{"id":"https://openalex.org/W2312702309","doi":"https://doi.org/10.1017/s0263574715000053","title":"Online topological segmentation of visual sequences using the algebraic connectivity of graphs","display_name":"Online topological segmentation of visual sequences using the algebraic connectivity of graphs","publication_year":2015,"publication_date":"2015-02-24","ids":{"openalex":"https://openalex.org/W2312702309","doi":"https://doi.org/10.1017/s0263574715000053","mag":"2312702309"},"language":"en","primary_location":{"id":"doi:10.1017/s0263574715000053","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0263574715000053","pdf_url":null,"source":{"id":"https://openalex.org/S92163612","display_name":"Robotica","issn_l":"0263-5747","issn":["0263-5747","1469-8668"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Robotica","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/A5047794771","display_name":"Jaime Boal","orcid":"https://orcid.org/0000-0002-7547-0942"},"institutions":[{"id":"https://openalex.org/I96580804","display_name":"Universidad Pontificia Comillas","ror":"https://ror.org/017mdc710","country_code":"ES","type":"education","lineage":["https://openalex.org/I96580804"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Jaime Boal","raw_affiliation_strings":["Institute for Research in Technology (IIT), ICAI School of Engineering, Comillas Pontifical University, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Research in Technology (IIT), ICAI School of Engineering, Comillas Pontifical University, Madrid, Spain","institution_ids":["https://openalex.org/I96580804"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013417902","display_name":"\u00c1lvaro S\u00e1nchez Miralles","orcid":"https://orcid.org/0000-0003-0410-511X"},"institutions":[{"id":"https://openalex.org/I96580804","display_name":"Universidad Pontificia Comillas","ror":"https://ror.org/017mdc710","country_code":"ES","type":"education","lineage":["https://openalex.org/I96580804"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"\u00c1lvaro S\u00e1nchez-Miralles","raw_affiliation_strings":["Institute for Research in Technology (IIT), ICAI School of Engineering, Comillas Pontifical University, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Research in Technology (IIT), ICAI School of Engineering, Comillas Pontifical University, Madrid, Spain","institution_ids":["https://openalex.org/I96580804"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047794771"],"corresponding_institution_ids":["https://openalex.org/I96580804"],"apc_list":null,"apc_paid":null,"fwci":0.1872,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62225031,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"34","issue":"10","first_page":"2400","last_page":"2413"},"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":0.9997000098228455,"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9984999895095825,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.6774746179580688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6493729948997498},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5734435319900513},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.539116621017456},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5278382301330566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5111673474311829},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4914740324020386},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4864787757396698},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.444536030292511},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.43491220474243164},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32579660415649414},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3093176484107971}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.6774746179580688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6493729948997498},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5734435319900513},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.539116621017456},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5278382301330566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5111673474311829},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4914740324020386},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4864787757396698},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.444536030292511},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.43491220474243164},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32579660415649414},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3093176484107971},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1017/s0263574715000053","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0263574715000053","pdf_url":null,"source":{"id":"https://openalex.org/S92163612","display_name":"Robotica","issn_l":"0263-5747","issn":["0263-5747","1469-8668"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Robotica","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W186096846","https://openalex.org/W195533127","https://openalex.org/W398759745","https://openalex.org/W1483365869","https://openalex.org/W1524920060","https://openalex.org/W1578099820","https://openalex.org/W1587744656","https://openalex.org/W1967718366","https://openalex.org/W1996518131","https://openalex.org/W2014915266","https://openalex.org/W2016973934","https://openalex.org/W2026425042","https://openalex.org/W2028938177","https://openalex.org/W2061924782","https://openalex.org/W2069914808","https://openalex.org/W2082092596","https://openalex.org/W2095167136","https://openalex.org/W2097308346","https://openalex.org/W2113767324","https://openalex.org/W2129116669","https://openalex.org/W2131163404","https://openalex.org/W2132914434","https://openalex.org/W2142362566","https://openalex.org/W2144515720","https://openalex.org/W2147915785","https://openalex.org/W2148500748","https://openalex.org/W2149259880","https://openalex.org/W2151103935","https://openalex.org/W2153727510","https://openalex.org/W2154393852","https://openalex.org/W2165874743","https://openalex.org/W2170610624","https://openalex.org/W2200304227","https://openalex.org/W2295727332","https://openalex.org/W2553682957","https://openalex.org/W2561675875","https://openalex.org/W6607976765","https://openalex.org/W6679489070","https://openalex.org/W6684578312","https://openalex.org/W6803376173"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W1966831329","https://openalex.org/W2316074893","https://openalex.org/W2020188645","https://openalex.org/W2739923608","https://openalex.org/W2617958085"],"abstract_inverted_index":{"SUMMARY":[0],"In":[1],"the":[2,7,39,63,175],"context":[3],"of":[4,10,42,62,92,114,141],"topological":[5],"mapping,":[6],"automatic":[8],"segmentation":[9],"an":[11,22,28,49,131],"environment":[12,85,133],"into":[13,51],"meaningful":[14],"and":[15,84,95,106,154,165,183],"distinct":[16],"locations":[17],"is":[18,66,69,80,107],"still":[19],"regarded":[20],"as":[21,98,104],"open":[23],"problem.":[24],"This":[25],"paper":[26],"presents":[27],"algorithm":[29],"to":[30,74,110,117,123,172,180],"extract":[31],"places":[32],"online":[33],"from":[34,147],"image":[35],"sequences":[36],"based":[37,159],"on":[38,77,160],"algebraic":[40],"connectivity":[41],"graphs":[43],"or":[44],"Fiedler":[45],"value,":[46],"which":[47,79,118],"provides":[48],"insight":[50],"how":[52],"well":[53],"connected":[54],"several":[55],"consecutive":[56],"observations":[57],"are.":[58],"The":[59,125],"main":[60],"contribution":[61],"proposed":[64],"method":[65,126,176],"that":[67,174],"it":[68,99],"a":[70,81,143,155,166],"theoretically":[71],"supported":[72],"alternative":[73],"tuning":[75],"thresholds":[76],"similarities,":[78],"difficult":[82,122],"task":[83],"dependent.":[86],"It":[87],"can":[88,177],"accommodate":[89],"any":[90],"type":[91],"feature":[93,150],"detector":[94],"matching":[96],"procedure,":[97],"only":[100],"requires":[101],"non-negative":[102],"similarities":[103],"input,":[105],"therefore":[108],"able":[109],"deal":[111],"with":[112,187],"descriptors":[113,186],"variable":[115,184],"length,":[116],"statistical":[119],"techniques":[120],"are":[121,170],"apply.":[124],"has":[127],"been":[128],"validated":[129],"in":[130],"office":[132],"using":[134],"exclusively":[135],"visual":[136],"information.":[137],"Two":[138],"different":[139],"types":[140],"features,":[142],"bag-of-words":[144],"model":[145],"built":[146],"scale":[148],"invariant":[149],"transform":[151],"(SIFT)":[152],"keypoints,":[153,169],"more":[156],"complex":[157],"fingerprint":[158],"vertical":[161],"lines,":[162],"color":[163],"histograms,":[164],"few":[167],"Star":[168],"employed":[171],"demonstrate":[173],"be":[178],"applied":[179],"both":[181],"fixed":[182],"length":[185],"similar":[188],"results.":[189]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}