{"id":"https://openalex.org/W2800451716","doi":"https://doi.org/10.1109/tpami.2018.2832628","title":"Occlusion-Aware Method for Temporally Consistent Superpixels","display_name":"Occlusion-Aware Method for Temporally Consistent Superpixels","publication_year":2018,"publication_date":"2018-05-03","ids":{"openalex":"https://openalex.org/W2800451716","doi":"https://doi.org/10.1109/tpami.2018.2832628","mag":"2800451716","pmid":"https://pubmed.ncbi.nlm.nih.gov/29993437"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2018.2832628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2018.2832628","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5089801184","display_name":"Matthias Reso","orcid":"https://orcid.org/0000-0002-1582-5860"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]},{"id":"https://openalex.org/I4210088543","display_name":"Institut f\u00fcr Informationsverarbeitung","ror":"https://ror.org/0047j9t38","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210088543"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Matthias Reso","raw_affiliation_strings":["Insitut f\u00fcr Informationsverarbeitung, Gottfried Wilhelm Leibniz Universit\u00e4t Hannover, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"Insitut f\u00fcr Informationsverarbeitung, Gottfried Wilhelm Leibniz Universit\u00e4t Hannover, Hannover, Germany","institution_ids":["https://openalex.org/I4210088543","https://openalex.org/I114112103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004818538","display_name":"J\u00f6rn Jachalsky","orcid":null},"institutions":[{"id":"https://openalex.org/I2929663463","display_name":"Technicolor (Germany)","ror":"https://ror.org/00besvm65","country_code":"DE","type":"company","lineage":["https://openalex.org/I2929663463","https://openalex.org/I4210121266"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jorn Jachalsky","raw_affiliation_strings":["Technicolor Research & Innovation, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"Technicolor Research & Innovation, Hannover, Germany","institution_ids":["https://openalex.org/I2929663463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040412734","display_name":"Bodo Rosenhahn","orcid":"https://orcid.org/0000-0003-3861-1424"},"institutions":[{"id":"https://openalex.org/I4210088543","display_name":"Institut f\u00fcr Informationsverarbeitung","ror":"https://ror.org/0047j9t38","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210088543"]},{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bodo Rosenhahn","raw_affiliation_strings":["Insitut f\u00fcr Informationsverarbeitung, Gottfried Wilhelm Leibniz Universit\u00e4t Hannover, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"Insitut f\u00fcr Informationsverarbeitung, Gottfried Wilhelm Leibniz Universit\u00e4t Hannover, Hannover, Germany","institution_ids":["https://openalex.org/I4210088543","https://openalex.org/I114112103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064913233","display_name":"J\u00f6rn \u00d6stermann","orcid":"https://orcid.org/0000-0002-6743-3324"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]},{"id":"https://openalex.org/I4210088543","display_name":"Institut f\u00fcr Informationsverarbeitung","ror":"https://ror.org/0047j9t38","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210088543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jorn Ostermann","raw_affiliation_strings":["Insitut f\u00fcr Informationsverarbeitung, Gottfried Wilhelm Leibniz Universit\u00e4t Hannover, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"Insitut f\u00fcr Informationsverarbeitung, Gottfried Wilhelm Leibniz Universit\u00e4t Hannover, Hannover, Germany","institution_ids":["https://openalex.org/I4210088543","https://openalex.org/I114112103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089801184"],"corresponding_institution_ids":["https://openalex.org/I114112103","https://openalex.org/I4210088543"],"apc_list":null,"apc_paid":null,"fwci":1.2535,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84618475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"41","issue":"6","first_page":"1441","last_page":"1454"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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":0.7680481672286987},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7516077756881714},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7391141653060913},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6552638411521912},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5678776502609253},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5514267683029175},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5361526012420654},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47935420274734497},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.45474007725715637},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36985480785369873},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13460150361061096}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7680481672286987},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7516077756881714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7391141653060913},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6552638411521912},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5678776502609253},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5514267683029175},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5361526012420654},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47935420274734497},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.45474007725715637},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36985480785369873},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13460150361061096},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2018.2832628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2018.2832628","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:29993437","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29993437","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W65124300","https://openalex.org/W159595522","https://openalex.org/W1500853963","https://openalex.org/W1513100184","https://openalex.org/W1542723449","https://openalex.org/W1548953334","https://openalex.org/W1964991682","https://openalex.org/W1970786134","https://openalex.org/W1971114542","https://openalex.org/W1994356125","https://openalex.org/W1994938019","https://openalex.org/W1999478155","https://openalex.org/W2003088946","https://openalex.org/W2012960460","https://openalex.org/W2024938892","https://openalex.org/W2030346542","https://openalex.org/W2052311585","https://openalex.org/W2062563118","https://openalex.org/W2081432165","https://openalex.org/W2096979710","https://openalex.org/W2101309634","https://openalex.org/W2104125540","https://openalex.org/W2111421929","https://openalex.org/W2112255529","https://openalex.org/W2117435890","https://openalex.org/W2118246710","https://openalex.org/W2119531662","https://openalex.org/W2124351162","https://openalex.org/W2126164636","https://openalex.org/W2128715362","https://openalex.org/W2136539266","https://openalex.org/W2136786668","https://openalex.org/W2139086308","https://openalex.org/W2143516773","https://openalex.org/W2155871590","https://openalex.org/W2167077256","https://openalex.org/W2168538937","https://openalex.org/W2205583023","https://openalex.org/W2293105860","https://openalex.org/W2294602567","https://openalex.org/W2295706483","https://openalex.org/W2320042159","https://openalex.org/W2407715397","https://openalex.org/W2470139095","https://openalex.org/W2520151245","https://openalex.org/W2804865177","https://openalex.org/W2914242123","https://openalex.org/W3102040511","https://openalex.org/W3103236591","https://openalex.org/W4251552374","https://openalex.org/W6629780553","https://openalex.org/W6630726011","https://openalex.org/W6632792525","https://openalex.org/W6670927870","https://openalex.org/W6676820660","https://openalex.org/W6679274461","https://openalex.org/W6697111280","https://openalex.org/W6713827565","https://openalex.org/W6758503643"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2087343574","https://openalex.org/W4246352526","https://openalex.org/W2121910908"],"abstract_inverted_index":{"A":[0],"wide":[1],"variety":[2],"of":[3,36,81,95,100,126,138,158],"computer":[4],"vision":[5],"applications":[6],"rely":[7],"on":[8],"superpixel":[9,82,140,167],"or":[10,39,119],"supervoxel":[11,165],"algorithms":[12,168],"as":[13,65],"a":[14,34,66],"preprocessing":[15],"step.":[16],"This":[17,134],"underlines":[18],"the":[19,79,93,98,123,131,136,139,143,148,156],"overall":[20],"importance":[21],"that":[22],"these":[23],"approaches":[24],"have":[25],"gained":[26],"in":[27,41,130,147,161],"recent":[28],"years.":[29],"However,":[30],"most":[31],"methods":[32],"show":[33,155],"lack":[35],"temporal":[37],"consistency":[38],"fail":[40],"producing":[42],"temporally":[43,55],"stable":[44],"superpixels.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49,154],"present":[50,146],"an":[51,72],"approach":[52,160],"to":[53,77,108,163],"generate":[54],"consistent":[56],"superpixels":[57,96,112,127],"for":[58,169],"video":[59,170],"content.":[60,171],"Our":[61],"method":[62],"is":[63,106],"formulated":[64],"contour-evolving":[67],"expectation-maximization":[68],"framework,":[69],"which":[70],"utilizes":[71],"efficient":[73],"label":[74],"propagation":[75],"scheme":[76],"encourage":[78],"preservation":[80],"shapes":[83],"and":[84,97,110,166],"their":[85],"relative":[86],"positioning":[87],"over":[88],"time.":[89],"By":[90],"explicitly":[91],"detecting":[92],"occlusion":[94],"disocclusion":[99],"new":[101],"image":[102,115],"regions,":[103],"our":[104,159],"framework":[105],"able":[107],"terminate":[109],"create":[111],"whose":[113],"corresponding":[114],"region":[116],"becomes":[117],"hidden":[118],"newly":[120],"appears.":[121],"Additionally,":[122],"occluded":[124],"parts":[125],"are":[128],"incorporated":[129],"further":[132],"optimization.":[133],"increases":[135],"compliance":[137],"flow":[141,145],"with":[142],"optical":[144],"scene.":[149],"Using":[150],"established":[151],"benchmark":[152],"suites,":[153],"performance":[157],"comparison":[162],"state-of-the-art":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}