{"id":"https://openalex.org/W2265541518","doi":"https://doi.org/10.1007/s41095-015-0024-2","title":"Robust interactive image segmentation via graph-based manifold ranking","display_name":"Robust interactive image segmentation via graph-based manifold ranking","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2265541518","doi":"https://doi.org/10.1007/s41095-015-0024-2","mag":"2265541518"},"language":"en","primary_location":{"id":"doi:10.1007/s41095-015-0024-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-015-0024-2","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs41095-015-0024-2.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"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":"Computational Visual Media","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs41095-015-0024-2.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100339334","display_name":"Hong Li","orcid":"https://orcid.org/0000-0002-7400-7091"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Hong Li","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, 999078, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, 999078, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084590062","display_name":"Wen Wu","orcid":"https://orcid.org/0000-0002-2132-5993"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Wen Wu","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, 999078, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, 999078, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013119881","display_name":"Enhua Wu","orcid":"https://orcid.org/0000-0002-2174-1428"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Enhua Wu","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, 100000, China","Department of Computer and Information Science, University of Macau, Macau, 999078, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, 100000, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, 999078, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100339334"],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":2.4333,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.92884104,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"1","issue":"3","first_page":"183","last_page":"195"},"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":0.9993000030517578,"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9965000152587891,"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":0.9941999912261963,"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/computer-science","display_name":"Computer science","score":0.602364718914032},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.5790561437606812},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5702310800552368},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5480915307998657},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5278410911560059},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5226383209228516},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4619498550891876},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46125921607017517},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3377852439880371},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1852720081806183}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.602364718914032},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.5790561437606812},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5702310800552368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5480915307998657},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5278410911560059},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5226383209228516},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4619498550891876},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46125921607017517},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3377852439880371},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1852720081806183}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s41095-015-0024-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-015-0024-2","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs41095-015-0024-2.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"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":"Computational Visual Media","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s41095-015-0024-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-015-0024-2","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs41095-015-0024-2.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"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":"Computational Visual Media","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1564401967","display_name":null,"funder_award_id":"MYRG202(Y1-L4)-FST11-WEH","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"},{"id":"https://openalex.org/G1650012542","display_name":null,"funder_award_id":"MYRG2014-00139-FST","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"},{"id":"https://openalex.org/G8805498285","display_name":"\u57fa\u4e8e\u7269\u7406\u4e0e\u751f\u7269\u7684\u65f6\u53d8\u573a\u666f\u7684\u6a21\u62df","funder_award_id":"61272326","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/F4320322841","display_name":"Universidade de Macau","ror":"https://ror.org/01r4q9n85"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2265541518.pdf","grobid_xml":"https://content.openalex.org/works/W2265541518.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W79315950","https://openalex.org/W1979393293","https://openalex.org/W1997724805","https://openalex.org/W2034110104","https://openalex.org/W2036709663","https://openalex.org/W2051179318","https://openalex.org/W2055224458","https://openalex.org/W2067191022","https://openalex.org/W2083277843","https://openalex.org/W2087107241","https://openalex.org/W2093164524","https://openalex.org/W2096579040","https://openalex.org/W2103423579","https://openalex.org/W2105492237","https://openalex.org/W2108424265","https://openalex.org/W2114650767","https://openalex.org/W2118246710","https://openalex.org/W2121947440","https://openalex.org/W2124351162","https://openalex.org/W2125637308","https://openalex.org/W2126099240","https://openalex.org/W2131791003","https://openalex.org/W2154455818","https://openalex.org/W2162310225","https://openalex.org/W2165734775","https://openalex.org/W2167388493","https://openalex.org/W2168555635","https://openalex.org/W2169551590","https://openalex.org/W2170490343","https://openalex.org/W2293828611","https://openalex.org/W2294819727","https://openalex.org/W2914661394","https://openalex.org/W2914784861"],"related_works":["https://openalex.org/W2319989118","https://openalex.org/W1522196789","https://openalex.org/W1991998366","https://openalex.org/W1503820821","https://openalex.org/W2285491073","https://openalex.org/W3112751614","https://openalex.org/W1995979513","https://openalex.org/W642358674","https://openalex.org/W4243159856","https://openalex.org/W4249185555"],"abstract_inverted_index":{"Interactive":[0],"image":[1,7,30,195],"segmentation":[2,31,63,160],"aims":[3],"at":[4],"classifying":[5],"the":[6,53,58,91,99,134,147,158,164,222],"pixels":[8],"into":[9,117],"foreground":[10,16,246],"and":[11,17,80,93,111,123,166,174,212,231,243],"background":[12,18],"classes":[13],"given":[14],"some":[15,214],"markers.":[19],"In":[20],"this":[21],"paper,":[22],"we":[23,97],"propose":[24],"a":[25,39,142,150],"novel":[26,151],"framework":[27,202,240],"for":[28,213],"interactive":[29,194],"that":[32,238],"builds":[33],"upon":[34],"graph-based":[35,40],"manifold":[36],"ranking":[37],"model,":[38],"semi-supervised":[41],"learning":[42],"technique":[43],"which":[44,139,188],"can":[45,180,219,241],"learn":[46],"very":[47,204],"smooth":[48],"functions":[49],"with":[50,233],"respect":[51],"to":[52,132,156,163,206,209],"intrinsic":[54],"structure":[55,79,119],"revealed":[56],"by":[57,67,107],"input":[59],"data.":[60],"The":[61,84,121],"final":[62,159],"results":[64,230],"are":[65,88,189],"improved":[66],"overcoming":[68],"two":[69,190],"core":[70,191],"problems":[71],"of":[72,136,170,176],"graph":[73,78,81,100,106,118,148,173],"construction":[74],"in":[75,193],"traditional":[76],"models:":[77],"edge":[82],"weights.":[83],"user":[85,184],"provided":[86],"scribbles":[87],"treated":[89],"as":[90,101],"must-link":[92],"must-not-link":[94],"constraints.":[95],"Then":[96],"model":[98,179],"an":[102],"approximatively":[103],"k-regular":[104],"sparse":[105],"integrating":[108],"these":[109],"constraints":[110],"our":[112,171,178,201,239],"extended":[113,167,208],"neighboring":[114,168],"spatial":[115],"relationships":[116,169],"modeling.":[120],"content":[122],"labels":[124],"driven":[125],"locally":[126],"adaptive":[127],"kernel":[128,144],"parameter":[129],"is":[130,154,203],"proposed":[131,155],"tackle":[133],"insufficiency":[135],"previous":[137],"models":[138],"usually":[140],"employ":[141],"unified":[143],"parameter.":[145],"After":[146],"construction,":[149],"three-stage":[152],"strategy":[153],"get":[157,221],"results.":[161],"Due":[162],"sparsity":[165],"constructed":[172],"usage":[175],"superpixels,":[177],"provide":[181],"nearly":[182],"real-time,":[183],"scribble":[185],"insensitive":[186],"segmentations":[187],"demands":[192],"segmentation.":[196],"Last":[197],"but":[198],"not":[199],"least,":[200],"easy":[205],"be":[207],"multi-label":[210],"segmentation,":[211],"less":[215],"complicated":[216],"scenarios,":[217],"it":[218],"even":[220],"segmented":[223],"object":[224],"through":[225],"single":[226],"line":[227],"interaction.":[228],"Experimental":[229],"comparisons":[232],"other":[234],"state-of-the-art":[235],"methods":[236],"demonstrate":[237],"efficiently":[242],"accurately":[244],"extract":[245],"objects":[247],"from":[248],"background.":[249]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}