{"id":"https://openalex.org/W2030578426","doi":"https://doi.org/10.1109/icip.2010.5652023","title":"Fast semantic scene segmentation with conditional random field","display_name":"Fast semantic scene segmentation with conditional random field","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2030578426","doi":"https://doi.org/10.1109/icip.2010.5652023","mag":"2030578426"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5652023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5069540177","display_name":"Wen Yang","orcid":"https://orcid.org/0000-0002-3263-8768"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Yang","raw_affiliation_strings":["School of Electronic Information, Wuhan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078838951","display_name":"Dengxin Dai","orcid":"https://orcid.org/0000-0001-5440-9678"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengxin Dai","raw_affiliation_strings":["School of Electronic Information, Wuhan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062363302","display_name":"Bill Triggs","orcid":"https://orcid.org/0000-0003-4116-6296"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bill Triggs","raw_affiliation_strings":["Laboratoire Jean Kuntzmann, CNRS-INRIA, Grenoble University, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire Jean Kuntzmann, CNRS-INRIA, Grenoble University, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I899635006"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073032922","display_name":"Gui-Song Xia","orcid":"https://orcid.org/0000-0001-7660-6090"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Guisong Xia","raw_affiliation_strings":["Telecom ParisTech, CNRS-LTCI, Paris, France","CNRS-LTCI, TELECOM ParisTech, 46 rue Barrault, 75013, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telecom ParisTech, CNRS-LTCI, Paris, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I1294671590","https://openalex.org/I4210165912"]},{"raw_affiliation_string":"CNRS-LTCI, TELECOM ParisTech, 46 rue Barrault, 75013, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I1294671590","https://openalex.org/I4210165912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110626888","display_name":"Chu He","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chu He","raw_affiliation_strings":["School of Electronic Information, Wuhan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"229","last_page":"232"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9987999796867371,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9959999918937683,"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/conditional-random-field","display_name":"Conditional random field","score":0.912114143371582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7700591087341309},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7700588703155518},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7697761058807373},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6196281909942627},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5781365633010864},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5750302076339722},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5599826574325562},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5531991124153137},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5464283227920532},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.45267367362976074},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4502774775028229},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4399884343147278},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28185421228408813}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.912114143371582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7700591087341309},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7700588703155518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7697761058807373},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6196281909942627},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5781365633010864},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5750302076339722},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5599826574325562},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5531991124153137},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5464283227920532},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.45267367362976074},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4502774775028229},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4399884343147278},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28185421228408813}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2010.5652023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.378.9066","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.378.9066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-ljk.imag.fr/Publications/Basilic/com.lmc.publi.PUBLI_Inproceedings@13730f58c78_b9377b/Yang-icip10.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-00851736v1","is_oa":false,"landing_page_url":"https://hal.science/hal-00851736","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICIP 2010 - International Conference on Image Processing, Sep 2010, Hong-Kong, China. pp.229-232, ⟨10.1109/ICIP.2010.5652023⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1528789833","https://openalex.org/W1597084354","https://openalex.org/W2004695321","https://openalex.org/W2017313218","https://openalex.org/W2031248101","https://openalex.org/W2095844239","https://openalex.org/W2100588357","https://openalex.org/W2119867409","https://openalex.org/W2122006243","https://openalex.org/W2123023145","https://openalex.org/W2128832593","https://openalex.org/W2128962821","https://openalex.org/W2141739106","https://openalex.org/W2143516773","https://openalex.org/W2151862441","https://openalex.org/W2160254296","https://openalex.org/W6631412525","https://openalex.org/W6674793120","https://openalex.org/W6678000420","https://openalex.org/W6681843719"],"related_works":["https://openalex.org/W3006655138","https://openalex.org/W2166537673","https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2372421320","https://openalex.org/W2057775483","https://openalex.org/W2041871225","https://openalex.org/W2386644571","https://openalex.org/W2387793296"],"abstract_inverted_index":{"In":[0,46],"this":[1],"paper,":[2],"we":[3,27,50],"present":[4],"a":[5,18,59,66,70],"fast":[6,71],"approach":[7,97],"to":[8,21,33,64,77],"obtain":[9],"semantic":[10,101],"scene":[11],"segmentation":[12,92,102],"with":[13],"high":[14],"precision.":[15],"We":[16],"employ":[17],"two-stage":[19],"classifier":[20],"label":[22],"all":[23],"image":[24,91],"pixels.":[25],"First,":[26],"use":[28],"the":[29,39,47,52,79,82,110],"regularized":[30],"logistic":[31],"regression":[32],"combine":[34],"different":[35],"appearance-based":[36],"features":[37],"and":[38,55,69,104],"improved":[40],"spatial":[41],"layout":[42],"of":[43,81,109],"labeling":[44],"information.":[45],"second":[48],"stage,":[49],"incorporate":[51],"local,":[53],"regional":[54],"global":[56],"cues":[57],"into":[58],"conditional":[60],"random":[61],"field":[62],"model":[63,83],"provide":[65],"final":[67],"segmentation,":[68],"max-margin":[72],"training":[73],"method":[74],"is":[75],"employed":[76],"learn":[78],"parameters":[80],"quickly.":[84],"The":[85],"comparison":[86],"experiments":[87],"on":[88],"four":[89],"multi-class":[90],"databases":[93],"show":[94],"that":[95,108],"our":[96],"can":[98],"achieve":[99],"comparable":[100],"results":[103],"work":[105],"faster":[106],"than":[107],"state-of-the-art":[111],"approaches.":[112]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}