{"id":"https://openalex.org/W1983234356","doi":"https://doi.org/10.1145/1937728.1937760","title":"A conditional random field model for image parsing","display_name":"A conditional random field model for image parsing","publication_year":2010,"publication_date":"2010-12-30","ids":{"openalex":"https://openalex.org/W1983234356","doi":"https://doi.org/10.1145/1937728.1937760","mag":"1983234356"},"language":"en","primary_location":{"id":"doi:10.1145/1937728.1937760","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1937728.1937760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Conference on Internet Multimedia Computing and Service","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/A5100443350","display_name":"Lingling Li","orcid":"https://orcid.org/0000-0002-6130-2518"},"institutions":[{"id":"https://openalex.org/I192868223","display_name":"Zhengzhou University of Aeronautics","ror":"https://ror.org/01qjyzh50","country_code":"CN","type":"education","lineage":["https://openalex.org/I192868223"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingling Li","raw_affiliation_strings":["Zhengzhou Institute of Aeronautical, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhengzhou Institute of Aeronautical, Zhengzhou, China","institution_ids":["https://openalex.org/I192868223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036950222","display_name":"Taisong Jin","orcid":"https://orcid.org/0000-0002-8873-1814"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taisong Jin","raw_affiliation_strings":["Xiamen University, Xiamen, china","Xiamen University, Xiamen, CHINA"],"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, china","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Xiamen University, Xiamen, CHINA","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090714528","display_name":"Guohua Zhang","orcid":"https://orcid.org/0000-0002-3461-6028"},"institutions":[{"id":"https://openalex.org/I4210120442","display_name":"AVIC Optronics (China)","ror":"https://ror.org/0338ntq56","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guohua Zhang","raw_affiliation_strings":["Science and technology on electro-optic control laboratory, Luoyang, china"],"affiliations":[{"raw_affiliation_string":"Science and technology on electro-optic control laboratory, Luoyang, china","institution_ids":["https://openalex.org/I4210120442"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100443350"],"corresponding_institution_ids":["https://openalex.org/I192868223"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07172836,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"135","last_page":"138"},"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":0.9979000091552734,"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":0.9979000091552734,"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":0.9973000288009644,"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":0.989300012588501,"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":0.9665449857711792},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7833412885665894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7392351627349854},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7040198445320129},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6953273415565491},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6904380321502686},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6074733138084412},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.606937825679779},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5713854432106018},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5355182886123657},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5175223350524902},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.4594825506210327},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4466080963611603},{"id":"https://openalex.org/keywords/crfs","display_name":"CRFS","score":0.4460337460041046},{"id":"https://openalex.org/keywords/standard-test-image","display_name":"Standard test image","score":0.42432814836502075},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24443784356117249},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17619365453720093},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06946882605552673}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.9665449857711792},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7833412885665894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7392351627349854},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7040198445320129},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6953273415565491},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6904380321502686},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6074733138084412},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.606937825679779},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5713854432106018},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5355182886123657},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5175223350524902},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.4594825506210327},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4466080963611603},{"id":"https://openalex.org/C2775953691","wikidata":"https://www.wikidata.org/wiki/Q5013874","display_name":"CRFS","level":3,"score":0.4460337460041046},{"id":"https://openalex.org/C180462255","wikidata":"https://www.wikidata.org/wiki/Q3559736","display_name":"Standard test image","level":4,"score":0.42432814836502075},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24443784356117249},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17619365453720093},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06946882605552673},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1937728.1937760","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1937728.1937760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Conference on Internet Multimedia Computing and Service","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G5016779432","display_name":null,"funder_award_id":"60975011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G85275791","display_name":null,"funder_award_id":"20095155008","funder_id":"https://openalex.org/F4320322857","funder_display_name":"Aeronautical Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322857","display_name":"Aeronautical Science Foundation of China","ror":"https://ror.org/02wq41p38"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1508404128","https://openalex.org/W1528789833","https://openalex.org/W1578197944","https://openalex.org/W1857926807","https://openalex.org/W1976389138","https://openalex.org/W2095844239","https://openalex.org/W2114794013","https://openalex.org/W2123023145","https://openalex.org/W2124189704","https://openalex.org/W2124351162","https://openalex.org/W2139381543","https://openalex.org/W2141111254","https://openalex.org/W2169551590","https://openalex.org/W2171188998","https://openalex.org/W3151922143","https://openalex.org/W4241307704","https://openalex.org/W4249142012","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W50079190","https://openalex.org/W2356597680","https://openalex.org/W182104056","https://openalex.org/W2111726165","https://openalex.org/W2011251309","https://openalex.org/W3108423214","https://openalex.org/W2796133761","https://openalex.org/W3088215229","https://openalex.org/W2511246383","https://openalex.org/W2184553228"],"abstract_inverted_index":{"The":[0,20,44,62],"paper":[1],"presented":[2],"a":[3,38,47,58,78,82,89],"novel":[4],"discriminative":[5],"model":[6],"for":[7],"efficient":[8],"and":[9,12,34],"effective":[10],"recognition":[11],"simultaneous":[13],"semantic":[14,90],"segmentation":[15,80],"of":[16,46,81],"objects":[17],"in":[18,57,96],"images.":[19],"images":[21],"are":[22,31],"first":[23],"segmented":[24],"to":[25,53],"give":[26],"'super-pixels'.":[27],"Then":[28],"the":[29,65,74,97],"super-pixels":[30],"merged":[32],"together":[33],"semantically":[35],"labeled":[36],"using":[37],"Condition":[39],"Random":[40],"Field":[41],"(CRF)":[42],"model.":[43,61],"use":[45],"conditional":[48],"random":[49],"field":[50],"allows":[51],"us":[52],"incorporate":[54],"different":[55],"cues":[56],"single":[59],"unified":[60],"test":[63,83],"on":[64],"standard":[66],"dataset":[67],"shows":[68],"that":[69],"compared":[70],"with":[71,88,93],"existing":[72],"systems,":[73],"proposed":[75],"system":[76],"produces":[77],"detailed":[79],"image":[84],"into":[85],"coherent":[86],"regions,":[87],"label":[91],"associated":[92],"each":[94],"region":[95],"image.":[98]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
