{"id":"https://openalex.org/W4312710511","doi":"https://doi.org/10.1109/tcsvt.2022.3216303","title":"High Quality Superpixel Generation Through Regional Decomposition","display_name":"High Quality Superpixel Generation Through Regional Decomposition","publication_year":2022,"publication_date":"2022-11-03","ids":{"openalex":"https://openalex.org/W4312710511","doi":"https://doi.org/10.1109/tcsvt.2022.3216303"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3216303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3216303","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5031548326","display_name":"Yunyang Xu","orcid":"https://orcid.org/0000-0001-8649-6948"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunyang Xu","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068002544","display_name":"Xifeng Gao","orcid":"https://orcid.org/0000-0003-0829-7075"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xifeng Gao","raw_affiliation_strings":["Computer Science Department, Florida State University, Tallahassee, FL, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Florida State University, Tallahassee, FL, USA","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101753050","display_name":"Caiming Zhang","orcid":"https://orcid.org/0000-0003-0217-1543"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caiming Zhang","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China","Shandong Co-Innovation Center of Future Intelligent Computing, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"Shandong Co-Innovation Center of Future Intelligent Computing, Yantai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081629672","display_name":"Jianchao Tan","orcid":"https://orcid.org/0000-0002-9862-2654"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianchao Tan","raw_affiliation_strings":["Kuaishou Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100420276","display_name":"Xuemei Li","orcid":"https://orcid.org/0000-0001-5064-7425"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemei Li","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031548326"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":1.6106,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.85025811,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"33","issue":"4","first_page":"1802","last_page":"1815"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"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":0.9987000226974487,"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":0.9983999729156494,"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":0.7188151478767395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6254807710647583},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.584323525428772},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5768294930458069},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5404233932495117},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5308650135993958},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.518393337726593},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5167109966278076},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5035402178764343},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49881839752197266},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4714687168598175},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45041534304618835},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.41345447301864624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2562103271484375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7188151478767395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6254807710647583},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.584323525428772},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5768294930458069},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5404233932495117},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5308650135993958},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.518393337726593},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5167109966278076},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5035402178764343},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49881839752197266},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4714687168598175},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45041534304618835},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.41345447301864624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2562103271484375},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3216303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3216303","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G4390242212","display_name":null,"funder_award_id":"62072281","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7751856936","display_name":null,"funder_award_id":"62007017","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1954128991","https://openalex.org/W1982075130","https://openalex.org/W2003060733","https://openalex.org/W2055611119","https://openalex.org/W2073658943","https://openalex.org/W2073842936","https://openalex.org/W2074621908","https://openalex.org/W2081178133","https://openalex.org/W2086791339","https://openalex.org/W2104125540","https://openalex.org/W2105303837","https://openalex.org/W2118246710","https://openalex.org/W2121927366","https://openalex.org/W2128340050","https://openalex.org/W2135431554","https://openalex.org/W2162253476","https://openalex.org/W2162651021","https://openalex.org/W2220312492","https://openalex.org/W2293105860","https://openalex.org/W2317884369","https://openalex.org/W2320042159","https://openalex.org/W2381113548","https://openalex.org/W2492193277","https://openalex.org/W2529970009","https://openalex.org/W2549571110","https://openalex.org/W2573546209","https://openalex.org/W2592370397","https://openalex.org/W2603078356","https://openalex.org/W2741137940","https://openalex.org/W2789523586","https://openalex.org/W2883606943","https://openalex.org/W2914056661","https://openalex.org/W2914921975","https://openalex.org/W2944512670","https://openalex.org/W3035241330","https://openalex.org/W3036076032","https://openalex.org/W3045488477","https://openalex.org/W3113762501","https://openalex.org/W3124408609","https://openalex.org/W3163919205","https://openalex.org/W3173785487","https://openalex.org/W3217580681","https://openalex.org/W4212803998","https://openalex.org/W4241071816","https://openalex.org/W4285019520"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W4230315250","https://openalex.org/W2086519370","https://openalex.org/W2087343574"],"abstract_inverted_index":{"Superpixel":[0],"generation":[1],"is":[2,31,55,72,105,206],"increasingly":[3],"an":[4,142],"important":[5],"area":[6],"for":[7,180],"computer":[8],"vision":[9],"tasks.":[10],"While":[11],"superpixels":[12,71,165,190],"with":[13,191],"highly":[14],"regular":[15,189],"shapes":[16],"are":[17,170],"preferred":[18],"to":[19,57,118,146,172],"make":[20],"the":[21,25,28,50,67,84,102,120,129,135,161,173],"subsequent":[22],"processing":[23],"easier,":[24],"accuracy":[26],"of":[27,70,86,100,164],"superpixel":[29,97],"boundaries":[30],"also":[32,82],"necessary.":[33],"Previous":[34],"methods":[35,197],"usually":[36],"depend":[37],"on":[38,49],"a":[39,94,109,115,200],"distance":[40],"function":[41],"considering":[42],"both":[43],"spatial":[44],"and":[45,62,78,114,125,134,150],"color":[46],"coherency":[47],"regularization":[48],"whole":[51],"image,":[52],"which":[53,101],"however":[54],"hard":[56],"balance":[58],"between":[59],"shape":[60,132],"regularity":[61,133],"boundary":[63,138,193],"adherence,":[64,139],"especially":[65],"when":[66],"desired":[68,162],"number":[69,163],"small.":[73],"In":[74],"addition,":[75],"non-adaptive":[76],"parameters":[77,169],"insufficient":[79],"contour":[80,111],"information":[81,112],"affect":[83],"performance":[85],"segmentation.":[87],"To":[88],"mitigate":[89],"these":[90],"problems,":[91],"we":[92,107],"propose":[93],"robust":[95],"divide-and-conquer":[96],"segmentation":[98],"method,":[99],"core":[103],"idea":[104],"that":[106,179],"apply":[108],"new":[110],"extraction":[113],"pixel":[116],"clustering":[117],"separate":[119],"input":[121],"image":[122,174],"into":[123],"flat":[124],"non-flat":[126],"regions,":[127],"where":[128],"former":[130],"targets":[131],"latter":[136],"emphasizes":[137],"followed":[140],"by":[141],"efficient":[143],"hierarchical":[144],"merging":[145],"clean":[147],"up":[148],"tiny":[149],"dangling":[151],"superpixels.":[152],"Our":[153],"algorithm":[154,185],"requires":[155],"no":[156],"additional":[157],"parameter":[158],"tuning":[159],"except":[160],"since":[166],"our":[167,184],"internal":[168],"self-adaptive":[171],"contents.":[175],"Experimental":[176],"results":[177],"demonstrate":[178],"public":[181],"benchmark":[182],"datasets,":[183],"consistently":[186],"generates":[187],"more":[188],"stronger":[192],"adherence":[194],"than":[195],"state-of-the-art":[196],"while":[198],"maintaining":[199],"competitive":[201],"efficiency.":[202],"The":[203],"source":[204],"code":[205],"available":[207],"at":[208],"<uri":[209],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[210],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/YunyangXu/HQSGRD</uri>":[211],".":[212]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
