{"id":"https://openalex.org/W2072819883","doi":"https://doi.org/10.1109/iccvw.2011.6130243","title":"A hierarchical conditional random field model for labeling and classifying images of man-made scenes","display_name":"A hierarchical conditional random field model for labeling and classifying images of man-made scenes","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2072819883","doi":"https://doi.org/10.1109/iccvw.2011.6130243","mag":"2072819883"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw.2011.6130243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014321482","display_name":"Michael Ying Yang","orcid":"https://orcid.org/0000-0002-0649-9987"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Michael Ying Yang","raw_affiliation_strings":["Department of Photogrammetry, Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany","Department of Photogrammetry, Institute of Geodesy and Geoinformation, University of Bonn, Nussallee 15, 53115, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Photogrammetry, Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]},{"raw_affiliation_string":"Department of Photogrammetry, Institute of Geodesy and Geoinformation, University of Bonn, Nussallee 15, 53115, Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113800113","display_name":"Wolfgang F\u00f6rstner","orcid":null},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Forstner","raw_affiliation_strings":["Department of Photogrammetry, Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany","Department of Photogrammetry, Institute of Geodesy and Geoinformation, University of Bonn, Nussallee 15, 53115, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Photogrammetry, Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]},{"raw_affiliation_string":"Department of Photogrammetry, Institute of Geodesy and Geoinformation, University of Bonn, Nussallee 15, 53115, Germany","institution_ids":["https://openalex.org/I135140700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014321482"],"corresponding_institution_ids":["https://openalex.org/I135140700"],"apc_list":null,"apc_paid":null,"fwci":4.447,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.95486784,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"196","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.7792842984199524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6968114376068115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6796658039093018},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5081462860107422},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.5054736137390137},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.46127840876579285},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.4599108099937439},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4263787567615509},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.41876956820487976},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.41187554597854614},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3055018484592438},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15804198384284973},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.12827324867248535}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.7792842984199524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6968114376068115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6796658039093018},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5081462860107422},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.5054736137390137},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.46127840876579285},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.4599108099937439},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4263787567615509},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.41876956820487976},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.41187554597854614},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3055018484592438},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15804198384284973},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.12827324867248535}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/iccvw.2011.6130243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:ris.utwente.nl:openaire_cris_publications/5479e7d6-10b9-40ff-9340-d8a4e27f4901","is_oa":false,"landing_page_url":"https://research.utwente.nl/en/publications/5479e7d6-10b9-40ff-9340-d8a4e27f4901","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Yang, M Y & Forstner, W 2011, A hierarchical conditional random field model for labeling and classifying images of man-made scenes. in 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops). IEEE, pp. 196-203, IEEE International Conference on Computer Vision 2011, Barcelona, Spain, 6/11/11. https://doi.org/10.1109/ICCVW.2011.6130243","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.1022.8992","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1022.8992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Wolfgang_Foerstner/publication/221430105_A_hierarchical_conditional_random_field_model_for_labeling_and_classifying_images_of_man-made_scenes/links/00b4951559938ab851000000.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.295.8237","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.295.8237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ipb.uni-bonn.de/fileadmin/publication/pdf/Yang2011Hierarchical.pdf","raw_type":"text"},{"id":"pmh:oai:ris.utwente.nl:publications/5479e7d6-10b9-40ff-9340-d8a4e27f4901","is_oa":false,"landing_page_url":"https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2011/chap/yang_hie.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1623823","https://openalex.org/W201821705","https://openalex.org/W1509181723","https://openalex.org/W1528789833","https://openalex.org/W1578197944","https://openalex.org/W1590899626","https://openalex.org/W1737164562","https://openalex.org/W1934863104","https://openalex.org/W1964965834","https://openalex.org/W2017313218","https://openalex.org/W2066941820","https://openalex.org/W2067191022","https://openalex.org/W2095844239","https://openalex.org/W2097333614","https://openalex.org/W2100588357","https://openalex.org/W2101309634","https://openalex.org/W2112546694","https://openalex.org/W2112620876","https://openalex.org/W2113137767","https://openalex.org/W2116877738","https://openalex.org/W2124189704","https://openalex.org/W2128680590","https://openalex.org/W2130832130","https://openalex.org/W2131487329","https://openalex.org/W2137471889","https://openalex.org/W2141739106","https://openalex.org/W2143516773","https://openalex.org/W2147880316","https://openalex.org/W2149954907","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2341849865","https://openalex.org/W2535516436","https://openalex.org/W2545985378","https://openalex.org/W2911964244","https://openalex.org/W3184458996","https://openalex.org/W4285719527","https://openalex.org/W6608200707","https://openalex.org/W6630581134","https://openalex.org/W6631412525","https://openalex.org/W6634886587","https://openalex.org/W6635212758","https://openalex.org/W6674793120","https://openalex.org/W6682082992"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2005087563","https://openalex.org/W2378111931","https://openalex.org/W2052388267","https://openalex.org/W2950647290","https://openalex.org/W1968481813","https://openalex.org/W2963336968","https://openalex.org/W2805329439","https://openalex.org/W2048190617"],"abstract_inverted_index":{"Semantic":[0],"scene":[1],"interpretation":[2],"as":[3,73],"a":[4,12,42],"collection":[5],"of":[6,22,32,52,64,81,115],"meaningful":[7],"regions":[8,83],"in":[9,15,29,97],"images":[10,120],"is":[11,91,127],"fundamental":[13],"problem":[14,51],"both":[16],"photogrammetry":[17],"and":[18,34,58,78,138],"computer":[19],"vision.":[20],"Images":[21],"man-made":[23],"scenes":[24],"exhibit":[25],"strong":[26],"contextual":[27],"dependencies":[28],"the":[30,50,82,113,116,128],"form":[31],"spatial":[33,57,77],"hierarchical":[35,43,59,79],"structures.":[36,60],"In":[37],"this":[38],"paper,":[39],"we":[40],"introduce":[41],"conditional":[44],"random":[45],"field":[46],"to":[47,99,104,111],"deal":[48],"with":[49],"image":[53,95],"classification":[54],"by":[55],"modeling":[56],"The":[61,76,89],"probability":[62],"outputs":[63],"an":[65],"efficient":[66],"randomized":[67],"decision":[68],"forest":[69],"classifier":[70],"are":[71,84,109],"used":[72],"unary":[74],"potentials.":[75,88],"structures":[80],"integrated":[85],"into":[86],"pairwise":[87],"model":[90],"built":[92],"on":[93],"multi-scale":[94],"analysis":[96],"order":[98],"aggregate":[100],"evidence":[101],"from":[102,121],"local":[103],"global":[105],"level.":[106],"Experimental":[107],"results":[108],"provided":[110],"demonstrate":[112],"performance":[114],"proposed":[117],"method":[118],"using":[119],"eTRIMS":[122],"dataset,":[123],"where":[124],"our":[125],"focus":[126],"object":[129],"classes":[130],"building,":[131],"car,":[132],"door,":[133],"pavement,":[134],"road,":[135],"sky,":[136],"vegetation,":[137],"window.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
