{"id":"https://openalex.org/W3111279179","doi":"https://doi.org/10.1109/tii.2020.3044068","title":"Superpixel Segmentation Based on Spatially Constrained Subspace Clustering","display_name":"Superpixel Segmentation Based on Spatially Constrained Subspace Clustering","publication_year":2020,"publication_date":"2020-12-11","ids":{"openalex":"https://openalex.org/W3111279179","doi":"https://doi.org/10.1109/tii.2020.3044068","mag":"3111279179"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2020.3044068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2020.3044068","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-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/A5078094074","display_name":"Hua Li","orcid":"https://orcid.org/0000-0003-0740-0691"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Hua Li","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong","School of Software Engineering, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-0740-0691","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"School of Software Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013880628","display_name":"Yuheng Jia","orcid":"https://orcid.org/0000-0002-3907-6550"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuheng Jia","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-3907-6550","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091558139","display_name":"Runmin Cong","orcid":"https://orcid.org/0000-0003-0972-4008"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runmin Cong","raw_affiliation_strings":["Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China","Institute of Information Science, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0972-4008","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081114494","display_name":"Wenhui Wu","orcid":"https://orcid.org/0000-0002-0416-7719"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhui Wu","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0416-7719","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Sam Tak Wu Kwong","raw_affiliation_strings":["City University of Hong Kong Shenzhen Research Institute, Shenzhen, China","Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-7484-7261","affiliations":[{"raw_affiliation_string":"City University of Hong Kong Shenzhen Research Institute, Shenzhen, China","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I4210105229"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109953350","display_name":"Chuanbo Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanbo Chen","raw_affiliation_strings":["School of Software Engineering, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-8454-1407","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5078094074"],"corresponding_institution_ids":["https://openalex.org/I168719708","https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.785,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.75232111,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"17","issue":"11","first_page":"7501","last_page":"7512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9973999857902527,"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":0.9973999857902527,"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":0.9973000288009644,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9933000206947327,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6755426526069641},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6655721068382263},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6431378126144409},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6355476379394531},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6295046210289001},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6277497410774231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6120778322219849},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5701532363891602},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4700329005718231},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.43066614866256714},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4221703112125397},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3718741536140442},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3423495292663574}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6755426526069641},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6655721068382263},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6431378126144409},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6355476379394531},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6295046210289001},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6277497410774231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6120778322219849},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5701532363891602},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4700329005718231},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.43066614866256714},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4221703112125397},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3718741536140442},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3423495292663574},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2020.3044068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2020.3044068","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5}],"awards":[{"id":"https://openalex.org/G3097790277","display_name":null,"funder_award_id":"2019RC039","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G348600402","display_name":null,"funder_award_id":"2020T130050","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4608080322","display_name":null,"funder_award_id":"62002014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4835894923","display_name":null,"funder_award_id":"61772344","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5432095370","display_name":null,"funder_award_id":"Z201100006820016","funder_id":"https://openalex.org/F4320334978","funder_display_name":"Beijing Nova Program"},{"id":"https://openalex.org/G6207169227","display_name":null,"funder_award_id":"62006158","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G750876505","display_name":null,"funder_award_id":"2019M660438","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320334978","display_name":"Beijing Nova Program","ror":"https://ror.org/034k14f91"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2016872984","https://openalex.org/W2049444988","https://openalex.org/W2088748973","https://openalex.org/W2108424265","https://openalex.org/W2118246710","https://openalex.org/W2119531662","https://openalex.org/W2121927366","https://openalex.org/W2121947440","https://openalex.org/W2149233894","https://openalex.org/W2164278908","https://openalex.org/W2308736390","https://openalex.org/W2340897893","https://openalex.org/W2402479123","https://openalex.org/W2470139095","https://openalex.org/W2523532944","https://openalex.org/W2573546209","https://openalex.org/W2584490639","https://openalex.org/W2625093932","https://openalex.org/W2750950678","https://openalex.org/W2763731268","https://openalex.org/W2766912043","https://openalex.org/W2767623212","https://openalex.org/W2798380924","https://openalex.org/W2883606943","https://openalex.org/W2894660140","https://openalex.org/W2898233200","https://openalex.org/W2911886290","https://openalex.org/W2912590536","https://openalex.org/W2933213756","https://openalex.org/W2936582298","https://openalex.org/W2967610771","https://openalex.org/W2967978008","https://openalex.org/W2970567068","https://openalex.org/W2987860915","https://openalex.org/W3035241330","https://openalex.org/W3092818227","https://openalex.org/W3105291825","https://openalex.org/W4292363360","https://openalex.org/W6739340707"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2371519352","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2901890255"],"abstract_inverted_index":{"Superpixel":[0],"segmentation":[1,41,71,91,119],"aims":[2],"at":[3],"dividing":[4],"the":[5,25,37,93,103,107,122,146,161,169,190],"input":[6],"image":[7],"into":[8,156],"some":[9,202],"representative":[10,58],"regions":[11],"containing":[12],"pixels":[13,108,149],"with":[14,60,92,150,164,201],"similar":[15,151],"and":[16,27,67,118,132,159,198],"consistent":[17],"intrinsic":[18],"properties,":[19],"without":[20],"any":[21],"prior":[22],"knowledge":[23],"about":[24],"shape":[26],"size":[28],"of":[29,39,89,106,180],"each":[30,57],"superpixel.":[31],"In":[32],"this":[33],"article,":[34],"to":[35,52,77,102,115,144,153],"alleviate":[36],"limitation":[38],"superpixel":[40,70,90,158],"applied":[42],"in":[43],"practical":[44],"industrial":[45],"tasks":[46],"that":[47,85,141,189],"detailed":[48,80,166],"boundaries":[49],"are":[50],"difficult":[51],"be":[53,154],"kept,":[54],"we":[55,127],"regard":[56],"region":[59],"independent":[61],"semantic":[62],"information":[63],"as":[64,72],"a":[65,73,86,110,129,134,157],"subspace,":[66],"correspondingly":[68],"formulate":[69],"subspace":[74,95,138],"clustering":[75,96,139],"problem":[76],"preserve":[78],"more":[79,165],"content":[81],"boundaries.":[82,167],"We":[83],"show":[84],"simple":[87],"integration":[88],"conventional":[94],"does":[97],"not":[98],"effectively":[99],"work":[100],"due":[101],"spatial":[104,130,147],"correlation":[105,123],"within":[109],"superpixel,":[111],"which":[112],"may":[113],"lead":[114],"boundary":[116],"confusion":[117],"error":[120],"when":[121],"is":[124,142,172],"ignored.":[125],"Consequently,":[126],"devise":[128],"regularization":[131],"propose":[133],"novel":[135],"convex":[136],"locality-constrained":[137],"model":[140,171],"able":[143],"constrain":[145],"adjacent":[148],"attributes":[152],"clustered":[155],"generate":[160],"content-aware":[162],"superpixels":[163],"Finally,":[168],"proposed":[170,191],"solved":[173],"by":[174],"an":[175],"efficient":[176],"alternating":[177],"direction":[178],"method":[179,192],"multipliers":[181],"solver.":[182],"Experiments":[183],"on":[184],"different":[185],"standard":[186],"datasets":[187],"demonstrate":[188],"achieves":[193],"superior":[194],"performance":[195],"both":[196],"quantitatively":[197],"qualitatively":[199],"compared":[200],"state-of-the-art":[203],"methods.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}