":[132],"will":[135],"provide":[136],"compact":[138],"informative":[140],"summary":[141],"main":[144],"research":[148],"topic.":[149]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}