{"id":"https://openalex.org/W2024938892","doi":"https://doi.org/10.1109/cvpr.2015.7298697","title":"Classifier based graph construction for video segmentation","display_name":"Classifier based graph construction for video segmentation","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W2024938892","doi":"https://doi.org/10.1109/cvpr.2015.7298697","mag":"2024938892"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11573/1317754","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026832311","display_name":"Anna Khoreva","orcid":"https://orcid.org/0000-0003-4292-4810"},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]},{"id":"https://openalex.org/I149899117","display_name":"Max Planck Society","ror":"https://ror.org/01hhn8329","country_code":"DE","type":"funder","lineage":["https://openalex.org/I149899117"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Anna Khoreva","raw_affiliation_strings":["Max Planck Institute for Informatics, Germany","Max-Planck Institute for Informatics, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics, Germany","institution_ids":["https://openalex.org/I4210109712"]},{"raw_affiliation_string":"Max-Planck Institute for Informatics, Germany#TAB#","institution_ids":["https://openalex.org/I149899117"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033120247","display_name":"Fabio Galasso","orcid":"https://orcid.org/0000-0003-1875-7813"},"institutions":[{"id":"https://openalex.org/I4210103613","display_name":"OSRAM (Germany)","ror":"https://ror.org/01c0x3431","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210103613"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fabio Galasso","raw_affiliation_strings":["OSRAM Corporate Technolozy, Germany","OSRAM Corporate Technology, Germany"],"affiliations":[{"raw_affiliation_string":"OSRAM Corporate Technolozy, Germany","institution_ids":["https://openalex.org/I4210103613"]},{"raw_affiliation_string":"OSRAM Corporate Technology, Germany","institution_ids":["https://openalex.org/I4210103613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025830560","display_name":"Matthias Hein","orcid":"https://orcid.org/0000-0002-8751-7760"},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Hein","raw_affiliation_strings":["Saarland University, Germany","Saarland Univ., Germany"],"affiliations":[{"raw_affiliation_string":"Saarland University, Germany","institution_ids":["https://openalex.org/I91712215"]},{"raw_affiliation_string":"Saarland Univ., Germany","institution_ids":["https://openalex.org/I91712215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051534545","display_name":"Bernt Schiele","orcid":"https://orcid.org/0000-0001-9683-5237"},"institutions":[{"id":"https://openalex.org/I149899117","display_name":"Max Planck Society","ror":"https://ror.org/01hhn8329","country_code":"DE","type":"funder","lineage":["https://openalex.org/I149899117"]},{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernt Schiele","raw_affiliation_strings":["Max Planck Institute for Informatics, Germany","Max-Planck Institute for Informatics, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics, Germany","institution_ids":["https://openalex.org/I4210109712"]},{"raw_affiliation_string":"Max-Planck Institute for Informatics, Germany#TAB#","institution_ids":["https://openalex.org/I149899117"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026832311"],"corresponding_institution_ids":["https://openalex.org/I149899117","https://openalex.org/I4210109712"],"apc_list":null,"apc_paid":null,"fwci":7.3638,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.98117284,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"951","last_page":"960"},"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":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994000196456909,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9980000257492065,"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":0.7430247068405151},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6094140410423279},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5789178609848022},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5539671778678894},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44452473521232605},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4379641115665436},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42936909198760986},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4118776321411133},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10912740230560303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7430247068405151},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6094140410423279},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5789178609848022},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5539671778678894},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44452473521232605},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4379641115665436},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42936909198760986},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4118776321411133},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10912740230560303}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2015.7298697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1317754","is_oa":true,"landing_page_url":"http://hdl.handle.net/11573/1317754","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:iris.uniroma1.it:11573/1317754","is_oa":true,"landing_page_url":"http://hdl.handle.net/11573/1317754","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W105270443","https://openalex.org/W159595522","https://openalex.org/W312773032","https://openalex.org/W617332453","https://openalex.org/W1484228140","https://openalex.org/W1496571393","https://openalex.org/W1500853963","https://openalex.org/W1515325541","https://openalex.org/W1530781137","https://openalex.org/W1536434015","https://openalex.org/W1543963486","https://openalex.org/W1559046793","https://openalex.org/W1578985305","https://openalex.org/W1759689472","https://openalex.org/W1847819110","https://openalex.org/W1929880813","https://openalex.org/W1955404912","https://openalex.org/W1981264533","https://openalex.org/W1994356125","https://openalex.org/W2002850151","https://openalex.org/W2012960460","https://openalex.org/W2014795190","https://openalex.org/W2028204211","https://openalex.org/W2030346542","https://openalex.org/W2068649797","https://openalex.org/W2068994826","https://openalex.org/W2081432165","https://openalex.org/W2087570216","https://openalex.org/W2092284239","https://openalex.org/W2096979710","https://openalex.org/W2098056602","https://openalex.org/W2099814188","https://openalex.org/W2104125540","https://openalex.org/W2105297725","https://openalex.org/W2108944208","https://openalex.org/W2110158442","https://openalex.org/W2113708607","https://openalex.org/W2120189049","https://openalex.org/W2121947440","https://openalex.org/W2125310925","https://openalex.org/W2126164636","https://openalex.org/W2128715362","https://openalex.org/W2129587342","https://openalex.org/W2132914434","https://openalex.org/W2135957668","https://openalex.org/W2136539266","https://openalex.org/W2136786668","https://openalex.org/W2136935487","https://openalex.org/W2138682569","https://openalex.org/W2141923507","https://openalex.org/W2149443616","https://openalex.org/W2155598147","https://openalex.org/W2165140157","https://openalex.org/W2165874743","https://openalex.org/W2167331599","https://openalex.org/W2171147867","https://openalex.org/W2294631093","https://openalex.org/W4285719527","https://openalex.org/W6604191837","https://openalex.org/W6606481039","https://openalex.org/W6629607343","https://openalex.org/W6629780553","https://openalex.org/W6630825677","https://openalex.org/W6631910717","https://openalex.org/W6631986042","https://openalex.org/W6633313784","https://openalex.org/W6637757992","https://openalex.org/W6638910700","https://openalex.org/W6640519407","https://openalex.org/W6670927870","https://openalex.org/W6675126839","https://openalex.org/W6677742080","https://openalex.org/W6677945368","https://openalex.org/W6681994842","https://openalex.org/W6684578312","https://openalex.org/W6696794720","https://openalex.org/W7037270093"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W4324315429","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W2799953226","https://openalex.org/W2049864679","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Video":[0],"segmentation":[1,59,100,154],"has":[2],"become":[3],"an":[4],"important":[5],"and":[6,36,76,126],"active":[7],"research":[8,88],"area":[9],"with":[10],"a":[11,52,63,68,93,117],"large":[12],"diversity":[13],"of":[14,25,42,54,71,106,116,149],"proposed":[15],"approaches.":[16],"Graph-based":[17],"methods,":[18],"enabling":[19],"top-performance":[20],"on":[21,89,158],"recent":[22],"benchmarks,":[23],"consist":[24],"three":[26],"essential":[27],"components:":[28],"1.":[29],"powerful":[30],"features":[31,72,113],"account":[32],"for":[33],"object":[34],"appearance":[35],"motion":[37],"similarities;":[38],"2.":[39],"spatio-temporal":[40],"neighborhoods":[41],"pixels":[43],"or":[44],"superpixels":[45],"(the":[46],"graph":[47,64,78,94,129,137,142,172],"edges)":[48],"are":[49],"modeled":[50],"using":[51],"combination":[53],"those":[55],"features;":[56],"3.":[57],"video":[58,99,153],"is":[60,85,103,173],"formulated":[61],"as":[62,123,169],"partitioning":[65,143],"problem.":[66],"While":[67],"wide":[69],"variety":[70],"have":[73,81],"been":[74,82],"explored":[75],"various":[77],"partition":[79],"algorithms":[80],"proposed,":[83],"there":[84],"surprisingly":[86],"little":[87],"how":[90],"to":[91,95,111,140],"construct":[92],"obtain":[96],"the":[97,104,128,136,141,147,150,159,170],"best":[98,151],"performance.":[101],"This":[102],"focus":[105],"our":[107],"paper.":[108],"We":[109],"propose":[110],"combine":[112],"by":[114,131,156,167],"means":[115],"classifier,":[118],"use":[119],"calibrated":[120],"classifier":[121],"outputs":[122],"edge":[124,132],"weights":[125],"define":[127],"topology":[130],"selection.":[133],"By":[134],"learning":[135],"(without":[138],"changes":[139],"method),":[144],"we":[145],"improve":[146],"results":[148],"performing":[152],"algorithm":[155],"6%":[157],"challenging":[160],"VSB100":[161],"benchmark,":[162],"while":[163],"reducing":[164],"its":[165],"runtime":[166],"55%,":[168],"learnt":[171],"much":[174],"sparser.":[175]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":17},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
