{"id":"https://openalex.org/W1990793193","doi":"https://doi.org/10.1186/1687-5281-2013-11","title":"A hierarchical graph model for object cosegmentation","display_name":"A hierarchical graph model for object cosegmentation","publication_year":2013,"publication_date":"2013-02-26","ids":{"openalex":"https://openalex.org/W1990793193","doi":"https://doi.org/10.1186/1687-5281-2013-11","mag":"1990793193"},"language":"en","primary_location":{"id":"doi:10.1186/1687-5281-2013-11","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-5281-2013-11","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2013-11","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2013-11","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064603547","display_name":"Yanli Li","orcid":"https://orcid.org/0000-0001-5267-3096"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanli Li","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology & Systems, Beihang University, Beijing, China","[State Key Laboratory of Virtual reality Technology and Systems, Beihang University, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology & Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"[State Key Laboratory of Virtual reality Technology and Systems, Beihang University, Beijing, China]","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102905671","display_name":"Zhong Zhou","orcid":"https://orcid.org/0000-0002-5825-7517"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Zhou","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology & Systems, Beihang University, Beijing, China","[State Key Laboratory of Virtual reality Technology and Systems, Beihang University, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology & Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"[State Key Laboratory of Virtual reality Technology and Systems, Beihang University, Beijing, China]","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101796417","display_name":"Wei Wu","orcid":"https://orcid.org/0000-0001-6572-8471"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wu","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology & Systems, Beihang University, Beijing, China","[State Key Laboratory of Virtual reality Technology and Systems, Beihang University, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology & Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"[State Key Laboratory of Virtual reality Technology and Systems, Beihang University, Beijing, China]","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064603547"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.2764,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58031563,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2013","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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/initialization","display_name":"Initialization","score":0.7202982902526855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6957562565803528},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6605650782585144},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5733284950256348},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5649710893630981},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5472776293754578},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5412935018539429},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.523179829120636},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5223725438117981},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5037760138511658},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44008147716522217},{"id":"https://openalex.org/keywords/random-walker-algorithm","display_name":"Random walker algorithm","score":0.41586920619010925},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3081294596195221},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14390841126441956}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7202982902526855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6957562565803528},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6605650782585144},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5733284950256348},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5649710893630981},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5472776293754578},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5412935018539429},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.523179829120636},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5223725438117981},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5037760138511658},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44008147716522217},{"id":"https://openalex.org/C105045736","wikidata":"https://www.wikidata.org/wiki/Q7292002","display_name":"Random walker algorithm","level":3,"score":0.41586920619010925},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3081294596195221},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14390841126441956},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1186/1687-5281-2013-11","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-5281-2013-11","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2013-11","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1186/1687-5281-2013-11","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-5281-2013-11","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2013-11","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5799999833106995}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4015877267","display_name":null,"funder_award_id":"20121102130004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4243412236","display_name":null,"funder_award_id":"863 Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5434296981","display_name":null,"funder_award_id":"61170188","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8116227371","display_name":null,"funder_award_id":"21102130","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335773","display_name":"National High-tech Research and Development Program","ror":null},{"id":"https://openalex.org/F4320336024","display_name":"Specialized Research Fund for the Doctoral Program of Higher Education of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1990793193.pdf","grobid_xml":"https://content.openalex.org/works/W1990793193.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1490760466","https://openalex.org/W1635155787","https://openalex.org/W1742311587","https://openalex.org/W1964884769","https://openalex.org/W1970899458","https://openalex.org/W2003033789","https://openalex.org/W2037954058","https://openalex.org/W2073983104","https://openalex.org/W2086052791","https://openalex.org/W2101309634","https://openalex.org/W2112301665","https://openalex.org/W2117132237","https://openalex.org/W2118802082","https://openalex.org/W2119531662","https://openalex.org/W2124351162","https://openalex.org/W2125188192","https://openalex.org/W2125637308","https://openalex.org/W2128715914","https://openalex.org/W2129004009","https://openalex.org/W2129260071","https://openalex.org/W2134529554","https://openalex.org/W2134731454","https://openalex.org/W2140000690","https://openalex.org/W2157244733","https://openalex.org/W2165203396","https://openalex.org/W2165949176","https://openalex.org/W2170413022","https://openalex.org/W2799061466","https://openalex.org/W3151922143","https://openalex.org/W4244494905","https://openalex.org/W4246999471","https://openalex.org/W4247924304","https://openalex.org/W4249142012","https://openalex.org/W4252959399"],"related_works":["https://openalex.org/W2806449455","https://openalex.org/W2109407305","https://openalex.org/W2032319136","https://openalex.org/W2897997384","https://openalex.org/W2808526226","https://openalex.org/W3006903617","https://openalex.org/W2088651901","https://openalex.org/W2790543485","https://openalex.org/W1544828638","https://openalex.org/W2086619084"],"abstract_inverted_index":{"Abstract":[0],"Given":[1],"a":[2,11,35,40,120],"set":[3,20],"of":[4,13,21,45],"images":[5,94],"containing":[6],"similar":[7],"objects,":[8],"cosegmentation":[9,56],"is":[10,57,126],"task":[12],"jointly":[14],"segmenting":[15],"the":[16,19,46,64,68,72,77,81,87,109,113],"objects":[17,111],"from":[18],"images,":[22],"which":[23],"has":[24],"received":[25],"increasing":[26],"interests":[27],"recently.":[28],"To":[29],"solve":[30],"this":[31],"problem,":[32],"we":[33,84],"present":[34],"novel":[36],"method":[37,146],"based":[38,122],"on":[39],"hierarchical":[41,47],"graph.":[42],"The":[43,141],"vertices":[44],"graph":[48],"involve":[49],"pixels,":[50],"superpixels":[51],"and":[52,55,76,107],"heat":[53,73,99],"sources,":[54],"performed":[58],"as":[59,151,153],"iterative":[60],"object":[61,88],"refinement":[62],"in":[63,71,80,112],"three":[65],"levels.":[66],"With":[67],"inter-image":[69],"connection":[70,79],"source":[74],"level":[75,115],"intra-image":[78],"superpixel":[82],"level,":[83],"progressively":[85],"update":[86],"likelihoods":[89],"by":[90],"transferring":[91],"message":[92],"across":[93],"via":[95,104,116],"belief":[96],"propagation,":[97],"diffusing":[98],"energy":[100],"within":[101],"individual":[102],"image":[103],"random":[105],"walks,":[106],"refining":[108],"foreground":[110],"pixel":[114],"guided":[117],"filtering.":[118],"Besides,":[119],"histogram":[121],"saliency":[123],"detection":[124],"scheme":[125],"employed":[127],"for":[128],"initialization.":[129],"We":[130],"demonstrate":[131],"experimental":[132],"evaluations":[133],"with":[134],"state-of-the-art":[135],"methods":[136],"over":[137],"several":[138],"public":[139],"datasets.":[140],"results":[142],"verify":[143],"that":[144],"our":[145],"achieves":[147],"better":[148],"segmentation":[149],"quality":[150],"well":[152],"higher":[154],"efficiency.":[155]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
